Books:

• Ahmed, A., & Picone, J. (Eds.). (2025). Signal Processing in Medicine and Biology: Applications of Artificial Intelligence in Medicine and Biology (Tentative) (1st ed.). Springer. (Download).
• Ahmed, A., & Picone, J. (Eds.). (2024). Machine Learning Applications in Medicine and Biology (1st ed.). Springer. (Download).
• Obeid, I., Picone, J., & Selesnick, I. (Eds.). (2023). Signal Processing in Medicine and Biology: Innovations in Big Data (1st ed.). Springer. (Download).
• Obeid, I., Picone, J., & Selesnick, I. (Eds.). (2022). Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology (1st ed.). Springer. (Download).
• Obeid, I., Selesnick, I., & Picone, J. (Eds.). (2021). Biomedical Signal Processing: Innovation and Applications (1st ed.). Springer. (Download).
• Obeid, I., Selesnick, I., & Picone, J. (Eds.). (2020). Signal Processing in Medicine and Biology: Emerging Trends in Research and Applications (1st ed.). Springer. (Download).

Book Sections:

• Thundiyil, S. C., & Picone, J. (2025). Time Series Analysis from Classical Methods to Transformer-Based Approaches: A Review. In A. Ahmed & J. Picone, (Eds.), Signal Processing in Medicine and Biology: Applications of Artificial Intelligence in Medicine and Biology (1st ed., pp. 1-56). (Download).
• Shah, V., Golmohammadi, M., Obeid, I., & Picone, J. (2021). Objective Evaluation Metrics for Automatic Classification of EEG Events. In I. Obeid, I. Selesnick, & J. Picone (Eds.), Biomedical Signal Processing: Innovation and Applications (1st ed., pp. 223–256). (Download).
• Golmohammadi, M., Shah, V., Obeid, I., & Picone, J. (2020). Deep Learning Approaches for Automatic Seizure Detection from Scalp Electroencephalograms. In I. Obeid, I. Selesnick, & J. Picone (Eds.), Signal Processing in Medicine and Biology: Emerging Trends in Research and Applications (1st ed., pp. 233–274). (Download).
• Shawki, N., Shadhin, M. G. M., Elseify, T., Jakielaszek, L., Farkas, T., Persidsky, Y., Jhala, N., Obeid, I., & Picone, J. (2020). The Temple University Digital Pathology Corpus. In I. Obeid, I. Selesnick & J. Picone (Eds.), Signal Processing in Medicine and Biology: Emerging Trends in Research and Applications (1st ed., pp. 67–104). (Download).
• Jungreis, D., Capp, N., Golmohammadi, M., & Picone, J. W. (2019). Predicting Endogenous Bank Health from FDIC Statistics on Depository Institutions Using Deep Learning. In K. Arai, R. Bhatia, & S. Kapoor (Eds.), Intelligent Computing (1st ed., pp. 563–572). Springer International Publishing. (Download).
• Obeid, I., & Picone, J. (2018). Machine Learning Approaches to Automatic Interpretation of EEGs. In E. Sejdik & T. Falk (Eds.), Signal Processing and Machine Learning for Biomedical Big Data (1st ed., p. 70). Boca Raton, Florida, USA: CRC Press. (Download).
• Obeid, I., & Picone, J. (2016). The Temple University Hospital EEG Data Corpus. In Augmentation of Brain Function: Facts, Fiction and Controversy. Volume I: Brain-Machine Interfaces (1st ed., pp. 394–398). Lausanne, Switzerland: Frontiers Media S.A. (Download).
• Picone, J., Ganapathiraju, A. and Hamaker, J. (2007). Applications of Kernel Theory to Speech Recognition. In G. Camps-Valls, J. L. Rojo-Alvarez and M. Martinez-Ramon (Eds.), Kernel Methods in Bioengineering, Communications and Image Processing (1st ed., pp. 224-245). Hershey: Idea Group Inc. Global. (Download).

Journals (Refereed):

• Cataldo, A., Criscuolo, S., De Benedetto, E., Masciullo, A., Pesola, M., & Picone, J. (2024). EEG Complexity-based Algorithm Using Multi-Scale Fuzzy Entropy for Detecting Alzheimer’s Disease. Measurement, 225(114040), 19. (Download).
• Roy, S., Kiral-Kornek, I., Mirmomeni, M., Mummert, T., Braz, A., Tsai, J., Tang, J., Asif, U., Schaffter, T., Ahsen, M. E., Iwamori, T., Yanagisawa, H., Poonawala, H., Madan, P., Qin, Y., Picone, J., Obeid, I., De Assis Marques, B., Maetschke, Khalaf, R., Rosen-Zvi, M., Stolovitzky, G., & Harrer, S. (2021). Evaluation of Artificial Intelligence Systems for Assisting Neurologists With Fast and Accurate Annotations of Scalp Electroencephalography Data, EBioMedicine, 1–11. (Download).
• Islam, M. S., Shah, V., Gidde, S., Hutapea, P., Song, S. H., Picone, J., & Kim, A. (2020). A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System. IEEE Transactions on Biomedical Engineering, 67(12), 3521–3530. (Download).
• Golmohammadi, M., Harati, A., Lopez, S., Obeid, I., & Picone, J. (2019). Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures. Frontiers in Human Neuroscience, 13, 76. (Download).
• Shah, V., von Weltin, E., Lopez, S., McHugh, J. R., Veloso, L., Golmohammadi, M., Obeid, I., & Picone, J. (2018). The Temple University Hospital Seizure Detection Corpus. Frontiers in Neuroinformatics, 12, 1-6. (Download).
• Saleheen, F., Wang, Z., Picone, J., Butz, B., & Won, C.-H. (2018). Efficacy of a Virtual Teaching Assistant in an Open Laboratory Environment for Electric Circuits. Advances in Engineering Education, 6(3), 1–27. (Download).
• Obeid, I. and Picone, J. (2016). The Temple University Hospital EEG Data Corpus. Frontiers in Neuroscience, Section Neural Technology, 10, 1-8. (Download).
• Harati, A. and Picone, J. (2016). A Doubly Hierarchical Dirichlet Process Hidden Markov Model with a Non-Ergodic Structure. IEEE/ACM Transactions on Audio, Speech and Language Processing, 24(1), 174-184. (Download).
• Sahu, A., Saleheen, F., Oleksyuk, V., McGoverin, C., Pleshko, N., Harati, A., Picone, J. and Won, C.-H. (2014). Characterization of Mammary Tumors Using Noninvasive Tactile and Hyperspectral Imaging. IEEE Sensors Journal, 14(10), 3337-3344. (Download).
• Srinivasan, S., Ma, T., Lazarou, G. and Picone, J. (2014). A Nonlinear Autoregressive Model for Speaker Verification. International Journal of Speech Technology, 17(1), 17-25. (Download).
• Ma, T., Srinivasan, S., Lazarou, G. and Picone, J. (2014). Continuous Speech Recognition Using Linear Dynamic Models. International Journal of Speech Technology, 17(1), 11-16. (Download).
• Harati, A. and Picone, J. (2014). Predicting Search Term Reliability for Spoken Term Detection Systems. International Journal of Speech Technology, 17(1), 1-9. (Download).
• Parker, D., Picone, J., Harati, A., Lu, S., Jenkyns, M. and Polgreen, P. (2013). Detecting paroxysmal coughing from pertussis cases using voice recognition technology. PLoS ONE, 8(12), e82971. Download).
• Crocker, M., Lazarou, G., Baca, J. and Picone, J. (2009). A Bandwidth Determination Method for Ipv6-Based Networks. International Journal of Computers and Applications, 31(2), 109-118. (Download).
• Lazarou, G., Baca, J., Frost, V. and Evans, J. (2009). Describing Network Traffic Using the Index of Variability. IEEE/ACM Transactions on Networking, 17(5), 1672-1683. (Download).
• Zheng, D. and Lazarou, G. (2009). A Comprehensive Stochastic Model for TCP Latency and Throughput. International Journal of Modelling and Simulation, 29(2), 107-120. (Download).
• Selvaraj, M., Lazarou, G. and Hu, R. (2008). Simultaneous and proportional bandwidth, delay and loss differentiation. International Journal of Computers and Applications, 30(2), 105-116. (Download).
• Greeley, H., Berg, J., Friets, E., Wilson, J., Greenough, G., Picone, J. , Whitmore, J., & Nesthus, T. (2007). Fatigue estimation using voice analysis. Behavior Research Methods, 39(3), 610-619. (Download).
• Lazarou, G. and Frost, V. (2007). Variance-Time Curve for Packet Streams Generated by Exponentially Distributed ON/OFF Sources. IEEE Communications Letters, 11(6), 552-554. (Download).
• Lazarou, G., Li, J. and Picone, J. (2007). A Cluster-Based Power- Efficient MAC Scheme for Sensor Networks. Ad Hoc Networks, 5(7), 1017-1030. (Download).
• Crocker, M., Baranski, J. and Lazarou, G. (2006). Fault-Tolerant Reconfigurable Ethernet-Based IP Network Proxy. International Journal of Computers and Applications, 28(3), 270-277. (Download).
• Baca, J. and Picone, J. (2005). Effects of Displayless Navigational Interfaces on User Prosodics. Speech Communication, 45(2), 187-202. (Download).
• Xia, X., Lazarou, G. and Butler, T. (2005). Automatic scaling range selection for long-range dependent network traffic. IEEE Communications Letters, 9(10), 954-956. (Download).
• Ganapathiraju, A., Hamaker, J. and Picone, J. (2004). Applications of Support Vector Machines to Speech Recognition. IEEE Transactions on Signal Processing, 52(8), 2348-2355. (Download).
• Ganapathiraju, A., Hamaker, J., Ordowski, M., Doddington, G. and Picone, J. (2001). Syllable-based large vocabulary continuous speech recognition. IEEE Transactions on Speech and Audio Processing, 9(4), 358-366. (Download).
• Deshmukh, N., Ganapathiraju, A. and Picone, J. (1999). Hierarchical search for large-vocabulary conversational speech recognition: working toward a solution to the decoding problem. IEEE Signal Processing Magazine, 16(5), 84-107. (Download).
• Picone, J., Staples, T., Kondo, K. and Arai, N. (1999). Kanji-to- Hiragana conversion based on a length-constrained n-gram analysis. IEEE Transactions on Speech and Audio Processing, 7(6), 685-696. (Download).
• Rudis, V., Thill, R., Gramann, J., Picone, J., Kalidindi, N. and Tappe, P. (1999). Understory Structure by Season Following Uneven-aged Reproduction Cutting: a Comparison of Selected Measures Two and Six Years after Treatment, Forest Ecology and Management. Forest Ecology and Management, 114(2-3), 309-320. (Download).
• Lazarou, G., Frost, V., Evans, J. and Nielaus, D. (1998). Simulation and Measurement of TCP/IP over ATM Wide Area Networks. IEICE Transactions on Communications, E81-B(2), 307-314. (Download).
• DaSilva, L., Evans, J., Niehaus, D., Frost, V., Jonkman, R. and Lazarou, G. Y. (1997). ATM WAN performance tools, experiments and results. IEEE Communications Magazine, 35(8), 118-125. (Download).
• Picone, J., Ebel, W. and Deshmukh, N. (1995). Automated Speech Understanding: The Next Generation. Digital Signal Processing Technology, CR57, 101-114. (Download).
• Picone, J. (1993). Signal modeling techniques in speech recognition. Proceedings of the IEEE, 81(9), 1215-1247. (Download).
• Wheatley, B. and Picone, J. (1991). Voice Across America: Toward Robust Speaker Independent Speech Recognition For Telecommunications Applications. Digital Signal Processing: A Review Journal, 1(2),45-64. (Download).
• Picone, J. (1990). Continuous speech recognition using hidden Markov models. IEEE ASSP Magazine, 7(3), 26-41. (Download).
• Picone, J. (1990). Duration in context clustering for speech recognition. Speech Communication, 9(2), 119-128. (Download).
• Picone, J., Doddington, G. and Pallett, D. (1990). Phone-mediated word alignment for speech recognition evaluation. IEEE Transactions on Acoustics, Speech and Signal Processing, 38(3), 559-562. (Download).
• Sukkar, R., LoCicero, J. and Picone, J. (1989). Decomposition of the LPC excitation using the zinc basis functions. IEEE Transactions on Acoustics, Speech and Signal Processing, 37(9), 1329-1341. (Download).
• Picone, J., Prezas, D., Hartwell, W. and LoCicero, J. (1988). Spectrum estimation using an analytic signal representation. Signal Processing, 15(2), 169-182. (Download).
• Sukkar, R., LoCicero, J. and Picone, J. (1988). Design and implementation of a robust pitch detector based on a parallel processing technique. IEEE Journal on Selected Areas in Communications, SAC-6(2), 441-451. (Download).
• Picone, J., Goudie-Marshall, K., Doddington, G. and Fisher, W. (1986). Automatic text alignment for speech system evaluation. IEEE Transactions on Acoustics, Speech and Signal Processing, ASSP-34 (4), 780-784. (Download).
• Picone, J., Prezas, D., Hartwell, W. and LoCicero, J. (1986). Joint estimation of the LPC parameters and the multi-pulse excitation. Speech Communication, 5(3), 253-260. (Download).
• Picone, J., Prezas, D., Hartwell, W. and LoCicero, J. (1986). The stepdown procedure for complex predictor coefficients. IEEE Transactions on Acoustics, Speech and Signal Processing, ASSP-34 (4), 1010-1011. (Download).
• Picone, J. and LoCicero, J. (1982). An Application of the Barrett- Lampard Expansion to Obtain the Slope Characteristics of a Speech Signal. IEEE Transactions on Communications, 30(5), 1259-1262. (Download).

Journals (Miscellaneous):

• Mell, J. and Fitch, K. (2016, March 17). Science Center's Start-Up Accelerator Focuses on "Long Horizon" Technologies. Science Center News, pp. 1-2. Philadelphia, Pennsylvania, USA. (Download).
• Moretz, P. (2015, February 2). Grant will help develop more powerful disinfectants. Temple University News, p. 2. Philadelphia, Pennsylvania, USA. (Download).
• Beans, B. (2014, May 1). Software to Interpret EEGs. College of Engineering Alumni Newsletter. p. 1, Philadelphia, Pennsylvania, USA. (Download).
• Baum, S. (2013, December 3). Software to interpret EEG for neurological disorders gets proof-of-concept funding. MedCity News, p. 2. Philadelphia, Pennsylvania, USA. (Download).
• George, J. (2013, December 3). Science Center program awards $600K to four university researchers. Philadelphia Business Journal, p. 2. Philadelphia, Pennsylvania, USA. (Download).
• Moretz, P. (2013, December 3). Drexel, Temple, Rutgers get $600k from Science Center to support research. Temple University News, p. 2. Philadelphia, Pennsylvania, USA. (Download).
• Reyes, J. (2013, December 3). Drexel, Temple, Rutgers get $600k from Science Center to support research. Technically Philly, p. 2. Philadelphia, Pennsylvania, USA. (Download).
• Lazarou, G. and Picone, J. (2005). MSU testing system to plot bus runs via computers, cell phones. Research Windows - The Mississippi State University Research Journal , 1-3. (Download).
• Lazarou, G. and Picone, J. (2005). Bus-tracking System. Inside ITS, 15(7), 11. (Download).
• Picone, J. (2003). Research to the Rescue. Research Windows - The Mississippi State University Research Journal , 10-17. (Download).
• Duncan, R. (2001). The Quality of Requirements in Extreme Programming. Crosstalk: The Journal of Defense Software Engineering, 19-21. (Download).
• Picone, J. (1999). From the Guest Editor. IEEE Signal Processing Magazine, 16(5), 63-63. (Download).
• Picone, J., Hamaker, J., Brown, R., Hansen, J. and Cole, R. (1999). The DSP Learning environment - modern DSP education: The Story of Three Greek Philosophers. IEEE Signal Processing Magazine, 16(5), 48-56. (Download).
• Picone, J. (1995). Curriculum Reform In University Undergraduate Education. IEEE Signal Processing Magazine, 12(6), 4-10. (Download).
• Picone, J. (1992). Next Generation Voice Recognition Will Be Customer Programmable. Asahi Shimbun. (Download).
• Picone, J. and Wheatley, B. (1991). Voice Across America: A Step Towards Automatic Telephone Transactions. Voice Processing Magazine, 46- 47. (Download).
• Picone, J., Wheatley, B. and Lewis, R. (1991). The Hand-Held Voice- Controlled Terminal: Medical Information Interface of the Future. Computers in Healthcare Magazine, 12(8), 40-47. (Download).
• Naik, J. and Picone, J. (1985). Meeting Summary: The First Annual Dallas Chapter Workshop on Signal Processing Technology. IEEE ASSP Magazine, 2(3), 26. (Download).
• Picone, J. (1985). Acoustic waveguides applications to oceanic science. Proceedings of the IEEE, 73(11), 1694. (Download).
• Picone, J. (1984). Acoustic waveguides applications to oceanic science. IEEE Transactions on Acoustics, Speech and Signal Processing, 32(6), 1258. (Download).
• Picone, J. (1984). Book reviews: Acoustic waveguides applications to oceanic science. IEEE ASSP Magazine, 1(4), 23. (Download).

