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Joseph Picone

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Joseph Picone

  • College of Engineering

    • Electrical and Computer Engineering

      • Professor

Labs: Signal and Information Processing (ISIP) Lab

Research Interests

  • Machine Learning

Courses Taught

Number

Name

Level

ECE 1111

Engineering Computation I

Undergraduate

ECE 4527

Introduction to Machine Learning and Pattern Recognition

Undergraduate

ECE 4