Conferences (Proceedings):

• Alexandrov, D., & Picone, J. (2024). The Impact of ECG Channel Reduction on Multi-Label Cardiac Diagnosis. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-6). Philadelphia, Pennsylvania, USA. (Download).
• Khalkhali, V., Shawki, N., Shah, V., Golmohammadi, M., Obeid, I., & Picone, J. (2021). Low Latency Real-Time Seizure Detection Using Transfer Deep Learning. In I. Obeid, I. Selesnick, & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–7). Philadelphia, Pennsylvania, USA. (Download).
• Shawki, N., Rodriguez Nunez, R., Obeid, I., & Picone, J. (2021). Automating Hyperparameter Optimization for Deep Learning Applications. In I. Obeid, I. Selesnick, & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–7). Philadelphia, Pennsylvania, USA. (Download).
• Shah, V., Obeid, I., Picone, J., Ekladious, G., Iskander, R., and Roy, Y. (2020). Validation of Temporal Scoring Metrics for Automatic Seizure Detection. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–5). Philadelphia, Pennsylvania, USA. (Download).
• Jungreis, D., Capp, N., Golmohammadi, M., & Picone, J. (2019). Predicting Endogenous Bank Health from FDIC Statistics on Depository Institutions Using Deep Learning. In K. Arai, R. Bhatia, and S. Kappor (Eds.), Proceedings of the Computing Conference (pp. 1–9). London, UK (Download).
• Houser, D., Golmohammadi, M. M., Anstotz, R., Campbell, C., Obeid, I., Picone, J., Farkas, T., Persidsky, Y. and Jhala, N. (2018). The Temple University Hospital Digital Pathology Corpus. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–7). Philadelphia, Pennsylvania, USA. (Download).
• Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I., & Picone, J. (2018). Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. Proceedings of the International Conference on Machine Learning and Applications (ICMLA) (pp. 1–6). Orlando, Florida, USA. (Download).
• Shah, V., Golmohammadi, M., Ziyabari, S., von Weltin, E., Obeid, I., and Picone, J. (2017). Optimizing Channel Selection for Seizure Detection. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-5). Philadelphia, Pennsylvania, USA: IEEE. (Download).
• Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I. and Picone, J. (2017). Gated Recurrent Networks for Seizure Detection. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-5). Philadelphia, Pennsylvania, USA: IEEE. (Download).
• von Weltin, E., Ahsan, T., Shah, V., Jamshed, D., Golmohammadi, M., Obeid, I. and Picone, J. (2017). Electroencephalographic Slowing: A Primary Source of Error in Automatic Seizure Detection. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-5). Philadelphia, Pennsylvania, USA: IEEE. (Download).
• Lopez, S., Gross, A., Yang, S., Golmohammadi, M., Obeid, I. and Picone, J. (2016). An Analysis of Two Common Reference Points for EEGs. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-4). Philadelphia, Pennsylvania, USA. (Download).
• Yang, S., Lopez, S., Golmohammadi, M., Obeid, I. and Picone, J. (2016). Semi-automated Annotation of Signal Events in Clinical EEG Data. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-5). Philadelphia, Pennsylvania, USA. (Download).
• Torbati, A. H. H. N. and Picone, J. (2016). A Nonparametric Bayesian Approach for Automatic Discovery of a Lexicon and Acoustic Units. Proceedings of the IEEE Spoken Language Technology Workshop (pp. 71-75). (Download).
• Torbati, A. H. H. N. and Picone, J. (2016). A Nonparametric Bayesian Approach for Spoken Term Detection by Example Query. In Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH) (pp. 928-932). San Francisco, California, USA. (Download).
• Saleheen, F., Wang, Z., Moser, W., Oleksyuk, V., Picone, J. and Won, C.-H. (2016). Effectiveness of a Virtual Open Laboratory Teaching Assistant for Circuits Laboratory. Proceedings of the ASEE Annual Conference and Exposition (pp. 1-12). New Orleans, Louisiana, USA. (Download).
• Ward, C., Obeid, I. and Picone, J. (2016). Applications of UBMs and I-Vectors in EEG Subject Verification. Proceedings of the 38th Annual International Conference of the Engineering in Medicine and Biology Conference (p. 4). Orlando, Florida, USA. (Download).
• Lopez, S., Suarez, G., Jungreis, D., Obeid, I. and Picone, J. (2015). Automated Identification of Abnormal EEGs. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-4). Philadelphia, Pennsylvania, USA. (Download).
• Harati, A., Golmohammadi, M., Lopez, S., Obeid, I. and Picone, J. (2015). Improved EEG Event Classification Using Differential Energy. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-4). Philadelphia, Pennsylvania, USA. (Download).
• Saleheen, F., Giorgi, S., Smith, Z., Picone, J., & Won, C.-H. (2015). Design and Evaluation of a Web-based Virtual Open Laboratory Teaching Assistant (VOLTA) for Circuits Laboratories. Presented at the ASEE Annual Conference and Exposition. Seattle, Washington, USA. (Download).
• Saleheen, F., Giorgi, S., Smith, Z., Picone, J. and Won, C.-H. (2015). Virtual Teaching Assistant for Electrical Engineering Science: Initial Study. Proceedings of the Mid-Atlantic ASEE Conference (p. TBD). Villanova, Pennsylvania, USA. (Download).
• Harati, A., Lopez, S., Obeid, I., Jacobson, M., Tobochnik, S. and Picone, J. (2014). THE TUH EEG CORPUS: A Big Data Resource for Automated EEG Interpretation. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-5). Philadelphia, Pennsylvania, USA. (Download).
• Harati Nejad Torbati, A. H., Picone, J. and Sobel, M. (2014). A Left-to-Right HDP-HMM with HDPM Emissions. Proceedings of the Conference on Information Sciences and Systems (pp. 1-6). Princeton, New Jersey, USA. (Download).
• Harati Nejad Torbati, A. H., Picone, J. and Sobel, M. (2014). A Left-to-Right HDP-HMM with HDPM Emissions. Proceedings of the Conference on Information Sciences and Systems (pp. 1-6). Las Vegas, Nevada, USA. (Download).
• Steinberg, J., Harati, A. and Picone, J. (2013). A Comparative Analysis of Bayesian Nonparametric Inference Algorithms for Acoustic Modeling in Speech Recognition. Proceedings of International Joint Conferences on Computer, Information, Systems Sciences and Engineering (pp. 1-5). Bridgeport, Connecticut, USA: Springer- Verlag. (Download).
• Harati, A., Choi, S. I., Tabrizi, M., Obeid, I., Jacobson, M. and Picone, J. (2013). The Temple University Hospital EEG Corpus. Proceedings of the IEEE Global Conference on Signal and Information Processing. (pp. 29-32). Austin, Texas, USA. (Download).
• Obeid, I. and Picone, J. (2013). Accelerating the Rate of Technology Development in Bioengineering Through a Common Evaluation Paradigm. Proceedings of the IEEE EMBS Neural Engineering Conference. (pp.TBD). San Diego, California, USA. (Download).
• Harati, A., Picone, J. and Sobel, M. (2013). Speech Segmentation Using Hierarchical Dirichlet Processes. Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH) (pp. 637-641). Lyon, France. (Download).
• Lu, S. and Picone, J. (2013). Fingerspelling Gesture Recognition Using A Two-Level Hidden Markov Model. Proceedings of the International Conference on Image Processing, Computer Vision and Pattern Recognition (ICPV) (pp. 538-543). Las Vegas, Nevada, USA. (Download).
• Obeid, I. and Picone, J. (2013). Bringing Big Data to Neural Interfaces. Proceedings of the International Brain-Computer Interface Meeting (Paper ID: 180). Pacific Grove, California, USA. (Download).
• Harati, A. and Picone, J. (2013). Assessing Search Term Strength in Spoken Term Detection. Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) (pp. 114-117). San Diego, California, USA. (Download).
• Harati, A., Picone, J. and Sobel, M. (2012). Applications of Dirichlet Process Mixtures to Speaker Adaptation. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4321-4324). Kyoto, Japan. (Download).
• Ma, T. and Deisher, M. (2010). Novel CI-Backoff Scheme for Real-time Embedded Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1614-1617). Dallas, Texas, USA. (Download).
• Srinivasan, S., Ma, T., May, D., Lazarou, G. and Picone, J. (2009). Nonlinear Statistical Modeling of Speech. Proceedings of the International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2009) (pp. 429-436). Oxford, Mississippi, USA. (Download).
• Srinivasan, S., Ma, T., May, D., Lazarou, G. and Picone, J. (2008). Nonlinear Mixture Autoregressive Hidden Markov Models For Speech Recognition. Proceedings of the International Conference on Spoken Language Processing (pp. 960-963). Brisbane, Australia. (Download).
• Harper, M., Acero, A., Bangalore, S., Carbonell, J., Cohen, J., Cuthill, B., Espy-Wilson, C., Fellbaum, C., Garofolo, J., Lee, C., Lester, J., McCallum, A., Morgan, N., Picheny, M., Picone, J., Ramshaw, L., Reynar, J., Shemtov, H., & Voss, C. (2007). Report on NSF-Sponsored Human Language Technology Workshop on Industrial Centers. Proceedings of the Machine Translation Summit XI (pp. 239-246). Copenhagen, Denmark. (Download).
• Holland, W., Baca, J., Duncan, D. and Picone, J. (2006). Language Model Grammar Conversion. Proceedings of the International Conference on Internet Computing and Conference on Computer Games Development (pp. 87-91). Las Vegas, Nevada, USA. (Download).
• Holland, W., Baca, J., Duncan, D. and Picone, J. (2006). Language Model Grammar Conversion. Proceedings of the Parallel and Distributed Processing Techniques and Applications. Las Vegas, Nevada, USA. (Download).
• Greeley, H., Berg, J., Friets, E., Wilson, J., Raghavan, S. and Picone, J. (2006). Detecting Fatigue From Voice Using Speech Recognition . Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (pp. 567-571). Vancouver, Canada. (Download).
• Holland, W., May, D., Baca, J., Lazarou, G. and Picone, J. (2006). A Unified Language Model Architecture for Web-based Speech Recognition Grammars. IEEE International Symposium on Signal Processing and Information Technology (pp. 87-91). Vancouver, Canada. (Download).
• Liu, M., Stanley, T., Baca, J. and Picone, J. (2006). Robust Architecture for Human Language Technology. Proceedings of IEEE Southeastcon (pp. 196-199). Memphis, Tennessee, USA. (Download).
• Patil, S., Srinivasan, S., Prasad, S., Irwin, R., Lazarou, G. and Picone, J. (2006). Sequential State-Space Filters for Speech Enhancement. Proceedings of IEEE Southeastcon (pp. 240-243). Memphis, Tennessee, USA. (Download).
• Prasad, S., Srinivasan, S., Pannuri, M., Lazarou, G. and Picone, J. (2006). Nonlinear Dynamical Invariants for Speech Recognition. Proceedings of the International Conference on Spoken Language Processing (pp. 2518-2521). Pittsburgh, Pennsylvania, USA. (Download).
• Raghavan, S., Lazarou, G. and Picone, J. (2006). Speaker Verification Using Support Vector Machines. Proceedings of IEEE Southeastcon (pp. 188-191). Memphis, Tennessee, USA. (Download).
• Srinivasan, S., Prasad, S., Patil, S., Lazarou, G. and Picone, J. (2006). Estimation of Lyapunov Spectra From a Time Series. Proceedings of IEEE Southeastcon (pp. 192-195). Memphis, Tennessee, USA. (Download).
• Stanley, T., Baca, J., Elliot, M. and Picone, J. (2006). Enhancements to the DARPA Communicator Architecture. Proceedings of the Parallel and Distributed Processing Techniques and Applications (pp. 139-143). Las Vegas, Nevada, USA. (Download).
• Stanley, T., Baca, J., Liu, M. and Picone, J. (2006). A Distributed Prototyping Environment for Human Language Technology. Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (pp. 594-599). Vancouver, Canada. (Download).
• Brocato, J. and Picone, J. (2005). Writing While Designing: Combining ECE Senior Design with an Existing Technical Writing Course. American Society for Engineering Education - Southeastern Section. Chattanooga, Tennessee, USA. (Download).
• Gao, Wenzhong and Porandla, S. (2005). Design Optimization of a Parallel Hybrid Electric Powertrain. Proceedings of the IEEE Vehicle Power and Propulsion Conference (pp. 6-12). Chicago, Illinois, USA. (Download).
• Gao, WenZhong, Porandla, S., Musunuri, S., Mathews, J., Picone, J., Neema, S. and Gray, J. (2005). Hybrid Powertrain Design Using a Domain-Specific Modeling Environment. Proceedings of the IEEE Vehicle Power and Propulsion Conference (pp. 530-535). Chicago, Illinois, USA. (Download).
• Li, J. and Lazarou, G. (2004). A Bit-Map-Assisted Energy Efficient MAC Scheme for Wireless Sensor Networks. Proceedings of the International Symposium on Information Processing in Sensor Networks (pp. 55-60). Berkeley, California, USA. (Download).
• Li, J. and Lazarou, G. (2004). Modeling the Energy Consumption of MAC Schemes in Wireless Cluster-Based Sensor Networks. Proceedings of the IASTED International Conference on Modeling and Simulation (pp. 313-318). Marina del Rey, California, USA. (Download).
• Alphonso, I. and Picone, J. (2004). Network Training For Continuous Speech Recognition. Proceedings of the European Signal Processing Conference (pp. 553-556). Vienna, Austria. (Download).
• Baranski, J., Crocker, M. and Lazarou, G. (2004). Dynamic Routing Protocol Performance in a Fault-Tolerant Ethernet-based IP Network. Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics (pp. 1-5). Orlando, Florida, USA. (Download).
• Gao, H., Duncan, R., Baca, J. and Picone, J. (2004). Signal Processing Tools for Speech Recognition. Proceedings of the IASTED International Conference on Communications, Internet and Information Technology (pp. 543-547). St. Thomas, US Virgin Islands, USA. (Download).
• Imbiriba, T., Klautau, A., Parihar, N., Raghavan, S. and Picone, J. (2004). GMM And Kernel-Based Speaker Recognition with the ISIP Toolkit. Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (pp. 371-380). Sao Luis, Brazil. (Download).
• Jenkins, W., Lewis, R., Lazarou, G., Picone, J. and Rowland, Z. (2004). Real-time Vehicle Performance Monitoring Using Wireless Networking. Proceedings of the IASTED International Conference on Communications, Internet and Information Technology (pp. 375-380) . St. Thomas, US Virgin Islands, USA. (Download).
• Parihar, N., Picone, J., Pearce, D. and Hirsch, H.-G. (2004). Performance Analysis of the Aurora Large Vocabulary Baseline System. Proceedings of the European Signal Processing Conference (pp. 553-556). Vienna, Austria. (Download).
• Sundaram, R. and Picone, J. (2004). Effects of Transcription Errors on Supervised Learning in Speech Recognition.
• Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 169-172). Montreal, Quebec, Canada. (Download).
• Zheng, D., Lazarou, G. and Hu, R. (2003). A Comprehensive TCP Stochastic Model. Proceedings of the IASTED International Conference on Communications, Internet and Information Technology (pp. 291-296). Phoenix, Arizona, USA. (Download).
• Zheng, D., Lazarou, G. and Hu, R. (2003). A Stochastic Model for Short-lived TCP Flows. Proceedings of the IEEE International Conference on Communications (pp. 291-296). Anchorage, Alaska, USA. (Download).
• Baca, J., Zheng, F., Gao, H. and Picone, J. (2003). Dialog Systems for Automotive Environments. Proceedings of the European Conference on Speech Communication and Technology (pp. 1929-1932). Geneva, Switzerland. (Download).
• Baranski, J., Crocker, M. and Lazarou, G. (2003). Fault-Tolerant Reconfigurable Ethernet-Based IP Network Proxy. Proceedings of the IASTED International Conference on Communications, Internet and Information Technology (pp. 214-220). Phoenix, Arizona, USA. (Download).
• Ganapathiraju, A., Hamaker, J. and Picone, J. (2003). Advances in Hybrid SVM/HMM Speech Recognition. Proceedings of the GSPx / International Signal Processing Conference Dallas, Texas, USA. (Download).
• Hu, R., Babbitt, J., Abu-Amara, H., Rosenburg, C. and Lazarou, G. (2003). Connectivity Planning and Call Admission Control in an On-board Cross-connect Based Multimedia Geo Satellite Network. Proceedings of the IEEE International Conference on Communications (pp. 422-427). Anchorage, Alaska, USA. (Download).
• Lazarou, G. and Xia, X. (2003). Internet Traffic Modeling Using the Index of Variability. Proceedings of the IASTED International Conference on Modeling and Simulation (pp. 31-37). Palm Springs, California, USA. (Download).
• Parihar, N. and Picone, J. (2003). An Analysis of the Aurora Large Vocabulary Evaluation. Proceedings of the European Conference on Speech Communication and Technology (pp. 337-340). Geneva, Switzerland. (Download).
• Selvaraj, M., Lazarou, G. and Hu, R. (2003). Proportional Bandwidth, Delay and Loss Differentiation. Proceedings of the IASTED International Conference on Communications, Internet and Information Technology (pp. 291-296). Phoenix, Arizona, USA. (Download).
• Hamaker, J., Picone, J. and Ganapathiraju, A. (2002). A Sparse Modeling Approach to Speech Recognition Based on Relevance Vector Machines. Proceedings of the International Conference of Spoken Language Processing (pp. 1001-1004). Denver, Colorado, USA. (Download).
• Harabagiu, S., Picone, J. and Moldovan, D. (2002). Voice Activated Question Answering. Proceedings of the International Conference on Computational Linguistics (pp. 1-7). Taipei, Taiwan. (Download).
• Huang, K. and Picone, J. (2002). Internet-Accessible Speech Recognition Technology. Proceedings of the IEEE Midwest Symposium on Circuits and Systems (p. III-73 - III-76). Tulsa, Oklahoma, USA. (Download).
• Duncan, R. and Picone, J. (2001). System combination for improved automatic generation of N-best proper nouns pronunciation. Proceedings of IEEE Southeastcon (pp. 208-212). Clemson, South Carolina, USA. (Download).
• Jelinek, B., Zheng, F., Parihar, N., Hamaker, J. and Picone, J. (2001). Generalized Hierarchical Search in the ISIP ASR System. Proceedings of the Asilomar Conference on Signals, Systems and Computers (pp. 1553-1556). Pacific Grove, California, USA. (Download).
• Ganapathiraju, A., Hamaker, J. and Picone, J. (2000). A Hybrid ASR System Using Support Vector Machines. Proceedings of the International Conference of Spoken Language Processing (pp. 504-506). Beijing, China. (Download).
• Ganapathiraju, A., Hamaker, J. and Picone, J. (2000). Hybrid HMM/SVM Architectures for Speech Recognition. Proceedings of the DoD Speech Transcription Workshop College Park, Maryland, USA. (Download).
• Byrne, W., Beyerlein, P., Huerta, J., Khudanpur, S., Marthi, B., Morgan, J., Peterek, N., Picone, J., Vergyri, D., & Wang, W. (2000). Towards language independent acoustic modeling. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 2, pp. 1029-1032). Istanbul, Turkey. (Download).
• Ganapathiraju, A. and Picone, J. (2000). Support Vector Machines For Automatic Data Cleanup. Proceedings of the International Conference of Spoken Language Processing (pp. 210-213). Beijing, China. (Download).
• Long, Z., Picone, J. and Rudis, V. (2000). The Optimization of Edge and Line Detectors for Forest Image Analysis. Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics (pp. 171-176). Orlando, Florida, USA. (Download).
• Sundaram, R., Ganapathiraju, A., Hamaker, J. and Picone, J. (2000). ISIP 2000 Conversational Speech Evaluation System. Proceedings of the DoD Speech Transcription Workshop College Park, Maryland, USA. (Download).
• Balakrishnama, S., Ganapathiraju, A. and Picone, J. (1999). Linear discriminant analysis for signal processing problems. Proceedings of IEEE Southeastcon (pp. 78-81). Lexington, Kentucky, USA. (Download).
• Beyerlein, P., Byrne, W., Huerta, J., Khudanpur, S., Marthi, B., Morgan, J., Peterek, N., Picone, J. & Wang, W. (1999). Towards Language Independent Acoustic Modeling. Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop Keystone, Colorado, USA. (Download).
• Deshmukh, N., Ganapathiraju, A., Hamaker, J., Picone, J. and Ordowski, M. (1999). A Public Domain Speech-to-Text System. Proceedings of the European Conference on Speech Communication and Technology (pp. 2127-2130). Budapest, Hungary. (Download).
• Doddington, G., Ganapathiraju, A., Picone, J. and Wu, Y. (1999). Adding Word Duration Information to Bigram Language Models. Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop Keystone, Colorado, USA. (Download).
• Duncan, R. and Picone, J. (1999). A Unix-based speech data collection platform. Proceedings of IEEE Southeastcon (pp. 29-31). Lexington, Kentucky, USA. (Download).
• Ganapathiraju, A., Deshmukh, N., Hamaker, J., Mantha, V., Wu, Y., Zhang, X., Zhao, J., & Picone, J. (1999). ISIP Public Domain LVCSR System. Proceedings of the DoD Speech Transcription Workshop Linthicum Heights, Maryland, USA. (Download).
• Mantha, V., Duncan, R., Wu, Y., Zhao, J., Ganapathiraju, A. and Picone, J. (1999). Implementation and analysis of speech recognition front-ends. Proceedings of IEEE Southeastcon (pp. 32-35). Lexington, Kentucky, USA. (Download).
• Picone, J., Pike, S., Reagan, R., Kamm, T., Bridle, J., Deng, L., Ma, J., Richards, H., & Schuster, M. (1999). Initial evaluation of hidden dynamic models on conversational speech. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 1, pp. 109 -112). Phoenix, Arizona, USA. (Download).
• Zhang, X., Ramani, V., Long, Z., Zeng, Y., Ganapathiraju, A. and Picone, J. (1999). Scenic beauty estimation using independent component analysis and support vector machines. Proceedings of IEEE Southeastcon (pp. 274-277). Lexington, Kentucky, USA. (Download).
• Zhao, J., Hamaker, J., Deshmukh, N., Ganapathiraju, A. and Picone, J. (1999). Fast search algorithms for continuous speech recognition. Proceedings of IEEE Southeastcon (pp. 36-39). Lexington, Kentucky, USA. (Download).
• Charalambos, C., Lazarou, G., Frost, V., Evans, J. and Jonkman, R. (1998). Experimental and simulation performance results of TCP/IP over high-speed ATM over ACTS. Proceedings of the IEEE International Conference on Communications (Vol. 1, pp. 72 -78). Atlanta, Georgia, USA. (Download).
• Deshmukh, N., Ganapathiraju, A., Gleeson, A., Hamaker, J. and Picone, J. (1998). Resegmentation of Switchboard. Proceedings of the International Conference on Spoken Language Processing (pp. 1543-1546). Sydney, Australia. (Download).
• Deshmukh, N., Ganapathiraju, A., Hamaker, J. and Picone, J. (1998). An Efficient Public Domain LVCSR Decoder. Proceedings of DARPA Broadcast News Transcription and Understanding Workshop. Linthicum Heights, Maryland, USA. (Download).
• Ganapathiraju, A., Hamaker, J. and Picone, J. (1998). Support Vector Machines for Speech Recognition. Proceedings of the International Conference on Spoken Language Processing (pp. 2923-2926). Sydney, Australia. (Download).
• Ganapathiraju, A., Hamaker, J., Skjellum, A. and Picone, J. (1998). Contemporary View of FFT Algorithms. Proceedings of the IASTED International Conference on Signal and Image Processing (pp. 130-133). Las Vegas, Nevada, USA. (Download).
• Hamaker, J., Deshmukh, N., Ganapathiraju, A. and Picone, J. (1998). Resegmentation and Transcription of the SWITCHBOARD Corpus. Proceedings of DARPA Broadcast News Transcription and Understanding Workshop. Linthicum Heights, Maryland, USA. (Download).
• Hamaker, J., Ganapathiraju, A. and Picone, J. (1998). Information Theoretic Approaches to Model Selection. Proceedings of the International Conference on Spoken Language Processing (pp. 2931-2934). Sydney, Australia. (Download).
• Hamaker, J., Ganapathiraju, A., Picone, J. and Godfrey, J. (1998). Advances in alphadigit recognition using syllables. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 1, pp. 421-424). Seattle, Washington, USA. (Download).
• Ngan, J., Ganapathiraju, A. and Picone, J. (1998). Improved Surname Pronunciations Using Decision Trees. Proceedings of the International Conference on Spoken Language Processing (pp. 3285-3288). Sydney, Australia. (Download).
• Shaffer, J., Hamaker, J. and Picone, J. (1998). Visualization of signal processing concepts. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 3, pp. 1853-1856). Seattle, Washington, USA. (Download).
• Balducci, M., Ganapathiraju, A., Hamaker, J., Picone, J., Choudary, A., and Skjellum, A. (1997). Benchmarking of FFT algorithms. Proceedings of IEEE Southeastcon (pp. 328-330). Blacksburg, Virginia, USA. (Download).
• DaSilva, L., Evans, J., Niehaus, D., Frost, V., Jonkman, R., Lee, B. O., and Lazarou, G. (1997). Performance experiences in a wide area ATM network. Proceedings of the IEEE International Conference on Communications (Vol. 3, pp. 1694 -1698). Montreal, Canada. (Download).
• Deshmukh, N., Ngan, J., Hamaker, J. and Picone, J. (1997). An advanced system to generate pronunciations of proper nouns. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 2, pp. 1467 -1470). Munich, Germany. (Download).
• Ganapathiraju, A. and Picone, J. (1997). Echo cancellation for evaluating speaker identification technology. Proceedings of IEEE Southeastcon (pp. 100-102). Blacksburg, Virginia, USA. (Download).
• Ganapathiraju, A., Goel, V., Picone, J., Corrada, A., Doddington, G., Kirchoff, K., Ordowski, M., & Wheatley, B. (1997). Syllable - A Promising Recognition Unit for LVCSR. Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (pp. 207-214). Santa Barbara, California. (Download).
• Godfrey, J., Ganapathiraju, A., Ramalingam, C. and Picone, J. (1997). Microsegment-based connected digit recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1755 -1758). Munich, Germany. (Download).
• Kalidindi, N., Le, A., Picone, J., Zheng, L., Yaqin, H. and Rudis, V. (1997). Scenic Beauty Estimation of Forestry Images. Proceedings of IEEE Southeastcon (pp. 337-339). Blacksburg, Virginia, USA. (Download).
• Ngan, J. and Picone, J. (1997). Issues in generating pronunciation dictionaries for voice interfaces to spatial databases. Proceedings of IEEE Southeastcon (pp. 97-99). Blacksburg, Virginia, USA. (Download).
• Deshmukh, N., Duncan, R., Ganapathiraju, A. and Picone, J. (1996). Benchmarking Human Performance for Continuous Speech Recognition. Proceedings of the International Conference on Spoken Language Processing (pp. 2486-2489). Philadelphia, Pennsylvania, USA. (Download).
• Deshmukh, N., Ganapathiraju, A., Duncan, R. and Picone, J. (1996). Human Speech Recognition Performance on the 1995 CSR Hub-3 Corpus. Proceedings of the ARPA Speech Recognition Workshop (pp. 129-134) . Harriman, New York, USA. (Download).
• Deshmukh, N., Weber, M. and Picone, J. (1996). Automated generation of N-best pronunciations of proper nouns. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 1, pp. 283-286). Atlanta, Georgia, USA: IEEE. (Download).
• Ganapathiraju, A., Webster, L., Trimble, J., Bush, K. and Kornman, P. (1996). Comparison of energy-based endpoint detectors for speech signal processing. Proceedings of IEEE Southeastcon (pp. 500-503). Tampa, Florida, USA. (Download).
• Lazarou, G., Frost, V., Evans, J. and Niehaus, D. (1996). Using measurements to validate simulation models of TCP/IP over high speed ATM wide area networks. Proceedings of the IEEE International Conference on Communications (Vol. 1, pp. 309 -314). Dallas, Texas, USA. (Download).
• Deshmukh, N. and Picone, J. (1995). Methodologies for language modeling and search in continuous speech recognition. Proceedings of IEEE Southeastcon (pp. 192-198). Raleigh, North Carolina, USA. (Download).
• Deshmukh, N., Picone, J. and Kao, Y.-H. (1995). Efficient search strategies in hierarchical pattern recognition systems. Proceedings of the Southeastern Symposium on System Theory (pp. 88-91). Starkville, Mississippi, USA. (Download).
• Ebel, W. and Picone, J. (1995). Human Speech Recognition Performance on the 1994 CSR Spoke 10 Corpus. Proceedings of the Spoken Language Systems Technology Workshop (pp. 53-59). Austin, Texas, USA. (Download).
• Muthusamy, Y., Holliman, E., Wheatley, B., Picone, J. and Godfrey, J. (1995). Voice across Hispanic America: a telephone speech corpus of American Spanish. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 1, pp. 85-88). Detroit, Michigan, USA. (Download).
• Picone, J. and Ostendorf, M. (1995). New Approaches to Stochastic Modeling of Speech. Proceedings of the IEEE ASR Workshop (pp. 27-35). Snowbird, Utah, USA. (Download).
• Kondo, K., Picone, J. and Wheatley, B. (1994). A comparative analysis of Japanese and English digit recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. I, pp. I/101-I/104). Adelaide, South Australia, Australia. (Download).
• Staples, T., Picone, J. and Arai, N. (1994). The Voice Across Japan Database-the Japanese Language Contribution to Polyphone. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. i, pp. 89-92 (vol. 1)). Adelaide, South Australia, Australia. (Download).
• Wheatley, B., Staples, T. and Picone, J. (1994). A Language-Portable Orthography Analysis System. Proceedings of the Speech Research Symposium XIV (pp. 126-128). Baltimore, Maryland, USA. (Download).
• Picone, J. (1993). Managing software complexity in signal processing research. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 3, p. III-41-III-44). Minneapolis, Minnesota, USA. (Download).
• Kondo, K., Picone, J. and Wheatley, B. (1992). A Comparative Analysis of Japanese and English Digit Recognition. Proceedings of the Spring Meeting of the Acoustical Society of Japan (pp. 129-130). Tokyo, Japan. (Download).
• Picone, J., Kondo, K. and Staples, T. (1992). Towards Robust Phonetic Recognition of Spoken Japanese. Proceedings of the Texas Instruments Japan Technical Meeting (pp. 55-56). Tokyo, Japan. (Download).
• Andrews, M., DeGroat, R. and Picone, J. (1990). A High Performance MUSIC Based Pitch Detector. Proceedings of the Asilomar Conference on Signals, Systems and Computers (Vol. 2, pp. 669-672). San Francisco, California, USA. (Download).
• Andrews, M., Picone, J. and DeGroat, R. (1990). Robust pitch determination via SVD based cepstral methods. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 253-256). Albuquerque, New Mexico, USA. (Download).
• Picone, J. (1990). The demographics of speaker independent digit recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 105-108). Albuquerque, New Mexico, USA. (Download).
• Andrews, M., DeGroat, R. and Picone, J. (1989). Robust cepstral based pitch determination. Proceedings of the Asilomar Conference on Signals, Systems and Computers (Vol. 2, pp. 744-748). Pacific Grove, California, USA. (Download).
• Hemphill, C. (1989). Chart Parsing of Stochastic Spoken Language Models. Proceedings of the DARPA Speech and Natural Language Workshop (pp. 250-255). Pittsburgh, Pennsylvania, USA. (Download
• Hemphill, C. and Picone, J. (1989). Speech recognition in a unification grammar framework. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 723-726). Glasgow, Scotland. (Download).
• Picone, J. (1989). On modeling duration in context in speech recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 421-424). Glasgow, Scotland. (Download).
• Picone, J. and Doddington, G. (1989). A phonetic vocoder. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 580-583). Glasgow, Scotland. (Download).
• Sukkar, R., LoCicero, J. and Picone, J. (1988). LPC excitation based on zinc function decomposition. Proceedings of the IEEE Global Communications Conference (pp. 285-289). Tampa, Florida, USA: IEEE. (Download).
• Sukkar, R., LoCicero, J. and Picone, J. (1988). LPC Coding of Speech Using a Novel Excitation Model. Proceedings of the Midwest Symposium on Circuits and Systems (pp. 920-923). St. Louis, Missouri, USA: University of Missouri-Rolla. (Download).
• Picone, J., Johnson, M. and Hartwell, W. (1988). Enhancing the performance of speech recognition with echo cancellation. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 529-532). New York, New York, USA. (Download).
• Bronson, E., Carlone, D., Kleijn, W., O-AoDell, K., Picone, J. and Thomson, D. (1987). Harmonic coding of speech at 4.8 kb/s. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2213-2216). Dallas, Texas, USA. (Download).
• Picone, J. and Doddington, G. (1987). Low rate speech coding using contour quantization. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1653-1656). Dallas, Texas, USA. (Download).
• Picone, J., Doddington, G. and Secrest, B. (1987). Robust pitch detection in a noisy telephone environment. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1442-1445). Dallas, Texas, USA. (Download).
• Picone, J., Prezas, D., Hartwell, W. and LoCicero, J. (1986). Multi- Pulse Linear Predictive Coding Using An Analytic Signal Representation. Proceedings of the IEEE Global Communications Conference (pp. 23.2.1-23.2.5). Houston, Texas, USA. (Download).
• Picone, J., Prezas, D., Hartwell, W. and LoCicero, J. (1986). Spectrum Estimation Using an Analytic Signal Representation. Proceedings of the ASSP Workshop on Spectrum Estimation (pp. 172-175). Boston, Massachusetts, USA. (Download).
• Picone, J. (1986). Tutorial: Recent Trends in Digital Speech Coding. Proceedings of the National Communications Forum (pp. 691-696.) Chicago, Illinois, USA. (Download). < /li>
• Prezas, D., Picone, J. and Thomson, D. (1986). Fast and accurate pitch detection using pattern recognition and adaptive time-domain analysis. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 109-112). Tokyo, Japan. (Download).
• Rajasekaran, P., Doddington, G. and Picone, J. (1986). Recognition of speech under stress and in noise. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 733-736). Tokyo, Japan. (Download).

Conferences (Presentations):

• Bagritsevich, M., Hackel, D., Obeid, I., & Picone, J. (2024). Annotation of the Fox Chase Cancer Center Digital Pathology Corpus. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1–4. (Download).
• Melles, A.-M., Paderewski, M., Minick, J., Oymann, R., Shah, V., Salazar, J., Obeid, I., & Picone, J. (2024). Annotation of Ambulatory EEGs. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1–4. (Download).
• Thundiyil, S. C., Shalamzari, S. S., Picone, J., & McKenzie, S. (2023). Transformers for Modeling Long-Term Dependencies in Time Series Data: A Review. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium, 1–4. (Download).
• Shalamzari, S. S., Bagritsevich, M., Melles, Anne-Mai, Obeid, I., Picone, J., Connolly, D., Wu, C., Brown, B., James, J., Gong, Y., & Wu, H. (2023). Big Data Resources for Digital Pathology. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium, 1–19. (Download).
• Thai, B., McNicholas, S., Shalamzari, S. S., Meng, P., & Picone, J. (2023). Towards a More Extensible Machine Learning Demonstration Tool. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium, 1–4. (Download).
• McNicholas, S., Bryant, A., McKenzie, S., Desai, M., & Picone, J. (2023). An Evaluation of SMILE on the TUSZ Corpus. In A. Ahmed & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–4). (Download).
• Cap, T., Kreitzer, A., Miranda, M., Vadimsky, D., & Picone, J. (2021). IMLD: A Python-Based Interactive Machine Learning Demonstration. In I. Obeid, I. Selesnick, & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–4). Philadelphia, Pennsylvania, USA. (Download).
• Buckwalter, G., Chhin, S., Rahman, S., Obeid, I., & Picone, J. (2021). Recent Advances in the TUH EEG Corpus: Improving the Interrater Agreement for Artifacts and Epileptiform Events. In I. Obeid, I. Selesnick, & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–3). Philadelphia, Pennsylvania, USA. (Download).
• Doshna, B., Wevodau, Z., Jhala, N., Akhtar, I., Obeid, I., & Picone, J. (2021). The Temple University Digital Pathology Corpus: The Breast Tissue Subset. In I. Obeid, I. Selesnick, & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–3). Philadelphia, Pennsylvania, USA. (Download).
• Rahman, S., Hamid, A., Ochal, D., Obeid, I., & Picone, J. (2020). Improving the Quality of the TUSZ Corpus. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–5). Philadelphia, Pennsylvania, USA. (Download).
• Hamid, A., Gagliano, K., Rahman, S., Tulin, N., Tchiong, V., Obeid, I., & Picone, J. (2020). The Temple University Artifact Corpus: An Annotated Corpus of EEG Artifacts. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–3). Philadelphia, Pennsylvania, USA. (Download).
• Shawki, N., Elseify, T., Cap, T., Shah, V., Obeid, I., & Picone, J. (2020). A Deep Learning-Based Real-time Seizure Detection System. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–4). Philadelphia, Pennsylvania, USA. (Download).
• Lin, R., Marquez, D., Jacobson, M., Castaldi, H., Buckman, S., Shah, V., & Picone, J. (2020). Accuracy of Automated Machine Learning Software in Identifying EEGs with Prolonged Seizures. Annual Meeting of the American Academy of Neurology (AAN), (p. P6.002). Philadelphia, Pennsylvania, USA. (Download).
• Kiral, I., Roy, S., Mummert, T., Braz, A., Tsay, J., Tang, J., Asif, U., Schaffter, T., Mehmet, E., Picone, J., Obeid, I., Marques, B., Maetschke, S., Khalaf, R., Rosen-Zvi, M., Stolovitzky, G., Mirmomeni, M., Harrer, S., Yanagisawa, H., Iwamori, T., Madan, P., Qin, Y., Ma, L., Ti, W., Liu, W., Mei, J., Hensley, S., Chandra, R., Hake, P., Henessy, R., Babaali, P., Yuenreed, G., Kather, R., Arcos-Diaz, D., Cherner, M. (2019). The Deep Learning Epilepsy Detection Challenge: Design, Implementation, and Test of a New Crowd-Sourced AI Challenge Ecosystem, in Challenges in Machine Learning Competitions for All (CiML) (pp. 1-3). Vancouver, Canada. (Download).
• Jean-Paul, S., Elseify, T., Obeid, I., & Picone, J. (2019). Issues in the Reproducibility of Deep Learning Results. I. Obeid & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-4). (Download).
• Rahman, S., Miranda, M., Obeid, I., & Picone, J. (2019). Software and Data Resources to Advance Machine Learning Research in Electroencephalography. I. Obeid & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-4). (Download).
• Hunt, I., Husain, S., Simons, J., Obeid, I., & Picone, J. (2019). Recent Advances in the Temple University Digital Pathology Corpus. I. Obeid & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-4). (Download).
• Islam, M. S., Song, S. H., Picone, J., and Kim, A. (2019). A Machine Learning Enabled Real-Time Direct Brain Deformation Sensing During Concussion. 2019 Biomedical Engineering Society Annual Meeting (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Campbell, C., Mecca, N., Duong, T., Obeid, I., & Picone, J. (2018). Expanding an HPC Cluster to Support the Computational Demands of Digital Pathology. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–2). Philadelphia, Pennsylvania, USA. (Download).
• Ferrell, S., von Weltin, E., Obeid, I., & Picone, J. (2018). Open Source Resources to Advance EEG Research. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–3). Philadelphia, Pennsylvania, USA. (Download).
• Capp, N., Campbell, C., Elseify, T., Obeid, I., & Picone, J. (2018). Optimizing EEG Visualization Through Remote Data Retrieval and Asynchronous Processing. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–2). Philadelphia, Pennsylvania, USA. (Download).
• Shah, V., Anstotz, R., Obeid, I., & Picone, J. (2018). Adapting an Automatic Speech Recognition System to Event Classification of Electroencephalograms. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–4). Philadelphia, Pennsylvania, USA. (Download).
• Picone, J., Obeid, I., & Harabagiu, S. (2018). Automated Cohort Retrieval from EEG Medical Records. 26th Conference on Intelligent Systems for Molecular Biology (p. 1). Chicago, Illinois, USA. (Download).
• Ziyabari, S., Obeid, I. and Picone, J. (2018). Curriculum Learning Based on Sample Selection Using Posterior Probabilities. 26th Conference on Intelligent Systems for Molecular Biology (p. 1). Chicago, Illinois, USA. (Download).
• Lopez, S., Obeid, I. and Picone, J. (2018). Automated Interpretation of Abnormal Adult Electroencephalograms. 26th Conference on Intelligent Systems for Molecular Biology (p. 1). Chicago, Illinois, USA. (Download).
• Golmohammadi, M., Obeid, I. and Picone, J. (2018). Deep Residual Learning for Automatic Seizure Detection. 26th Conference on Intelligent Systems for Molecular Biology (p. 1). Chicago, Illinois, USA. (Download).
• Veloso, L., McHugh, J. R., von Weltin, E., Obeid, I. and Picone, J. (2017). Big Data Resources for EEGs: Enabling Deep Learning Research. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). Philadelphia, Pennsylvania, USA: IEEE. (Download).
• Campbell, C., Mecca, N., Obeid, I. and Picone, J. (2017). The Neuronix HPC Cluster: Improving Cluster Management Using Free and Open Source Software Tools. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). Philadelphia, Pennsylvania, USA: IEEE. (Download).
• Capp, N., Krome, E., Obeid, I. and Picone, J. (2017). Facilitating the Annotation of Seizure Events Through An Extensible Visualization Tool. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Golmohammadi, M., Shah, V., Lopez, S., Ziyabari, S., Yang, S., Camaratta, J., Obeid, I. and Picone, J. (2017). The TUH EEG Seizure Corpus. American Clinical Neurophysiology Society (ACNS) Annual Meeting (p. 1). Phoenix, Arizona, USA: American Clinical Neurophysiology Society. (Download).
• Somaru, P., Obeid, I. and Picone, J. (2016). Low-Cost High-Performance Computing Via Consumer GPUs. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Thiess, M., Krome, E., Golmohammadi, M., Obeid, I. and Picone, J. (2016). Enhanced visualizations for improved real-time EEG monitoring. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). (Download).
• Golmohammadi, M., Ziyabari, S., Lopez, S., Krome, E., Thiess, M., Yang, S., Obeid, I. and Picone, J. (2016). EEG Event Detection Using Deep Learning. Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
• Obeid, I., Picone, J. and Harabagiu, S. (2016). Automatic Discovery and Processing of EEG Cohorts from Clinical Records. Big Data to Know ledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
• Picone, J., Obeid, I. and Harabagiu, S. (2016). Scalable EEG interpretation using Deep Learning and Schema Descriptors. Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
• Harabagiu, S., Goodwin, T., Maldonado, R. and Taylor, S. (2016). Active Deep Learning-Based Annotation of Electroencephalography Reports for Patient Cohort Identification. M. Dunn (Ed.), Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
• Harabagiu, S. and Goodwin, T. (2016). Deep Learning-Based Multi-Modal Indexing of Heterogeneous Clinical Data for Patient Cohort Retrieval. Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA. (Download).
• Harati, A., Golmohammadi, M., Jacobson, M., Lopez, S., Obeid, I., Picone, J. and Tobochnik, S. (2016). Automatic Interpretation of EEGs for Clinical Decision Support. American Clinical Neurophysiology Society (ACNS) Annual Meeting (p. 1). Orlando, Florida, USA. (Download).
• Guimaraes Moura, A., Lopez, S., Obeid, I. and Picone, J. (2015). A Comparison of Feature Extraction Methods for EEG Signals. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Trejo, D., Obeid, I. and Picone, J. (2015). Affordable Supercomputing Using Open Source Software. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Golmohammadi, M., Lopez, S., Obeid, I. and Picone, J. (2015). EEG Event Detection on the TUH EEG Corpus. Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA. (Download).
• Harabagiu, S., Goodwin, T. and Maldonado, R. (2015). Generating and Using a Qualified Medical Knowledge Graph for Patient Cohort Retrieval from Big Clinical Electroencephalography (EEG) Data. Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA. (Download).
• Obeid, I. and Picone, J. (2015). The Neural Engineering Data Consortium. Working Group on Neurocritical Care Informatics, Neurocritical Care Annual Society Meeting (p. 3). Scottsdale, Arizona, USA. (Download).
• Obeid, I. and Picone, J. (2014). The Neural Engineering Data Consortium. The IEEE EMBS BRAIN Grand Challenges Conference. Washington, D.C., USA. (Download).
• Obeid, I., Harati, A. and Picone, J. (2014). EEG Event Detection Using Big Data. 48th Annual Asilomar Conference on Signals, Systems, and Computers. Pacific Grove, California, USA. (Download).
• Obeid, I. and Picone, J. (2014). Big Data Archive for EEG Brain Machine Interfaces. DARPA RE-NET Program Review. Scottsdale, Arizona, USA. (Download).
• Ward, C., Obeid, I., Picone, J. and Jacobson, M. (2013). Leveraging Big Data Resources for Automatic Interpretation of EEGs. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). New York City, New York, USA. (Download).
• Adamczyk, M., Parker, D., Cremer, J., Picone, J., Harati, A. and Polgreen, P. (2013). A mobile phone application for pertussis classification based on machine learning. International Meeting on Emerging Diseases and Surveillance. Vienna, Austria. (Download).
• Picone, J. (2006). Information Retrieval From Voice: The Importance of Flexibility and Efficiency. DoD Spoken Term Detection Workshop. Gaithersburg, Maryland, USA. (Download).
• Picone, J., Duncan, R. and Hamaker, J. (2001). Internet-Accessible Speech Recognition Technology. O'Reilly Open Source Convention. San Diego, California, USA. (Download).
• Sundaram, R. and Picone, J. (2001). The Effects of Transcription Errors. DoD Speech Transcription Workshop. Linthicum Heights, Maryland, USA. (Download).
• Sundaram, R., Hamaker, J. and Picone, J. (2001). TWISTER: The ISIP 2001 Conversational Speech Evaluation System. DoD Speech Transcription Workshop. Linthicum Heights, Maryland, USA. (Download).
• Zheng, F., Hamaker, J., Goodman, F., George, B., Parihar, N. and Picone, J. (2001). The ISIP 2001 NRL Evaluation for Recognition of Speech in Noisy Environments. DARPA Workshop on Speech In Noisy Environments. Orlando, Florida, USA. (Download).
• George, B., Necioglu, B., Picone, J., Shuttic, G. and Sundaram, R. (2000). The 2000 NRL Evaluation for Recognition of Speech in Noisy Environments. DARPA Workshop on Speech In Noisy Environments. Alexandria, Virginia, USA. (Download).
• Picone, J., Atkeson, C. and Alphonso, I. (2000). Harnessing High Bandwidth: Applications in Speech Recognition. Internet 2 Member Meeting. Washington, D.C., USA. (Download).
• Price, P. and Picone, J. (2000). Automatic Speech Recognition: Better Than Text? AAAS Annual Meeting and Science Innovation Exposition. Washington, D.C., USA. (Download).
• Picone, J., Byrne, W., Beyerlein, P., Huerta, J., Khudanpur, S., Morgan, J., Peterek, N., Marthi, B., & Wang, W. (1999). Knowledge-Based Phone Mappings. Proceedings of the NSF Workshop on Language Engineering for Students and Professionals Integrating Research and Education. Baltimore, Maryland, USA. (Download).
• Picone, J., Bridle, J., Deng, L., Kamm, T., Ma, J., Pike, S., Reagan, R. , Richards, H., & Schuster, M. (1998). Evaluation of Hidden Dynamic Models on Continuous Speech. NSF Workshop on Language Engineering for Students and Profession als Integrating Research and Education. Baltimore, Maryland, USA. (Download).
• Ganapathiraju, A., Doddington, G., Corrada, A., Goel, V., Wheatley, B., Kirchoff, K., Ordowski, M., & Picone, J. (1997). Syllable-Based Speech Recognition. Summer Workshop on Speech Recognition. Baltimore, Maryland, USA. (Download).
• Rudis, V., Thill, R., Gramann, J., Picone, J., Kalidindi, N. and Tappe, P. (1997). Understory structure by season following uneven-aged and six years after treatment. Proceedings of the Biennial North America n Forest Ecology Workshop. Raleigh, North Carolina, USA. (Download).
• Picone, J. (1994). Recent Trends in Speech Coding For Personal Communications. IEEE Wichita Section Conference on Communications, Networking and Signal Processing. Wichita, Kansas, USA. (Download).
• Picone, J. (1989). Tutorial: Speech Recognition Using Hidden Markov Models. Speech Technology Conference. New York City, New York, USA,. (Download).
• Picone, J. (1989). Towards an Integrated Research and Development Environment. Speech Technology Conference. New York City, New York, USA. (Download).
• Hemphill, C. and Picone, J. (1989). Unifying Speech and Natural Language. AAAI Spring Symposium Series. Palo Alto, California, USA. (Download).
• Wheatley, B. and Picone, J. (1989). Integrating Speech Technologies For Medical Applications. Medical Applications of Voice Response Technology. Pittsburgh, Pennsylvania, USA. (Download).
• Picone, J., Doddington, G. and Godfrey, J. (1988). A Layered Grammar Approach to Speaker Independent Speech Recognition. IEEE Speech Recognition Workshop. (Download).
• Picone, J. (1987). Tutorial: Recent Trends in Digital Speech Coding. Eastern Communications Forum. Stamford, Connecticut, USA. (Download).
• Goudie-Marshall, K., Picone, J. and Fisher, W. (1985). Phonetic String Alignment. Journal of the Acoustical Society of America (p. S12). Syracuse, New York, USA. (Download).

Presentations (Invited):

• Picone, J. (2024). Applications of Deep Learning to Automated Interpretation of Electroencephalograms. University of New Mexico Health Sciences. (Download)
• Picone, J. (2023). Automated Interpretation of Pathology Images. Fox Chase Cancer Center. (Download)
• Picone, J., McKenzie, S., & Desai, M. (2022). Unencumbered Electroencephalogram (EEG) Corpora: Advancing Technology Using Big Data Resources. International Neuroinformatics Coordinating Facility Neuromatics Conference (INCF). (Donwload)
• Degerberg, K. (2020). Women in Engineering: About That Life Plan You Don’t Have Yet…. IEEE Section Meeting, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., & Picone, J. (2019). Applying Speech Processing Approaches to EEG. EEG: Analytical Approaches and Applications Virtual Symposium. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J., & Obeid, I. (2019). The Temple University Hospital (TUH) Electroencephalogram (EEG) Corpus. EEG: Analytical Approaches and Applications Virtual Symposium. Philadelphia, Pennsylvania, USA. (Download).
• Coe, J., & Picone, J. (2018). Use of Big Data and Machine Learning in Support of the Pennsylvania Strategic Highway Safety Plan. PennDOT Research Symposium (p. 21). Harrisburg, Pennsylvania, USA. (Download).
• Picone, J. and Obeid, I. (2018). Enabling Deep Learning Approaches for Automatic Interpretation of EEGs. Neural Interfaces Conference (p. 23). Minneapolis, Minnesota, USA. (Download).
• Picone, J. and Obeid, I. (2016). Fundamentals in Data Science: Data Wrangling, Normalization, Preprocessing of Physiological Signals. M. Dunn (Ed.), The BD2K Guide to the Fundamentals of Data Science (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
• Harabagiu, S. (2016). Fundamentals in Data Science: Active Deep Learning-Based Annotation of Electroencephalography Reports for Patient Cohort Identification. M. Dunn (Ed.), The BD2K Guide to the Fundamentals of Data Science (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
• Obeid, I., Picone, J. and Farkas, T. (2016). Transforming Clinical Practice Using Big Data: Embracing Analytics While Balancing Cybersecurity Risks. A. Kuhlman and M. Mariengo-Hall (Eds.), Crypto-Linguistic Association, Department of Defense (p. 1). Fort Meade, Maryland, USA: Department of Defense. (Download).
• Obeid, I. and Picone, J. (2014). The Neural Engineering Data Consortium: Towards Big Data Resources in Bioengineering. IEEE EnCON (in press). Indianapolis, Indiana, USA. (Download).
• Obeid, I., Harati, A., Jacobson, M. and Picone, J. (2014). A Big-Data Approach to Automated EEG Labeling. Neuroinformatics. Leiden, The Netherlands. (Download).
• Picone, J. and Harati, A. (2013). Emerging Directions in Statistical Modeling in Speech Recognition. Department of Computer Science, The University of Iowa. Iowa City, Iowa, USA. (Download).
• Picone, J., Lu, S. and Harati, A. (2013). Hand Gesture Recognition Using Hidden Markov Models. IEEE Section Meeting, Northern Virginia. Arlington, Virginia, USA. (Download).
• Picone, J., Harati, A., Steinberg, J. and Sobel, M. (2013). Nonparametric Bayesian Approaches for Acoustic Modeling in Speech Recognition. Department of Electrical and Computer Engineering, New Jersey Institute of Technology. Newark, New Jersey, USA. (Download).
• Picone, J. and Obeid, I. (2012). The Neural Engineering Data Consortium: Deja Vu All Over Again. 20th Anniversary Celebration, Linguistic Data Consortium, University of Pennsylvania. Philadelphia, Pennsylvania, USA. (Download).
• Harati, A. and Picone, J. (2012). Applications of Dirichlet Process Models to Speech Processing and Machine Learning. IEEE Section Meeting, Northern Virginia. Fairfax, Virginia, USA. (Download).
• Picone, J. (2011). Human Language Technology: From Bits to Blogs. Department of Kinesiology, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2011). Quality Assessment of Search Terms in Spoken Term Detection. Department of Statistics, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Srinivasan, S. (2011). A Nonlinear Mixture Autoregressive Model for Speaker Verification. Department of Electrical and Computer Engineering, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). Quality Assessment of Search Terms in Spoken Term Detection. Department of Electrical and Computer Engineering, University of Delaware. Newark, Delaware, USA. (Download).
• Picone, J. (2010). Human Language Technology: From Bits to Blogs. Department of Neuroscience, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). Quality Assessment of Search Terms in Spoken Term Detection. Department of Electrical and Computer Engineering, Old Dominion University. Norfolk, Virginia, USA. (Download).
• Ma, T. (2010). A Linear Dynamic Model for Continuous Speech Recognition. Department of Electrical and Computer Engineering, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2009). Nonlinear Statistical Modeling of Speech. Department of Computer and Information Science, Temple University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2009). Nonlinear Statistical Modeling of Speech. IEEE Section Meeting, Northern Virginia. MacLean, Virginia, USA. (Download).
• Picone, J. (2008). Can You Say Hamburger in 6,000 Languages? The Mississippi School For Mathematics and Science. Columbus, Mississippi, USA. (Download).
• Picone, J. (2006). National Security By The Numb3rs. The Mississippi School For Mathematics and Science. Columbus, Mississippi, USA. (Download).
• Picone, J. (2005). Speech Recognition: An Overview of Statistical Modeling of Acoustics. JHU Summer School on Human Language Technology. Baltimore, Maryland, USA. (Download).
• Picone, J. (2005). Human Language and Communication: Why is this research area still an important challenge? National Science Foundation: Human Language and Communication. Arlington, Virginia, USA. (Download).
• Picone, J. (2004). Introducing Human and Systems Engineering at the Center for Advanced Vehicular Systems. Department of Defense. Fort Meade, Maryland, USA. (Download).
• Picone, J. (2004). Applications of Risk Minimization to Speech Recognition. Department of Computer Science and Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2003). Applications of Risk Minimization to Speech Recognition. Signal Processing Group, International Business Machines (IBM). White Plains, New York, USA. (Download).
• Picone, J. (2003). ... Not Just Another Public Domain Software Project ... Department of Computer and Information Science, University of Alabama at Birmingham. Birmingham, Alabama, USA. (Download).
• Picone, J. (2003). Dude, Where Is My... Signals and Systems Textbook? IEEE Section Meeting, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2003). Applications of Risk Minimization to Speech Recognition. MIT Lincoln Laboratory. Lexington, Massachusetts, USA. (Download).
• Picone, J. (2002). Internet-Accessible Speech Recognition Technology. Department of Electrical and Computer Engineering, University of Texas at Dallas. Richardson, Texas, USA. (Download).
• Picone, J. (2002). Improving Recognition Performance in Noisy Environments. Summer Workshop Planning Meeting, Johns Hopkins Center for Language and Speech Processing. Baltimore, Maryland, USA. (Download).
• Picone, J. (2002). ... Not Just Another Public Domain Software Project ... Dallas Area Speech Technology Professionals Forum. Richardson, Texas, USA. (Download).
• Picone, J. (2002). Hidden Markov Models: A Hallucinatory Approach To Speech Recognition. Department of Cognitive Science, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2002). Speech Recognition Technology: Commodity or Liability. Intervoice Technology Summit. Richardson, Texas, USA. (Download).
• Baca, J. (2002). Research Challenges of Voice Dialog Systems. Department of Computer Science, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J., Jelinek, B. and Picone, J. (2002). Sparse Methods for Continuous Speech Recognition. Information Technology Research Program Review, Brown University. Providence, Rhode Island. (Download).
• Picone, J., Hamaker, J. and Ganapathiraju, A. (2002). Speech Recognition: Reasoning Under Uncertainty. Human Language Technology Conference, University of Texas at Dallas. Richardson, Texas, USA. (Download).
• Picone, J. (2001). Internet-Accessible Speech Recognition Technology. University of Texas at Dallas. Richardson, Texas, USA. (Download).
• Picone, J. (2001). Internet-Accessible Speech Recognition Technology. University of Texas at Dallas. Richardson, Texas, USA. (Download).
• Picone, J. (2001). Internet-Accessible Speech Recognition Technology. Michigan State University. Lansing, Michigan, USA. (Download).
• Picone, J. (1999). Human Language Technology Research. Starkville Academy. Starkville, Mississippi, USA. (Download).
• Picone, J. (1999). The ISIP Foundation Classes. Department of Defense. Fort Meade, Maryland, USA. (Download).
• Picone, J. (1999). Baum Welch Training. Department of Defense. Fort Meade, Maryland, USA. (Download).
• Picone, J. (1998). Public Domain Speech Recognition Technology. Media Technologies Laboratory, DSPS Research and Development Center, Texas Instruments. Dallas, Texas, USA. (Download).
• Picone, J. (1998). Recent Developments in ISIP-Aos LVCSR Activities. Department of Defense. Fort Meade, Maryland, USA. (Download).
• Hamaker, J. and Shaffer, J. (1998). An Overview of Speech Research at ISIP. Starkville Kiwanis Club. Stamford, Connecticut, USA. (Download).
• Picone, J. (1997). An Overview of Speech Recognition Research at MS State. MS State Institutional Advancement Seminar. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1997). Telecom-Related Activities in ISIP. International Engineering Consortium. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1989). Automated Speech Recognition: Hidden Markov Models and Beyond. IEEE Section Meeting, Dallas. Dallas, Texas, USA. (Download).

Presentations (Miscellaneous):

• Dumitrescu, C. (2024). Generative Adversarial Networks. Temple CAT DPATH Seminar, Temple University, 1–8. (Download).
• Bagritsevich, M., & Hackel, D. (2024). Special Cases in the Temple University Hospital Digital Pathology Corpus: Breast Tissue Subset. NEDC Special Seminar, Temple University, 1–15. (Download).
• Lotfi, I., & Obeid, I. (2024). Genomic Analysis. NEDC Special Seminar, Temple University, 1–11. (Download).
• Ferreira Lima Lourenco Dimas, C., & Picone, J. (2024). Annotation of DPATH Data. Student Athlete Showcase, Temple Athletics, Temple University, 1. (Download).
• Melles, A.-M., & Picone, J. (2024). Annotation of Ambulatory EEG Data. Student Athlete Showcase, Temple Athletics, Temple University, 1. (Download).
• Bolshak, D. and Picone, J. (2024). Applications of Large Language Models to Automatic Interpretation of Electroencephalograms. Senior Research Project, College of Science and Technology, Temple University, 1. (Download).
• Ahmed, M., Berman, L., & Nghiem, Y. (2024). ML in Digital Pathology. Senior Design, College of Engineering, Temple University, 1–17. (Download).
• Paroya, A., Dewees, L., & Chau, A. (2023). Cardiovascular Disease Detection Using 12-Lead Electrocardiodgram (ECG) Machine Learning. Senior Design, College of Engineering, Temple University, 1–17. (Download).
• Melles, A.-M., Oymann, R., & Picone, J. (2023). Annotation of Ambulatory EEG Data. Neuroscience Career Fair, Department of Neuroscience, College of Liberal Arts, Temple University, 1. (Download).
• Gautier, N., Hodge-Davis, E., & Rivera, J. (2023). ISIP Research Final. Final Report, Pathway to Temple STEM High School Research Program, Temple University, 1-16. (Download).
• Khanton, M. (2023). Brain Computer Interface. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University, 1-70. (Download).
• Seifi, S. (2023). Applications of Deep Learning to Cancer Detection in Digital Pathology. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University, 1-23. (Download).
• Bakum, C., High, B., & Antonio, N. (2023). ARM-Based Coprocessor. Senior Design, Department of Electrical and Computer Engineering, Temple University, 1–18. (Download).
• Babaei, M. (2023). Restricted Boltzmann Machines. NEDC Research Seminars - 02/24/2023, 1-12. (Downloads).
• Babaei, M. (2022). The Number of Qubits Required for Quantum Machine Learning. NEDC Research Seminars - 12/27/2022, 1-11. (Downloads).
• Meng, P. (2022). Debugging 101. NEDC Research Seminars - 11/01/2022, 1. (Download).
• Picone, J. (2022). The Temple University Hospital EEG Corpus. International Congress of Clinical Neurophysiology, 1. (Download).
• Hodgson, Z., & Jean-Pierre, M. (2022). Automated Seizure Detection. SteppingStone Summer Research Program, Temple University, 1–13. (Download).
• Gutierrez, F., Rizokulova, S., Le, M., & Picone, J. (2022). Breast Tissue Annotation of the Digital Pathology Corpora. Temple CAT DPATH Seminar, Temple University, 1–16. (Download).
• Cap, T., Kreitzer, A., Miranda, M., & Vadimsky, D. (2021). IMLD: A Python-Based Interactive Machine Learning Demonstration. Senior Design, College of Engineering, Temple University, 1–18. (Download).
• Shawki, N. (2021). Cancer Detection using Image Inpainting. NEDC Research Seminars. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I. (2021). Machine Learning in Signal and Image Processing. Temple CoE/LKSOM Symposium, Temple University, Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2021). Leveraging Temple University Hospital’s Vast Data Resources: Towards Integrated Multimodal Corpora. Associate Dean of Research, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania, USA. (Download).
• Khalkhali, V. (2021). Seizure Image Detection. NEDC Research Seminars. Philadelphia, Pennsylvania, USA. (Download).
• Khalkhali, V. (2021). Deep Learning Time Series Classification and Clustering. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University, Philadelphia, Pennsylvania, USA. (Download).
• Shawki, N. (2020). Artifact Detection Experiment with Self-Supervised Learning. NEDC Research Seminars, Temple University, Philadelphia, Pennsylvania, USA. (Download).
• Simons, J. (2020). Digital Pathology (DPATH) Breast Tumor Corpus "Analyzing Annotations". NEDC Research Seminars - 07/17/2020. Philadelphia, Pennsylvania, USA. (Download).
• Hamid, A. (2020). Temple University Artifact Corpus. NEDC Research Seminars - 07/10/2020. Philadelphia, Pennsylvania, USA. (Download).
• Shah, V. (2020). Improved Segmentation for Automated Seizure Detection using Channel Dependent Posteriors. NEDC Research Seminars - 07/10/2020. Philadelphia, Pennsylvania, USA. (Download).
• Khalkhali, V. (2020). Digital Pathology Image Interpretation: Image Segmentation. NEDC Research Seminars - 07/03/2020. Philadelphia, Pennsylvania, USA. (Download).
• Shawki, N. (2020). Persyst 14. NEDC Research Seminars - 07/03/2020. Philadelphia, Pennsylvania, USA. (Download).
• Tchiong, V. (2020). Error Analysis on TUSZ. NEDC Research Seminars - 06/26/2020. Philadelphia, Pennsylvania, USA. (Download).
• Tulin, N. (2020). Temple Hospital Workflow. NEDC Research Seminars - 06/26/2020. Philadelphia, Pennsylvania, USA. (Download).
• Shaw, S. (2020). Automated System Testing in the Neuronix Cluster. NEDC Research Seminars - 06/19/2020. Philadelphia, Pennsylvania, USA. (Download).
• Simons, J. (2020). Digital Pathology Breast Tumor Corpus. NEDC Research Seminars - 06/19/2020. Philadelphia, Pennsylvania, USA. (Download).
• Shah, V. (2020). Scalp EEG Seizure Detection via U-Net. NEDC Research Seminars - 06/12/2020. Philadelphia, Pennsylvania, USA. (Download).
• Khalkhali, V. (2020). NeuroSyd (The University of Sydney, Australia). NEDC Research Seminars - 06/12/2020. Philadelphia, Pennsylvania, USA. (Download).
• Shawki, N. (2020). The Neureka™ 2020 Epilepsy Challenge. NEDC Research Seminars - 06/12/2020. Philadelphia, Pennsylvania, USA. (Download).
• Khalkhali, V. (2020). Digital Pathology Image Interpretation (Algorithms). NEDC Research Seminars - 06/08/2020. Philadelphia, Pennsylvania, USA. (Download).
• Cap, T. (2020). Realtime Demo. NEDC Research Seminars - 06/05/2020. Philadelphia, Pennsylvania, USA. (Download).
• Vorwick, L. (2020). ISIP Machine Learning Demonstration (IMLD). NEDC Research Seminars - 06/05/2020. Philadelphia, Pennsylvania, USA. (Download).
• Shah, V. (2020). Multiphase Seizure Detection Model. NEDC Research Seminars - 05/29/2020. Philadelphia, Pennsylvania, USA. (Download).
• Rahman, S. (2020). Release Plans for TUEG and TUSZ. NEDC Research Seminars - 05/29/2020. Philadelphia, Pennsylvania, USA. (Download).
• Teperov, J. (2020). Recent Developments in the Neuronix Cluster. NEDC Research Seminars - 05/22/2020. Philadelphia, Pennsylvania, USA. (Download).
• Liang, D. (2020). NEDC Web Development. NEDC Research Seminars - 05/22/2020. Philadelphia, Pennsylvania, USA. (Download).
• Khalkhali, V. (2020). Digital Pathology Image Interpretation. NEDC Research Seminars - 05/15/2020. Philadelphia, Pennsylvania, USA. (Download).
• Shawki, N. (2020). The Real-time Seizure Detection System. NEDC Research Seminars - 05/15/2020. Philadelphia, Pennsylvania, USA. (Download).
• Roy, Y., Iskander, R., & Picone, J. (2020). The Neureka 2020 Epilepsy Challenge. A NeuroTechX Webinar. Philadelphia, Pennsylvania, USA. (Download).
• Shawki, N. (2020). Unsupervised Feature Learning in Electroencephalography. Temple University College of Engineering (pp. 22). Philadelphia, Pennsylvania, USA. (Download).
• Zhang, S. (2019). Multi-Sensor Information Acquisition and Fusion. Temple University College of Engineering (pp. 24). Philadelphia, Pennsylvania, USA. (Download).
• Shah, V., & Picone, J. (2018). EEG Event Classification Using Deep Learning. Human Language Technology Center of Excellence. Johns Hopkins University, Baltimore, Maryland, USA. (Download).
• Shah, V. (2017). Deep Learning Approaches to Automate Seizure Detection. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University (p. 16). Philadelphia, Pennsylvania, USA. (Download).
• Camaratta, J., Golmohammadi, M., Obeid, I. and Picone, J. (2017). AutoEEG: Automatic Interpretation of EEGs (p. 41). Temple Innovation Showcase. Philadelphia, Pennsylvania, USA. (Download).
• Camaratta, J. (2017). BioSignal Strategic Planning. BioSignal Strategic Planning Meeting (p. 8). Philadelphia, Pennsylvania, USA. (Download).
• Camaratta, J., Obeid, I. and Picone, J. (2017). Company Status. Biosignal Analytics Board of Directors Annual Meeting (p. 5). Philadelphia, Pennsylvania, USA. (Download).
• Camaratta, J., Obeid, I. and Picone, J. (2017). Automatic Seizure Detection on the TUH EEG Corpus (p. 5). Persyst. Philadelphia, Pennsylvania, USA. (Download).
• Camaratta, J., Obeid, I. and Picone, J. (2017). Phase II STTR Status. Moberg ICU Solutions (p. 10). Ambler, Pennsylvania, USA. (Download).
• Camaratta, J., Obeid, I. and Picone, J. (2017). Phase I STTR Status. Moberg ICU Solutions (p. 4). Ambler, Pennsylvania, USA. (Download).
• Gross, A. (2016). Functional Programming Overview. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• McHugh, J. (2016). Docker Overview. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Camaratta, J., Obeid, I. and Picone, J. (2016). BioSignal Analytics Inc. Overview. Angel Capital Association Annual Meeting (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Ziyabari, S. (2016). Signal Modeling Using Deep Neural Networks. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Golmohammadi, M. (2016). EEG Classification Using Long Short-Term Memory. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. and Obeid, I. (2015). AutoEEG(TM): EEG Analytics from Big Data. University City Science Center QED Breakfast. (Download).
• Picone, J. and Obeid, I. (2015). Introducing ISIP and NEDC. Pennsylvania Department of Transportation (PENNDOT), College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., Suarez, G., Teles Dutra Goncalves, F., & Trejo, D. (2015). Weekly Reports - 06/15/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., Suarez, G., Teles Dutra Goncalves, F., & Trejo, D. (2015). Weekly Reports - 06/08/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., Suarez, G., Teles Dutra Goncalves, F., & Trejo, D. (2015). Weekly Reports - 05/29/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Jungreis, D. (2015). Medical Aspects of Our EEG Work. Seminar Series, Neural Engineering Data Consortium. Philadelphia, Pennsylvania, USA. (Download).
• Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., Suarez, G., Teles Dutra Goncalves, F., & Teles Dutra Goncalves, F. (2015). Weekly Reports - 05/22/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., Suarez, G., & Teles Dutra Goncalves, F. (2015). Weekly Reports - 05/15/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Golmohammadi, M., Harati, A., Lopez, S., Obeid, I., Jacobson, M. and Tobochnik, S. (2014). Automatic Labeling of EEGs Using Deep Learning. Department of Neurology, Temple University Hospital. Philadelphia, Pennsylvania, USA. (Download).
• Lu, S. (2013). Weekly Reports - 08/09/2013. ISIP Summer Research on Deep Learning, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Lu, S. (2013). Weekly Reports - 08/09/2013. ISIP Summer Research on Deep Learning, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Ward, C., Obeid, I. and Picone, J. (2013). Manual Interpretation of EEGs: A Machine Learning Perspective. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
• Lu, S. (2013). Weekly Reports - 08/09/2013. ISIP Summer Research on Deep Learning, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Steinberg, J. (2013). A Comparative Analysis of Bayesian Nonparametric Variational Inference Algorithms for Phoneme Recognition. Department of Defense Technical Talk, Maryland, USA. (Download).
• Harati, A. (2012). Hierarchical Dirichlet Processes and Infinite HMMs. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Harati, A. (2012). Quality Assessment of Search Terms in Spoken Term Detection. High Performance Computing Seminar, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Lu, S. (2012). Gesture and Sign Language Recognition. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2012). The Department of Electrical and Computer Engineering . Staff Retreat, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J., Bai, L. and Baran, G. (2012). The Department of Electrical and Computer Engineering. Lockheed Martin. Philadelphia, Pennsylvania, USA (Download).
• Steinberg, J. (2012). An Introduction to Mandarin Speech Recognition. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
• Harati, A. (2011). Hierarchical Dirichlet Processes. Seminar Series, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Harati, A. and Picone, J. (2011). Quality Assessment of Search Terms in Spoken Term Detection. Seminar Series, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2011). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Steinberg, J. (2011). Mandarin Chinese Speech Recognition. Seminar Series, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). The Department of Electrical and Computer Engineering. Senior Vice Provost for Research. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). The Department of Electrical and Computer Engineering. Esperanza Academy. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). Faculty Retreat. Department of Electrical and Computer Engineering, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., and Santin, C. (2010). Weekly Reports - 05/28/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). The Department of Electrical and Computer Engineering. Senior Vice Provost for Research. Philadelphia, Pennsylvania, USA. (Download).
• Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., and Santin, C. (2010). Weekly Reports - 06/04/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., and Santin, C. (2010). Weekly Reports - 05/21/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). The Department of Electrical and Computer Engineering. Staff Retreat, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., and Santin, C. (2010). Weekly Reports - 06/11/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., and Santin, C. (2010). Weekly Reports - 06/18/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2010). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Cohen, R., Higgins, F., Picone, J. and Shah, S. (2010). Emerging Directions in Senior Design: Towards a Multidisciplinary Design Experience. Faculty Retreat, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Gro, J., Moscato, A., Mushaeva, I. and Picone, J. (2010). Introduction to Electrical and Computer Engineering: Towards Autonomous Robots. WE2 Summer Workshop, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2009). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2009). The Department of Electrical and Computer Engineering . Rowan University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2009). The Department of Electrical and Computer Engineering at Temple University. Entreprise of RhCollegene-Alpes International Engineering (ERAI). Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2009). Department Vision. Department of Electrical and Computer Engineering, University of South Florida. Tampa, Florida, USA. (Download).
• Picone, J. (2009). The Department of Electrical and Computer Engineering . Naval Surface Warfare Center. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2009). Potential Synergies Between Speech Recognition and Proteomics. Life Sciences and Biotechnology Institute, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2009). The Department of Electrical and Computer Engineering . ECE Industrial Advisory Council. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2009). Recognition of Nonstationary Signals. Miltec Research and Technology. Oxford, Mississippi, USA. (Download).
• Picone, J. (2009). Faculty Retreat. Department of Electrical and Computer Engineering, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2009). The Department of Electrical and Computer Engineering. Board of Visitors, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J., Saddow, S., Koshka, Y. and Neretina, S. (2009). Biocompatible Materials Institute. Planning Workshop, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Ma, T. (2008). Linear Dynamic Model (LDM) for Automatic Speech Recognition. Intel. Santa Clara, California, USA. (Download).
• May, D. (2008). Nonlinear Dynamic Invariants for Continuous Speech Recognition. SAIC. MacLean, Virginia, USA. (Download).
• Lee, S. (2006). Software Release and Support Vector Machines. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Lee, S. (2006). RVM Implementation Progress. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Lee, S. (2006). On a Utility for Speaker Verification. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• May, D. (2006). Phone Discrimination Using Correlation Dimension Invariant. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Lee, S. (2006). Speaker Recognition Using Nonlinear Invariants. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• May, D. (2006). Release Progress. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Pannuri, M. (2006). Mutual Information and Dimension Estimation. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Suh, J.-W. (2006). Speaker Verification System using SVM. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Lee, S. (2006). Research Update. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• May, D. (2006). Release Progress Report. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Pannuri, M. (2006). Dimension on speech. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Prasad, S. (2006). Dynamical Invariants from a Time Series. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Suh, J.-W. (2006). Progress on the Speech Recognition Search Demo. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Lee, S. (2006). Discrimination Measure from Speech Signal. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• May, D. (2006). Grammar Transformation Support in the IFC Language Model Classes. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Pannuri, M. (2006). Correlation Dimension. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Prasad, S. (2006). Estimating Kolmogorov Entropy from Acoustic Attractors from a Recognition Perspective. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Suh, J.-W. (2006). Research Update. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Copeland, T. (2006). A Tutorial on IES Standards for Microsoft Word. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Ma, T. (2006). Research Update. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Prasad, S. and Srinivasan, S. (2006). Dynamical Invariants for Speech Recognition - Plans for Summer 2006. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Srinivasan, S. (2006). Research Update. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Porandla, S. and Gao, D. (2005). Using ADVISOR 2.0. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Mathews, J. and Gao, D. (2005). The GME Modeling Process. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Porandla, S. and Gao, D. (2005). Final Report on Automotive Powertrain Systems. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Mathews, J. and Gao, D. (2005). The Bond Graph Methodology for Modeling of Continuous Dynamic Systems. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Porandla, S. and Gao, D. (2005). Optimization of Hybrid Powertrain using DIRECT Algorithm. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Jenkins, W., Lewis, R., Lazarou, G., Picone, J. and Rowland, Z. (2005). Real-Time Vehicle Performance Monitoring Using Wireless Networking. Diversified Technology Incorporated. Mississippi State, Mississippi, USA. (Download).
• Lazarou, G. and Picone, J. (2005). Intelligent Electronic Systems: Integrating Electronics, Communications and Signal Processing. Nissan Technical Center, Nissan Corporation. Yokohama, Japan. (Download).
• Musunuri, S., Mathews, J. and Gao, D. (2005). Introduction to Generic Modeling Environment. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Patil, S. and Irwin, R. (2005). Introduction to Particle Filtering. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Raghavan, S. and Picone, J. (2005). Confidence Measures Using Word Posteriors and Word Graphs. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Capabilities For Intelligent Electronic Systems: Real-time Extraction of Information From Signals. Georgia Tech Research Institute. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Intelligent Transportation Systems: Integrating Electronics, Communications and Signal Processing. National Automotive Center. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Capabilities For Intelligent Electronic Systems: Real-time Extraction of Information From Signals. Program Review, George Lea, National Science Foundation (Retired). Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Homeland Security Update: Emergency Response, Border Security, US Visit. John Keast, Chief of Staff, Representative R. Wicker. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Introducing Human and Systems Engineering at the Center for Advanced Vehicular Systems. Operation Respond, Inc. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Human and Systems Engineering: Bridging the Gap Between Human and Machine Performance. Nissan North America, Nissan Corporation. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Human and Systems Engineering: Bridging the Gap Between Human and Machine Performance. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Homeland Security Update: Emergency Response, Border Security, US Visit. Mark Keenum, Chief of Staff, U.S. Senator T. Cochran. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Risk Minimization in Speech Recognition. Department of Electrical and Computer Engineering, Oklahoma State University. Stillwater, Oklahoma, USA. (Download).
• Picone, J. (2004). Risk Minimization in Speech Recognition. Department of Electrical and Computer Engineering, University of Wyoming. Laramie, Wyoming, USA. (Download).
• Picone, J. (2004). Intelligent Transportation Systems: Integrating Electronics, Communications and Signal Processing. American Truckers Association. Mississippi State, Mississippi, USA. (Download).
• Picone, J. and Lazarou, G. (2004). Human and Systems Engineering: Bridging the Gap Between Human and Machine Performance. Dynetics. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Human Language Technology: Advanced Statistical Modeling With Applications in Biometrics. Accenture. Mississippi State, Mississippi, USA. (Download).
• Picone, J. and Lazarou, G. (2004). Intelligent Electronic Systems: Intelligent Systems With Applications in Homeland Security. Department of Homeland Security, State of Mississippi. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Statistical Modeling of Speech: Bridging the Gap in Human and Machine Performance. Ncycles. Mississippi State, Mississippi, USA. (Download).
• Picone, J. and Lazarou, G. (2004). Intelligent Transportation Systems : Campus Bus Networking. Information Technology Services, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Introducing Intelligent Electronic Systems at the Center for Advanced Vehicular Systems. Nissan Corporation. Mississippi State, Mississippi, USA. (Download).
• Picone, J. and Lazarou, G. (2004). Joint Congressional Initiatives. Diversified Technology Incorporated. Ridgeland, Mississippi, USA. (Download).
• Baca, J. (2004). Spoken Language Dialog Systems. Seminar Series, Department of Computer Science and Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Parihar, N. and Picone, J. (2004). Performance Analysis of Advanced Front Ends on the Aurora Large Vocabulary Evaluation. Graduate Student Association, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Patil, S. (2004). Comments on The Unscented Particle Filter. Seminar Series, Center for Advanced Vehicular Systems. Mississippi State, Mississippi, USA. (Download).
• Picone, J. and Brocato, J. (2004). Righting Right and Wording Better. Seminar Series, Center for Advanced Vehicular Systems. Mississippi State,Mississippi, USA. (Download).
• Picone, J., Haupt, T. and Rowland, Z. (2004). Human and Systems Engineering: Bridging the Gap Between Human and Machine Performance. American Truckers Association. Mississippi State, Mississippi, USA. (Download).
• Picone, J., Hill, C., Vaughn, R., Johnston, M. and Waggoner, C. (2004). Capabilities in Information Management for First Responders. Operation Respond, Inc. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2003). New Graduate Student Orientation: Introduction to ISIP. New Graduate Student Orientation, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2003). Institute for Signal and Information Processing. University of Mississippi Medical Center. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2003). Institute for Signal and Information Processing. Congressional Staff Federal Initiatives. Mississippi State, Mississippi. USA. (Download).
• Picone, J. (2003). Capabilities for Intelligent Electronic Systems. Department of Homeland Security. Mississippi State, Mississippi, USA. (Download).
• Parihar, N. (2003). Signal Processing for Client/Sever Applications in Next Generation Cellular Telephony. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Miss. (Download).
• Picone, J. (2003). Intelligent Systems Research at MS State. Congressional Staff Federal Initiatives. Mississippi State, Mississippi, USA. (Download).
• Parihar, N. (2003). An Analysis of the Aurora Large Vocabulary Evaluations. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2003). Institute for Signal and Information Processing. Department of Electrical and Computer Engineering, University of Texas at San Antonio. Mississippi State, Mississippi, USA. (Download).
• Alphonso, I. (2003). Hybrid Systems for Continuous Speech Recognition. Tellme. Mountain View, California, USA. (Download).
• Baca, J. (2003). Overview of Voice Dialog Research in CAVS. Advisory Board, Department of Computer Science, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Baca, J. and Picone, J. (2003). Voice Dialog Systems. Open House, Center for Advanced Vehicular Systems. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J. (2003). A Sparse Modeling Approach to Speech Recognition Using Kernel Machines. Microsoft. Redmond, Washington, USA. (Download).
• Lazarou, G., Molen, G. M. and Picone, J. (2003). Initiative for Intelligent Electronic Systems. Diversified Technology Incorporated. Ridgeland, Mississippi, USA. (Download).
• Picone, J. and Mazzola, M. (2003). Collaborations in Intelligent Electronics Systems. Annual Retreat, Center for Advanced Vehicular Systems. Mississippi State, Mississippi, USA. (Download).
• Picone, J., Mazzola, M., Molen, G. M. and Baca, J. (2003). An Overview of Intelligent Systems Research at MS State. Human Language and Communication, National Science Foundation. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2002). Intelligent Systems Research at MS State. Naval Meteorology and Oceanography Command, Stennis Space Center. Hancock County, Mississippi, USA. (Download).
• Picone, J. (2002). Human Language Technology Initiative. Congressional Staff Federal Initiatives. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J. (2002). A Probabilistic Analysis of the Unfair Euro Coin. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Lazarou, G. (2002). Intelligent Systems Research at MS State. Nissan Corporation. Yokohama, Japan. (Download).
• Zheng, F. (2002). An In-Vehicle Dialog System. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2001). Not Just Another Public-Domain Software Project. Nissan Corporation. Mississippi State, Mississippi, USA. (Download).
• Srivastava, S. (2001). Fast Gaussian Evaluations in Large Vocabulary Continuous Speech Recognition. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2001). ISIP Overview. Nissan Corporation. Mississippi State, Mississippi, USA. (Download).
• Srivastava, S. (2001). A K-Dimensional Binary Search Tree and Its Optimization. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Jelinek, B. (2001). Resource Management System. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Zheng, F. (2001). Towards 10x Real-Time System. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J. (2000). The ISIP Public-Domain LVCSR System. Human Language Technology, International Business Machines (IBM). White Plains, New York, USA. (Download).
• Duncan, R. and Picone, J. (1999). A String Object. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Brown, R. (1999). An Overview Of Engineering in the ISIP Environment. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Duncan, R. (1999). ISIP System Library II. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Duncan, R. and Picone, J. (1999). ISIP System Library. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Brown, R. (1999). Java Applets. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Duncan, R. (1999). Parameter Parsing. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Duncan, R. and Picone, J. (1999). The ISIP System Library - Part II. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
• Alphonso, I. (1999). ISIP Foundation Classes. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1999). Successful Research Strategies. MS State Faculty Development. Mississippi State, Mississippi, USA. (Download).
• Srivastava, S. (1999). The Software Engineering Process at ISIP. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Zhao, J. and Wu, Y. (1999). ISIP ASR Deliverables. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Duncan, R. (1998). Signal Object Files. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Deshmukh, N. and Ganapathiraju, A. (1998). Future Directions in the Trace Projection Decoder. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Duncan, R. (1998). Software Management Using Concurrent Versions System (CVS). Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J. (1998). Crossword Decoding in the ISIP Recognizer. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Zhao, J. (1998). N-Gram Decoding and Lattice Generation. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Deshmukh, N. and Ganapathiraju, A. (1998). Review of the DARPA Broadcast News Workshop. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Duncan, R. (1998). Software Management Using Concurrent Versions System (CVS) - Part II. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J. (1998). New Approaches for Scenic Beauty Estimation. Digital Image Processing Final Project. Mississippi State, Mississippi, USA. (Download).
• Zhao, J. (1998). Lattice Generation. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
• Alphonso, I. and Mantha, V. (1998). ISIPs New Web Site. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Balakrishnama, S. and Le, A. (1998). Scenic Beauty Estimation of Forestry Images. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A. (1998). Introduction To Support Vector Machines. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Godfrey, J. (1998). Phonetics for Speech Technology. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1998). Internet Accessible Speech Recognition Technology. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J. and Deshmukh, N. (1998). ICASSP99 Preview. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J., Ganapathiraju, A., Deshmukh, N. and Zeng, Y. (1998). Towards Public Domain Speech To Text Technology. MS State Alumni Fellows. Mississippi State, Mississippi, USA. (Download).
• Wiggins, R. (1998). DSP Markets - Trends and Challenges. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
• Zeng, Y. (1998). The SWITCHBOARD Project Review. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
• Zhang, X. and Wu, Y. (1998). HMM Training. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1997). Introducing ISIP. State of Mississippi Legislator Briefing. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1997). Parameter Trajectory Modeling in Speech Recognition. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Deshmukh, N. (1997). Neural Networks And Pronunciations. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A. (1997). A Review of the Summer Workshop on Innovative Techniques for LVCSR. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J. (1997). Alphadigit Recognition. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1997). Recent Progress in ISIP. MS State External Research Advisory Committee. Mississippi State, Mississippi, USA. (Download).
• Deshmukh, N. (1997). Decoder Strategies. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A. (1997). Syllable-Based Speech Recognition. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J. (1997). Switchboard Resegmentation. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1997). Introducing ISIP. MS State External Research Advisory Committee. Mississippi State, Mississippi, USA. (Download).
• Duncan, R. (1997). A Unix Based Telephone Speech Data Collection System. Seminar Series, Institute for Signal and Information Processing. Miss. (Download).
• Kalidindi, N. (1997). Scenic Beauty Estimation of Forestry Images. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Le, A. (1997). The 1997 Hub-4E Evaluation Test Data Selection. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Ngan, J. (1997). Voice Interfaces For Navigating Graphical Information. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J., Ganapathiraju, A., Hamaker, J. and Shaffer, J. (1997). Introducing ISIP. MS State Presidential Program Review. Mississippi State, Mississippi, USA. (Download).
• Picone, J., Hamaker, J. and Shaffer, J. (1997). An Overview of Speech Recognition Research at MS State. NSF Program Review. Mississippi State, Mississippi, USA. (Download).
• Shaffer, J. (1997). Web-Based Signal Processing Tools. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
• Picone, J. and Boggess, L. (1996). Intelligent Systems Research Group. DARPA Intelligent Tutoring Program Review. Mississippi State, Mississippi, USA. (Download).

PhD Dissertations:

• Golmohammadi, M. (2021). Deep Architectures for Spatio-Temporal Sequence Recognition With Applications in Automatic Seizure Detection. Temple University. (Download).
• Oleksyuk, V. (2021). Tactile and Multispectral Imaging Probe with Convolutional Neural Network for Cancer Risk Assessment. Temple University. (Download).
• Shah, V. (2021). Improved Segmentation for Automated Seizure Detection Using Channel-Dependent Posteriors. Temple University. (Download).
• Ahmed, A. (2021). Strategies for Radar-Communication Spectrum Sharing. Temple University. (Download).
• Zhang, S. (2020). Strategies for Sparsity-Based Time-Frequency Analyses. Temple University. (Download).
• Harati, A. (2015). Nonparametric Bayesian Approaches for Acoustic Modeling. Temple University. (Download).
• Napoli, A. (2014). Dissociated Neuronal Networks and Microelectrode Arrays for Investigating Brain Functional Evolution and Plasticity. Temple University. (Download).
• Elaraby, N. (2014). Architecture Design for a Neural Spike-Based Data Reduction Platform Processing Thousands of Recording Channels. Temple University. (Download).
• Thurston, D. (2012). A Proactive Approach to Train Control. Temple University. (Download).
• Lee, J.-H. (2011). Tactile sensation imaging system and algorithms for tumor detection. Temple University. (Download).
• Mountney, J. (2011). Particle Filtering Programmable Gate Array Architecture for Brain Machine Interfaces. Temple University. (Download).
• Ma, T. (2010). Linear dynamic model for continuous speech recognition. Mississippi State University. (Download).
• Srinivasan, S. (2010). A nonlinear mixture autoregressive model for speaker verification. Mississippi State University. (Download).
• Colavito, L. (2009). Evaluation of space-time block codes under controlled fading conditions using hardware simulation. Temple University. (Download).
• Ganapathiraju, A. (2002). Support vector machines for speech recognition. Mississippi State University. (Download).
• Baca, J. (1998). Displayless interface access to spatial data: Effects on speaker prosodics. Mississippi State University. (Download).
• Sukkar, R. (1987). LPC speech: Voiced excitation, arithmetic processing and linear filtering. Illinois Institute of Technology. (Download).
• Picone, J. (1983). Analytic Signal Processing. Illinois Institute of Technology. (Download).

MS Theses:

• Borole, P. (2022). CalciumSim: Simulator for calcium dynamics on neuron graphs using dimensionally reduced model. Temple University. (Download).
• Bernal, V. (2018). Gesture Recognition in Tennis Biomechanics. Temple University. (Download).
• Lopez, S. (2017). Automated Identification of Abnormal EEGs. Temple University. (Download).
• Franz, E. (2014). Development of a Fast and Efficient Algorithm for P300 Event Related Potential Detection. Temple University. (Download).
• Sahu, A. (2013). Hyperspectral Imaging to Discern Malignant and Benign Canine Mammary Tumors. Temple University. (Download).
• Tufts, C. (2013). Estimating Parameters of a Multi-Class Izhikevich Neuron Model to Investigate the Mechanisms of Deep Brain Stimulation . Temple University. (Download).
• Steinberg, J. (2013). A Comparative Analysis of Bayesian Nonparametric Variational Inference Algorithms For Speech Recognition. Temple University. (Download).
• Anifowose, O. (2011). Design of a keyword spotting system using modified cross-correlation in the time and the MFCC domain. Temple University. (Download).
• Kanneganti, S. (2011). Design of an automatic word boundary detection system using the counting rule. Temple University. (Download).
• Karmacharya, P. (2011). Design of Keyword Spotting System Based on Segmental Time Warping of Quantized Features. Temple University. (Download).
• Li, Z. (2011). A multi-agent based approach for solving the redundancy allocation problem. Temple University. (Download).
• Guan, L. (2010). Face recognition with visible and thermal IR images. Temple University. (Download).
• May, D. (2008). Nonlinear dynamic invariants for continuous speech recognition. Mississippi State University. (Download).
• Crocker, M. (2006). A bandwidth estimation method for IP version 6 networks. Mississippi State University. (Download).
• Jenkins, W. (2006). Real-time vehicle performance monitoring with data integrity. Mississippi State University. (Download).
• Raghavan, S. (2006). Applications of large vocabulary continuous speech recognition to fatigue detection. Mississippi State University. (Download).
• Stanley, T. (2006). A robust architecture for human language technology systems. Mississippi State University. (Download).
• Rajan, S. (2005). Dynamically controllable applications for wireless sensor networks. Mississippi State University. (Download).
• Li, J. (2004). A bit-map-assisted energy-efficient MAC scheme for Wireless Sensor Networks. Mississippi State University. (Download).
• Alphonso, I. (2003). Network training for continuous speech recognition. Mississippi State University. (Download).
• Parihar, N. (2003). Performance analysis of advanced front ends on the Aurora Large Vocabulary Evaluation. Mississippi State University. (Download).
• Sundaram, R. (2003). Effects of transcription errors on supervised learning in speech recognition. Mississippi State University. (Download).
• Selvaraj, M. (2002). Scheduling for proportional differentiated services on the Internet. Mississippi State University. (Download).
• Srivastava, S. (2002). Fast Gaussian evaluations in large vocabulary continuous speech recognition. Mississippi State University. (Download).
• Zheng, D. (2002). On the modeling of TCP latency and throughput. Mississippi State University. (Download).
• Long, Z. (2001). The design and implementation of an image segmentation system for forest image analysis. Mississippi State University. (Download).

MS Projects:

• Samarco, M. (2024). Neural Signal Decoder Library and the Investigation of Decoder Handling of Sub-Optimal Neural Data. Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Tabrizi, M. (2014). A Comparative Analysis of Nonlinear Features for an HMM-Based Seizure Detection System. Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Hamaker, J. (2000). Automatic Learning of Hidden Markov Model Topologies Using Information Theoretic Approaches. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
• Zeng, Y. (2000). Dynamic Time Warping Digit Recognizer. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
• Balakrishnama, S. (1999). Statistical Normalization Functions for Signal Processing. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
• Le, A. (1998). Bayesian Decision Tree for Classification of Nonlinear Signal Processing Problems. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
• Ngan, J. (1998). Information Theory Based Decision Trees for Data Classification. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A. (1997). Analysis and Characterization of Fast Fourier Transform Algorithms. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
• Kalidindi, N. (1997). Scenic Beauty Estimation of Forestry Images. Mississippi State University, Mississippi State, Mississippi, USA. (Download).

Reports:

• Koshka, Y., & Picone, J. (2024). FET: Medium: A Quantum Computing Based Approach to Undirected Generative Machine Learning Models (p. 12). National Science Foundation. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
• Koshka, Y., & Picone, J. (2023). FET: Medium: A Quantum Computing Based Approach to Undirected Generative Machine Learning Models (p. 7). National Science Foundation. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
• Seifi, S., & Picone, J. (2022). Pilot Experiments on Feature Importance Using the Rutgers COVID 197-Subject Pilot Database (p. 4). Temple University, Philadelphia, Pennsylvania, USA. (Download).
• Seifi, S., & Picone, J. (2022). Pilot Experiments on Feature Importance Using the Rutgers COVID 1,058-Subject Pilot Database. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., & Picone, J. (2022). PFI-TT: Software for Automated Real-time Electroencephalogram Seizure Detection in Intensive Care Units. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J., Farkas, T., Obeid, I., & Persidsky, Y. (2021). MRI: High Performance Digital Pathology Using Big Data and Machine Learning. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., & Picone, J. (2021). CCRI: Planning: Development of a Community Resource for Digital Image Research. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., & Picone, J. (2021). PFI-TT: Software for Automated Real-time Electroencephalogram Seizure Detection in Intensive Care Units. Philadelphia, Pennsylvania, USA. (Download).
• Simons, J., Wevodau, Z., Doshna, B., Obeid, I., & Picone, J. (2021). The Temple University Hospital DPATH Corpus: Annotation Guidelines (p. 18). Temple University. (Download).
• Picone, J., Farkas, T., Obeid, I., & Persidsky, Y. (2020). MRI: High Performance Digital Pathology Using Big Data and Machine Learning. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., & Picone, J. (2020). CCRI: Planning: Development of a Community Resource for Digital Image Research. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., & Picone, J. (2020). PFI-TT: Software for Automated Real-time Electroencephalogram Seizure Detection in Intensive Care Units. Philadelphia, Pennsylvania, USA. (Download).
• Ferrell, S., Mathew, V., Refford, M., Tchiong, V., Ahsan, T., Obeid, I., & Picone, J. (2020). The Temple University Hospital EEG Corpus: Electrode Location and Channel Labels. Philadelphia, Pennsylvania, USA. (Download).
• Ochal, D., Rahman, S., Ferrell, S., Elseify, T., Obeid, I., & Picone, J. (2020). The Temple University Hospital EEG Corpus: Annotation Guidelines. Philadelphia, Pennsylvania, USA. (Download).
• Persidsky, Y., Farkas, T., Obeid, I., & Picone, J. (2019). MRI: High Performance Digital Pathology Using Big Data and Machine Learning. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., Picone, J., & Harabagiu, S. (2019). Automatic Discovery and Processing of EEG Cohorts from Clinical Records. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., & Picone, J. (2019). PFI-TT: Software for Automated Real-time Electroencephalogram Seizure Detection in Intensive Care Units. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. & Abboud B. (2019). PennDOT Agent Training Study. Philadelphia, Pennsylvania, USA. (Download).
• Ferrell, S., Jakielaszek, L., Elseify, T., & Picone, J. (2019). The Temple University Hospital EEG Corpus: Annotation File Formats. Philadelphia, Pennsylvania, USA. (Download).
• Persidsky, Y., Farkas, T., Obeid, I., & Picone, J. (2018). MRI: High Performance Digital Pathology Using Big Data and Machine Learning. Philadelphia, Pennsylvania, USA. (Download).
• Harabagiu, S., Obeid, I., & Picone, J. (2018). Scalable EEG interpretation using Deep Learning and Schema Descriptors. Philadelphia, Pennsylvania, USA. (Download).
• Coe, J., Abboud, B. and Picone, J. (2017). PennDOT: Highway Incident Timeline Detection. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., Picone, J. and Harabagiu, S. (2017). Automatic discovery and processing of EEG cohorts from clinical records. Philadelphia, Pennsylvania, USA. (Download).
• Golmohammadi, M. (2017). STTR Phase I: Real-time Automatic Analysis of Electroencephalograms in an Intensive Care Environment Using Deep Learning. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I. and Picone, J. (2016). NSF ICORPS Team: AutoEEG. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., Picone, J. and Harabagiu, S. (2016). Automatic discovery and processing of EEG cohorts from clinical records. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I. and Picone, J. (2016). The Neural Engineering Data Consortium: Building Community Resources to Advance Research. Philadelphia, Pennsylvania, USA. (Download).
• Golmohammadi, M. and Picone, J. (2016). STTR Phase I: Real-time Automatic Analysis of Electroencephalograms in an Intensive Care Environment Using Deep Learning (Progress: 20161101). Philadelphia, Pennsylvania, USA. (Download).
• Golmohammadi, M. and Picone, J. (2016). STTR Phase I: Real-time Automatic Analysis of Electroencephalograms in an Intensive Care Environment Using Deep Learning (Progress: 20161201). Philadelphia, Pennsylvania, USA. (Download).
• Won, C.-H. and Picone, J. (2016). TUES 1: Enhancing an Open Laboratory­Based Circuits Experience with a Virtual Laboratory Assistant. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I. and Picone, J. (2015). Neural Engineering Data Consortium. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I. and Picone, J. (2015). Big Data Archive for EEG Brain Machine Interface. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., Jacobson, M. and Picone, J. (2015). Automatic Generation of EEG Reports Using Deep Learning (Progress: 20150531). Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., Jacobson, M. and Picone, J. (2015). Automatic Generation of EEG Reports Using Deep Learning. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I. and Picone, J. (2014). Neural Engineering Data Consortium. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I., Jacobson, M. and Picone, J. (2014). Automatic Generation of EEG Reports Using Deep Learning. Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I. and Picone, J. (2014). Big Data Archive for EEG Brain Machine Interface. Philadelphia, Pennsylvania, USA. (Download).
• Picone, J. (2013). The Neural Engineering Data Consortium / Fundamentals of Speech Recognition (pp. 1-27). Philadelphia, Pennsylvania, USA. (Download).
• Obeid, I. and Picone, J. (2013). Big Data Archive for EEG Brain Machine Interface. Philadelphia, Pennsylvania, USA. (Download).
• Harati, A. and Picone, J. (2012). Keyword Search Assessment. Philadelphia, Pennsylvania, USA. (Download).
• Williams, C., Godbold, G. and Picone, J. (2009). Portable Medical Voice Recorder. Oxford, Mississippi, USA. (Download).
• Williams, C., Godbold, G. and Picone, J. (2009). Portable Medical Voice Recorder. Oxford, Mississippi, USA. (Download).
• Lazarou, G. and Picone, J. (2009). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
• Lazarou, G. and Picone, J. (2008). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
• Lazarou, G. and Picone, J. (2007). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2006). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2006). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
• Baca, J., Lazarou, G. and Picone, J. (2006). Faculty Activity Report. Mississippi State, Mississippi, USA. (Download).
• Lazarou, G. and Picone, J. (2006). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
• Baca, J., Lazarou, G. and Picone, J. (2005). Faculty Activity Report. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2005). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
• Picone, J. and Lazarou, G. (2005). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2004). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2003). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2002). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2002). Internet Accessible Speech Technology. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J. and Picone, J. (2002). A Proposal for a Standard Partitioning of the OGI Alphadigits Corpus. Mississippi State, Mississippi, USA. (Download).
• Parihar, N. and Picone, J. (2002). DSR Front End LVCSR Evaluation AU/384/02. Mississippi State, Mississippi, USA. (Download).
• Alphonso, I., Deitenbeck, E., Huang, K., Parihar, N. and Picone, J. (2001). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
• Zheng, F. and Picone, J. (2001). Robust Low Perplexity Voice Interfaces. Mississippi State, Mississippi, USA. (Download).
• Alphonso, I., Deitenbeck, E., Huang, K., Parihar, N. and Picone, J. (2001). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2001). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
• Zheng, F. and Picone, J. (2001). Robust Low Perplexity Voice Interfaces. Mississippi State, Mississippi, USA. (Download).
• Alphonso, I., Deitenbeck, E., Huang, K., Parihar, N. and Picone, J. (2001). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2001). Internet Accessible Speech Technology. Mississippi State, Mississippi, USA. (Download).
• Zheng, F. and Picone, J. (2001). Robust Low Perplexity Voice Interfaces. Mississippi State, Mississippi, USA. (Download).
• Deitenbeck, E., Jelinek, B., Parihar, N., Sundaram, R. and Picone, J. (2001). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
• Parihar, N. and Picone, J. (2001). DSR Front End LVCSR Evaluation - Baseline Recognition System Description. Mississippi State, Mississippi, USA. (Download).
• Roberts, C. and Picone, J. (2001). Bulldog Stock Exchange. Mississippi State, Mississippi, USA. (Download).
• Long, Z. and Picone, J. (2000). Application of Forest Image Analysis to Monitoring and Modeling of Psychological, Silvicultural, and Wildlife Habitat Attributes. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2000). Internet Accessible Speech Technology. Mississippi State, Mississippi, USA. (Download).
• Long, Z. and Picone, J. (2000). Application of Forest Image Analysis to Monitoring and Modeling of Psychological, Silvicultural and Wildlife Habitat Attributes. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (2000). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
• Aragh, J., Deitenbeck, E., Hamaker, J., Zheng, F. and Picone, J. (2000). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
• Zhao, J., Ganapathiraju, A., Mantha, V., Hamaker, J. and Picone, J. (2000). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
• Zhao, J., Sundaram, R., Mantha, V., Hamaker, J. and Picone, J. (2000). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A., Zhao, J., Hamaker, J. and Picone, J. (1999). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A., Zhao, J., Hamaker, J. and Picone, J. (1999). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A., Zhao, J., Hamaker, J. and Picone, J. (1999). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A., Zhao, J., Hamaker, J. and Picone, J. (1999). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A., Zhao, J., Hamaker, J. and Picone, J. (1999). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A., Deshmukh, N., Zhao, J., Zhang, X., Wu, Y., Hamaker, J. and Picone, J. (1999). The ISIP Public Domain Decoder for Large Vocabulary Conversational Speech Recognition. Mississippi State, Mississippi, USA. (Download).
• Long, Z. and Picone, J. (1999). Applications of High Performance Statistical Modeling to Image Analysis of Forest Structure. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A., Deshmukh, N., Zhao, J., Zhang, X., Wu, Y., Hamaker, J. and Picone, J. (1999). The ISIP Public Domain Decoder for Large Vocabulary Conversational Speech Recognition. Mississippi State, Mississippi, USA. (Download).
• Long, Z. and Picone, J. (1999). Application of Forest Image Analysis to Monitoring and Modeling of Psychological, Silvicultural, and Wildlife Habitat Attributes. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A., Deshmukh, N., Zhao, J., Zhang, X., Wu, Y., Hamaker, J. and Picone, J. (1999). The ISIP Public Domain Decoder for Large Vocabulary Conversational Speech Recognition. Mississippi State, Mississippi, USA. (Download).
• Long, Z. and Picone, J. (1999). Applications of High Performance Statistical Modeling to Image Analysis of Forest Structure. Mississippi State, Mississippi, USA. (Download).
• Duncan, R. and Picone, J. (1999). A UNIX Based Telephone Speech Data Collection System. Mississippi State, Mississippi, USA. (Download).
• Mantha, V., Hamaker, J., Deshmukh, N., Ganapathiraju, A. and Picone, J. (1999). Improved Monosyllabic Word Modeling on Switchboard. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1999). Internet Accessible Speech Technology. Mississippi State, Mississippi, USA. (Download).
• Zhao, J., Hamaker, J., Deshmukh, N., Ganapathiraju, A. and Picone, J. (1999). Fast Recognition Techniques for Large Vocabulary Speech Recognition. Mississippi State, Mississippi, USA. (Download).
• Deshmukh, N., Ganapathiraju, A., Hamaker, J. and Picone, J. (1998). An Efficient Public Domain LVCSR Decoder. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J., Deshmukh, N., Ganapathiraju, A. and Picone, J. (1998). Improved Monosyllabic Word Modeling. Mississippi State, Mississippi, USA. (Download).
• Deshmukh, N., Ganapathiraju, A., Hamaker, J. and Picone, J. (1998). An Efficient Public Domain LVCSR Decoder. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J., Deshmukh, N., Ganapathiraju, A. and Picone, J. (1998). Improved Monosyllabic Word Modeling. Mississippi State, Mississippi, USA. (Download).
• Balakrishnama, S. and Ganapathiraju, A. (1998). Linear Discriminant Analysis - A Brief Tutorial. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A. (1998). Support Vector Machines - A First Look. Mississippi State, Mississippi, USA. (Download).
• Kalidindi, N., Ramani, V. and Picone, J. (1998). Scenic Beauty Estimation of Forestry Images. Mississippi State, Mississippi, USA. (Download).
• Ramani, V. and Picone, J. (1998). Applications of High Performance Statistical Modeling to Image Analysis of Forest Structure. Mississippi State, Mississippi, USA. (Download).
• Shaffer, J., Deshmukh, N., Ganapathiraju, A., Hamaker, J. and Picone, J. (1998). Revised Switchboard Transcription Conventions. Mississippi State, Mississippi, USA. (Download).
• Zhao, J., Hamaker, J. and Picone, J. (1998). Fast Recognition Techniques for Large Vocabulary Recognition. Mississippi State, Mississippi, USA. (Download).
• Brown, R., Balakrishnama, S. and Picone, J. (1997). Scenic Beauty Estimation using Linear Discriminant Analysis. Mississippi State, Mississippi, USA. (Download).
• Deshmukh, N., Le, A. and Picone, J. (1997). Advances in Automatic Generation of Multiple Pronunciations for Proper Nouns. Mississippi State, Mississippi, USA. (Download).
• Ganapathiraju, A., Hamaker, J., Picone, J. and Skjellum, A. (1997). Analysis and Characterization of Fast Fourier Transform Algorithms. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J. and Picone, J. (1997). Interactive Frequency Response Analysis of Linear Systems Using Poles and Zeros. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J., Ganapathiraju, A. and Picone, J. (1997). Syllable-Based Speech Recognition. Mississippi State, Mississippi, USA. (Download).
• Kalidindi, N. and Picone, J. (1997). Scenic Beauty Estimation of Forestry Images. Mississippi State, Mississippi, USA. (Download).
• Ngan, J. and Picone, J. (1997). An Automatic Pronunciation Dictionary Database Generation Tool. Mississippi State, Mississippi, USA. (Download).
• Shaffer, J. and Picone, J. (1997). Spectrum Analysis Using Java. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J., Duncan, R. and Picone, J. (1996). The JEIDA Common Speech Data Corpus. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1996). Preparation of the JEIDA Japanese Common Speech Data Corpus. Mississippi State, Mississippi, USA. (Download).
• Hamaker, J., Duncan, R. and Picone, J. (1996). The JEIDA Common Speech Data Corpus (Users Guide). Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1996). A Sun Sparcstation-Based Speech Data Collection Platform (01/31/1996). Mississippi State, Mississippi, USA. (Download).
• Deshmukh, N. and Picone, J. (1996). Automatic Generation of N-Best Proper Noun Pronunciations. Mississippi State, Mississippi, USA. (Download).
• Kalidindi, N., Le, A. and Picone, J. (1996). The USFS Scenic Beauty Estimation Database. Mississippi State, Mississippi, USA. (Download).
• Weber, M. and Picone, J. (1996). Voice Interface to an On-Line Dictionary. Mississippi State, Mississippi, USA. (Download).
• Wheeler, E. and Picone, J. (1996). Graphical Convolution in Java. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1995). Preparation of the JEIDA Japanese Common Speech Data Corpus (09/30/1995). Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1995). A Sun Sparcstation-Based Speech Data Collection Platform. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1995). Preparation of the JEIDA Japanese Common Speech Data Corpus (06/30/1995). Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1995). A Sun Sparcstation-Based Speech Data Collection Platform (06/30/1995). Mississippi State, Mississippi, USA. (Download).
• Kojima, M., Picone, J. and Kato, S. (1992). The Japanese Voice Dialer Database (pp. 1-15). Tsukuba, Japan. (Download).
• Picone, J., Staples, T. and Kondo, K. (1992). A Statistical Approach to Kanji to Hiragana Conversion (pp. 1-21). Tsukuba, Japan. (Download).
• Picone, J. (1991). On the Precision Requirements of Signal Interpolators For High Quality Audio Systems (pp. 1-43). Dallas, Texas, USA. (Download).
• Picone, J. and Wheatley, B. (1991). A Specification For A Digital Audio Interface (pp. 1-14). Dallas, Texas, USA. (Download).
• Picone, J., Wheatley, B. and McDaniel, J. (1991). On the Intelligibility of Text-To-Speech Synthesis of Surnames (pp. 1-34). Dallas, Texas, USA. (Download).
• Long, Z. and Picone, J. (1990). Applications of High Performance Statistical Modeling to Image Analysis of Forest Structure. Mississippi State, Mississippi, USA. (Download).
• Picone, J. (1989). A Functional Specification for SDF_SOFT: Speech Data File Software (pp. 1-12). Dallas, Texas, USA. (Download).
• Picone, J. (1989). A Functional Specification for SDB_SOFT: Speech Database Software (pp. 1-3). Dallas, Texas, USA. (Download).
• Picone, J. (1988). Towards an Integrated Research and Development Environment for Signal Processing (pp. 1-18). Dallas, Texas, USA. (Download).

Web Pages:

• Picone, J. (2009). Department Chair Welcome Message. Department of Electrical and Computer Engineering, College of Engineering, Temple University. (Download).
• McHugh, J. R., Picone, J., & Obeid, I. (2017). The TUH EEG Epilepsy Corpus. (Download).
• Choi, S. I., Lopez, S., Obeid, I., Jacobson, M., & Picone, J. (2017). The Temple University Hospital EEG Corpus. (View).
• Bergey, S., & Picone, J. (2017). A Description of the EDF Header. (Download).

Unpublished Books:

• Harati, A., Ma, T., Srinivasan, S., Lazarou, G. Y., & Picone, J. (Eds.). (2014). Nonlinear Statistics for Acoustic Modeling in Speech Recognition (1st ed.). (Download).
• Picone, J. (2008). Statistical Optimization in Speech Recognition (1st ed.). (Download).

Unpublished Book Sections:

• Shah, V., Obeid, I., Picone, J., Ekladious, G., Iskander, R., and Roy, Y. (2022). The Neureka 2020 Epilepsy Challenge. In I. Obeid, I. Selesnick, & J. Picone (Eds.), Biomedical Signal Processing: Innovation and Applications (Download).

Unpublished Journals (Refereed):

• Shah, V., von Weltin, E., Ahsan, T., Ziyabari, S., Golmohammadi, M., Obeid, I. and Picone, J. (2019). On the Use of Non-Experts for Generation of High-Quality Annotations of Seizure Events. Clinical EEG and Neuroscience. (Download).
• Shah, V., von Weltin, E., Ahsan, T., Ziyabari, S., Golmohammadi, M., Obeid, I. and Picone, J. (2019). On the Use of Non-Experts for Generation of High-Quality Annotations of Seizure Events. Journal of Clinical Neurophysiology. (Download).
• Shah, V., Golmohammadi, M., Obeid, I., & Picone, J. (2019). Objective evaluation metrics for automatic classification of EEG events. Journal of Neural Engineering, 1–21. (Download).
• Golmohammadi, M., Harati, A., Lopez, S., Obeid, I. and Picone, J. (2018). Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures. Journal of Clinical Neurophysiology, 1-30. (Download).
• Saleheen, F., Butz, B., Picone, J. and Won, C.-H. (2016). A Virtual Teaching Assistant for an Open Circuits Laboratory. ASEE Journal of Engineering Education. (Download).
• Saleheen, F., Butz, B., Picone, J. and Won, C.-H. (2016). A Web-based Virtual Teaching Assistant for an Open Circuits Laboratory: Design, Implementation and Outcome Evaluation. Journal of Computer-Aided Education. (Download).
• Saleheen, F., Butz, B., Picone, J. and Won, C.-H. (2015). Effectiveness of Virtual Teaching Assistant Software for Circuits Open Laboratory. IEEE Transactions on Education. (Download).
• Harati, A. and Picone, J. (2015). A Doubly Hierarchical Dirichlet Process Hidden Markov Model with a Non-Ergodic Structure. IEEE Transactions on Pattern Analysis and Machine Intelligence. (Download).
• Parker, D., Picone, J., Harati, A., Lu, S., Jenkyns, M. and Polgreen, P. (2012). Detecting Pertussis Cases Using Voice Recognition Technology. Journal of Infectious Disease. (Download).
• Harati, A. and Picone, J. (2012). Predicting Search Words Performance for Spoken Term Detection Systems. IEEE Transactions on Audio, Speech and Language Processing. (Download).
• Srinivasan, S., Ma, T., Lazarou, G. and Picone, J. (2010). Robust Speaker Verification Using a Nonlinear Autoregressive Model. IEEE Signal Processing Letters. (Download).
• Srinivasan, S., Ma, T., Lazarou, G. and Picone, J. (2010). A Nonlinear Mixture Autoregressive Model for Speaker Verification. IEEE Transactions on Audio, Speech and Language Processing. (Download).
• Ma, T., Srinivasan, S., May, D., Lazarou, G. and Picone, J. (2010). Continuous Speech Recognition Using Linear Dynamic Models. IEEE Signal Processing Letters. (Download).
• Ma, T., Srinivasan, S., May, D., Lazarou, G. and Picone, J. (2009). Robust Speech Recognition Using Linear Dynamic Models. IEEE Signal Processing Letters. (Download).
• Baca, J., Brown, D., Lazarou, G. and Picone, J. (2006). Integrating a Spoken Dialogue Tutor with Adaptive E-Learning: A Framework for Remediation. Journal of Advanced Technology for Learning. (Download).
• Crocker, M., Carver, J. and Lazarou, G. (2006). Using Software Architecture for Discrete Event Network Simulation Design and Validation. International Journal of Modelling and Simulation. (Download).
• Crocker, M., Lazarou, G., Baca, J. and Picone, J. (2006). A Bandwidth Determination Method for IPv6-based Networks. The International Journal of Computer and Telecommunications Networking. (Download).
• Crocker, M., Lazarou, G., Picone, J. and Baca, J. (2005). Improved Bandwidth Estimations using the IPv6 Hop-by-Hop Extension Header. IEEE Network Magazine. (Download).
• Crocker, M., Lazarou, G., Picone, J. and Baca, J. (2005). Improved Bandwidth Estimations Using the IPv6 Hop-by-Hop Extension Header. International Journal of Computer Science and Network Security. (Download).
• Baca, J., Holland, W. and Picone, J. (2005). Language Model Grammar Conversion. IEEE Transactions on Speech and Audio Processing. (Download).
• Greeley, H., Berg, J., Friets, E., Wilson, J., Raghavan, S. and Picone, J. (2005). Speech Recognition-Based Fatigue Detection. IEEE Transactions on Speech and Audio Processing. (Download).
• Parihar, N. and Picone, J. (2005). Analysis of the Aurora Large Vocabulary Evaluation. GESTS International Transactions on Speech Science and Engineering. (Download).
• Baca, J., Brown, D. and Picone, J. (2004). Spoken Language Dialog Systems for E-learning Applications. International Journal of Science and Technology. (Download).
• Selvaraj, M., Lazarou, G. and Hu, R. (2004). Simultaneous and Proportional Bandwith, Delay and Loss Differentiation. Computer Communication Review (ACM SIGCOMM). (Download).
• Baranski, J., Crocker, M. and Lazarou, G. (2003). A Comprehensive Fault-Tolerant Ethernet-Based IP Network Design. IEEE Communications Magazine. (Download).
• Picone, J., Hamaker, J. and Ganapathiraju, A. (2003). Risk Minimization in Signal Processing. Proceedings of the IEEE. (Download).
• Ganapathiraju, A., Hamaker, J. and Picone, J. (2002). Applications of Support Vector Machines to Speech Recognition. IEEE Transactions on Speech and Audio Processing. (Download).
• Hamaker, J. and Picone, J. (2002). Advances in Speech Recognition Using Sparse Bayesian Methods. IEEE Transactions on Speech and Audio Processing. (Download).
• Ganapathiraju, A., Hamaker, J. and Picone, J. (2001). Continuous Speech Recognition Using Support Vector Machines. Computer Speech and Language. (Download).
• Price, P. and Picone, J. (2000). Automatic Speech Recognition: Better Than Text? The Sciences. (Download).
• Kalidindi, N., Ganapathiraju, A. and Picone, J. (1999). Support Vector Machines for Scenic Beauty Estimation. IEEE Transactions on Image Processing. (Download).
• Ganapathiraju, A., Hamaker, J., Skjellum, A. and Picone, J. (1997). A Comparative Analysis of FFT Algorithms. IEEE Transactions on Speech and Audio Processing. (Download).
• Deshmukh, N. and Picone, J. (1996). Automatic Generation of N-Best Pronunciations of Proper Nouns. IEEE Transactions on Speech and Audio Processing. (Download).
• Picone, J., Doddington, G. and Secrest, B. (1986). The Integrated Correlation Pitch Detector (pp. 1-25). IEEE Transactions on Acoustics, Speech and Signal Processing. Dallas, Texas, USA. (Download).

Unpublished Conference Proceedings:

• Babaei, M., Meng, P., Shalamzari, S. S., & Picone, J. (2023). Accelerating Generalization: Unveiling the Power of QRBM for Efficient Data Modeling with Limited Training Data. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium, 1–6. (Download).
• Shah, V., Campbell, C., Obeid, I., & Picone, J. (2020). Improved Spatio-Temporal Modeling in Automated Seizure Detection using Channel-Dependent Posteriors. Proceedings of the International Conference on Machine Learning (ICML), (p. 1). Vienna, Austria. (Download).
• Mathew, V., Rahman, S., Seo, R., Obeid, I., & Picone, J. (2018). Age and Gender Effects On Electroencephalograms. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–5). Philadelphia, Pennsylvania, USA. (Download).
• Ochal, D., Ahsan, T., Refford, M., Tchiong, V., Picone, J., & Obeid, I. (2018). The Effects Of Anticonvulsants on the Morphology And Detection of Seizures. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1–2). Philadelphia, Pennsylvania, USA. (Download).
• Jungreis, D., Capp, N., Golmohammadi, M. and Picone, J. (2018). Predicting Endogenous Bank Health from FDIC Statistics on Depository Institutions using Deep Learning. Proceedings of the Hawaii International Conference on System Sciences (HICSS) (pp. 1–5). Wailea, Hawaii, USA. (Download).
• Golmohammadi, M., Ziyabari, S., Shah, V., Lopez, S., Obeid, I. and Picone, J. (2018). Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. Proceedings of the International Conference on Machine Learning (ICML) (pp. 1–9). Stockholm, Sweden. (Download).
• Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I. and Picone, J. (2018). Deep Architectures for Automated Seizure Detection in Scalp EEGs. Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) (pp. 1-9). New Orleans, Louisiana, USA. (Download).
• Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I. and Picone, J. (2017). Deep Architectures for Automated Seizure Detection in Scalp EEGs. Proceedings of the Conference on Neural Information Processing Systems (NIPS) (pp. 1-8). Long Beach, California, USA: The NIPS Foundation. (Download).
• Golmohammadi, M., Lopez, S., Gross, A. Andrade, M., Shah, V., Obeid, I. and Picone, J. (2017). Automatic Seizure Detection Using Supervectors. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-6). Shanghai, China. (Download).
• Harati Nejad Torbati, A. and Picone, J. (2016). A Doubly Hierarchical Dirichlet Process HMM for Acoustic Modeling. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). Shanghai, China. (Download).
• Lazarou, G., Alam, M. and Picone, J. (2016). Measuring the Variability of CAIDA Internet Traffic Traces. Proceedings of the International Conference on Computer and Information Technology (ICCIT) (p. 4). Dhaka, Bangladesh. (Download).
• Harati Nejad Torbati, A. H. and Picone, J. (2015). Doubly Hierarchical Dirichlet Process HMM for Acoustic Modeling. Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (pp. 1-7). Scottsdale, Arizona, USA. (Download).
• Steinberg, J., Harati, A. and Picone, J. (2013). A Comparative Analysis of Bayesian Nonparametric Inference Algorithms for Acoustic Modeling in English and Mandarin Speech Recognition. Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH). Lyon, France. (Download).
• Harati, A., Picone, J. and Sobel, M. (2013). Speech Segmentation Using Hierarchical Dirichlet Processes. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Vancouver, Canada. (Download).
• Harati, A., Picone, J. and Sobel, M. (2013). A Left-to-Right HDP-HMM with HDPM Emissions. Proceedings of the Neural Information Processing Systems Conference (NIPS) (pp. 1-7). Lake Tahoe, Nevada, USA. (Download).
• Harati, A. and Picone, J. (2012). Assessing Search Term Strength in Spoken Term Detection. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Kyoto, Japan. (Download).
• Harati, A. and Picone, J. (2012). Assessing Search Term Strength in Spoken Term Detection. Proceedings of the IEEE Statistical Signal Processing Workshop. Ann Arbor, Michigan, USA. (Download).
• Harati, A. and Picone, J. (2012). Assessing Search Term Strength in Spoken Term Detection. Proceedings of the Military Communications Conference. Orlando, Florida, USA. (Download).
• Srinivasan, S., Ma, T., May, D., Lazarou, G. and Picone, J. (2009). A Nonlinear Mixture Autoregressive Model for Speaker Recognition. Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH). Brighton, U.K. (Download).
• May, D., Srinivasan, S., Ma, T., Lazarou, G. and Picone, J. (2008). Continuous Speech Recognition Using Nonlinear Dynamical Invariants. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Las Vegas, Nevada, USA. (Download).
• May, D., Srinivasan, S., Ma, T., Lazarou, G. and Picone, J. (2008). Continuous Speech Recognition Using Nonlinear Dynamical Invariants. Proceedings of the Association for Computational Linguistics: Human Language Technology Conference. Columbus, Ohio. (Download).
• May, D., Srinivasan, S., Ma, T., Lazarou, G. and Picone, J. (2008). Continuous Speech Recognition Using Nonlinear Dynamical Invariants. Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH). Brisbane, Australia. (Download).
• Ma, T. (2008). Robust Speech Recognition Using Linear Dynamic Models. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Las Vegas, Nevada, USA. (Download).
• May, D., Srinivasan, S., Ma, T., Lazarou, G. and Picone, J. (2007). Continuous Speech Recognition Using Nonlinear Dynamical Invariants. Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH). Antwerpe, Belgium. (Download).
• Baca, J., Holland, W., Duncan, D. and Picone, J. (2006). Language Model Grammar Conversion. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Toulouse, France. (Download).
• Baca, J., Stanley, T., Elliot, M. and Picone, J. (2006). Enhancements to the DARPA Communicator Architecture. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Toulouse, France. (Download).
• Greeley, H., Berg, J., Friets, E., Wilson, J., Raghavan, S. and Picone, J. (2006). Detecting Fatigue From Voice Using Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Toulouse, France. (Download).
• Pannuri, M., Holland, W., Baca, J., Lazarou, G. and Picone, J. (2006). Grammar Transformations in Speech Recognition. Proceedings of IEEE Southeastcon. Memphis, Tennessee, USA. (Download).
• Prasad, S., Srinivasan, S. and Picone, J. (2006). Reconstructed Phase Space of a Vector Time Series. Proceedings of the European Signal Processing Conference. Florence, Italy. (Download).
• Gao, H., Duncan, R., Baca, J. and Picone, J. (2005). The Development of General-Purpose Signal Processing Tools. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Philadelphia, Pennsylvania, USA. (Download).
• Gao, W., Porandla, S., Musunuri, S., Neema, S. and Gray, J. (2005). Optimization of Powertrain Designs Using Domain-Specific Modeling. Proceedings of the International Conference on Software Engineering. St. Louis, Missouri, USA. (Download).
• Jenkins, W., Lewis, R., Lazarou, G., Picone, J. and Rowland, Z. (2005). Integrating Vehicle Performance Monitoring with Existing Wireless Technology. Proceedings of International IEEE Intelligent Transportation Systems Conference. Vienna, Austria. (Download).
• Gao, H., Duncan, R., Baca, J. and Picone, J. (2004). Signal Processing Tools for Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Montreal, Quebec, Canada. (Download).
• Gao, H., Duncan, R., Baca, J. and Picone, J. (2004). Signal Processing Tools for Speech Recognition. Proceedings of the European Signal Processing Conference. Vienna, Austria. (Download).
• Alphonso, I. and Picone, J. (2004). Network Training For Continuous Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Montreal, Quebec, Canada. (Download).
• Brocato, J. and Picone, J. (2004). Writing While Designing: Combining ECE Senior Design with an Existing Technical Writing Course. American Society for Engineering Education Annual Conference and Exposition. Salt Lake City, Utah, USA. (Download).
• Hu, R., Hu, W. and Lazarou, G. (2004). A backup path wavelength rearrangement scheme in an all optical network. Proceedings of IEEE INFOCOM. Hong Kong. (Download).
• Parihar, N., Picone, J., Pearce, D. and Hirsch, H.-G. (2004). Performance Analysis of the Aurora Large Vocabulary Baseline System. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Montreal, Quebec, Canada. (Download).
• Gao, H., Duncan, R., Baca, J. and Picone, J. (2003). Signal Processing Tools for Speech Recognition. Proceedings of the European Conference on Speech Communication and Technology. Geneva, Switzerland. (Download).
• Parihar, N., Picone, J., Pearce, D. and Hirsch, H.-G. (2003). Performance Analysis of the Aurora Large Vocabulary Baseline System. Proceedings of the European Conference on Speech Communication and Technology. Geneva, Switzerland. (Download).
• Ganapathiraju, A., Hamaker, J. and Picone, J. (2002). A Stand-Alone System for SVM Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Orlando, Florida, USA. (Download).
• Harabagiu, S., Picone, J. and Moldovan, D. (2002). Voice Activated Question Answering. Proceedings of the Human Language Technology Conference. San Diego, California, USA. (Download).
• Necioglu, B., George, B., Shuttic, G., Sundaram, R. and Picone, J. (2001). An Interoperability Study of Speech Enhancement and Speech Recognition Systems. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Salt Lake City, Utah. (Download).
• Ganapathiraju, A. and Picone, J. (2000). Hybrid SVM/HMM architectures for speech recognition. Proceedings of Neural Information Processing Systems. Denver, Colorado, USA. (Download).
• Alphonso, I. and Picone, J. (1999). Rapid Prototyping of Signal Processing Algorithms. Proceedings of IEEE Southeastcon. Lexington, Kentucky, USA. (Download).
• Deshmukh, N., Ganapathiraju, A., Hamaker, J. and Picone, J. (1999). A Public Domain Decoder for Large Vocabulary Conversational Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Phoenix, Arizona, USA. (Download).
• Baca, J. and Picone, J. (1998). Effects of Interface Modality on Speaker Prosodics. Proceedings of the International Conference on Spoken Language Processing. Sydney, Australia. (Download).
• Burnham, J., Hardy, J., Meadors, K. and Picone, J. (1998). A Comparison of the Roberts, Sobel, Robinson, Canny and Hough Image Detection Algorithms. Proceedings of IEEE Southeastcon. Orlando, Florida, USA. (Download).
• Le, A., Ngan, J., Shaffer, J., Ganapathiraju, A. and Picone, J. (1998). A Comparison of Classification Algorithms on Highly Nonlinear Signal Processing Problems. Proceedings of IEEE Southeastcon. Orlando, Florida, USA. (Download).
• Duncan, R. and Picone, J. (1996). A Digital Telephone Interface For Speech Research. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. TBD). Atlanta, Georgia, USA. (Download).
• Picone, J. and Kondo, K. (1993). A Phonetically Balanced Sentence Database for Japanese Language Continuous Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-4). Minneapolis, Minnesota, USA. (Download).
• Andrews, M. and Picone, J. (1990). SVD Based Estimation of Speech Spectra. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-4). Albuquerque, New Mexico, USA. (Download).
• Doddington, G., Picone, J., Talkin, D. and Pallett, D. (1989). An Object-Oriented Speech Data File Software System. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-4). Glasgow, Scotland. (Download).
• Strowbridge, C. and Picone, J. (1989). On Choosing Recognition Units for Large Vocabularies With Limited Training. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-4). Glasgow, Scotland. (Download).
• Morrison, R. and Picone, J. (1988). Evaluation of Three Distance Measures for Speaker Independent Recognition in Telecommunications Services. Proceedings of the IEEE Global Communications Conference (pp. 1-4). Hollywood, Florida, USA. (Download).
• Picone, J., Rajasekaran, P., Doddington, G. and Fisher, W. (1988). Grammar Constrained Continuous Speech Recognition. Proceedings of the Government Microcircuit and Applications Conference (GOMAC) (pp. 1-4). Las Vegas, Nevada, USA. (Download).

Unpublished Conference Presentations:

• Somaru, P., Obeid, I. and Picone, J. (2016). Low-Cost High- Performance Computing Via Consumer GPUs. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Thiess, M., Krome, E., Golmohammadi, M., Obeid, I. and Picone, J. (2016). Enhanced Visualizations for Improved Real-Time EEG Monitoring. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Gross, A., Lopez, S., Obeid, I. and Picone, J. (2016). Statistical Comparison of REF vs. LE Referenced EEG Signals. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• McHugh, J. R., Ziyabari, S., Golmohammadi, M., Obeid, I. and Picone, J. (2016). Integrated Feature Extraction for HMM-Based Recognition Systems. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Andrade, M., Shah, V., Lopez, S., Golmohammadi, M., Obeid, I. and Picone, J. (2016). Real-time Seizure Detection Using Hidden Markov Models. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Golmohammadi, M. (2015). AutoEEG: Automatic Interpretation of EEGs Using Big Data. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
• Da Rocha Garrit, P. H., Guimaraes Moura, A., Obeid, I. and Picone, J. (2015). Wavelet Analysis for Feature Extraction on EEG Signals. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Trejo, D., Obeid, I. and Picone, J. (2015). Affordable Supercomputing Using Open Source Software. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
• Guimaraes Moura, A., Obeid, I. and Picone, J. (2015). Feature Extraction Methods for EEG Event Detection. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Suarez, G., Macedo Soares, J., Lopez, S., Obeid, I. and Picone, J. (2015). A Machine Learning Approach to Automated Identification of Abnormal EEGs. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Jungreis, D., Jacobson, M., Obeid, I. and Picone, J. (2015). Computer Detection of Abnormal Electroencephalography. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
• Lopez, S., Obeid, I. and Picone, J. (2015). The Temple University Hospital EEG Corpus (TUH EEG). Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
• Lopez, S., Harati, A., Obeid, I. and Picone, J. (2014). Automatic Interpretation of EEGs Using Big Data. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
• Harati, A. and Picone, J. (2013). Assessing Search Term Strength in Spoken Term Detection. Temple University College of Engineering E-Week Poster Competition. (Download).
• Lu, S. and Picone, J. (2013). Fingerspelling Recognition based on Sub-gesture Hidden Markov Models. Temple University College of Engineering E-Week Poster Competition. (Download).
• Steinberg, J. and Picone, J. (2013). Variational Inference Algorithms for Acoustic Modeling in Speech Recognition. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
• Lu, S. and Picone, J. (2012). A Review of American Sign Language (ASL) Recognition. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
• Steinberg, J. and Picone, J. (2012). An Introduction to Mandarin Speech Recognition. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
• Harati, A. and Picone, J. (2011). Application of Particle Swarm Optimization to Parameter Estimation for Hidden Markov Models. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
• Harati, A. and Picone, J. (2010). Quality Assessment For Search Terms in Spoken Term Detection (STD) Systems. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).

Unpublished PhD Dissertations:

• Shawki, N. (2023). Cancer Detection in Partially Annotated Whole Slide Images using Transfer and Self-Supervised Learning [Phd_dissertation, Temple University]. (Download).
• Hamaker, J. (2002). Sparse Bayesian Methods for Continuous Speech Recognition. Mississippi State University. (Download).
• Deshmukh, N. (1999). Maximum Likelihood Estimation of Multiple Pronunciations for Proper Nouns. Mississippi State University. (Download).

Unpublished MS Theses:

• Zeng, F. (2003). The Design and Implementation of Real-time Systems . Mississippi State University. (Download).
• Zhao, J. (2000). Network and N-Gram Decoding in Speech Recognition. Temple University. (Download).
• Mantha, V. (2000). Switchboard. Mississippi State University. (Download).
• Hamaker, J. (1999). Advances in Speech Recognition Technology Through Corpus Development. Mississippi State University. (Download).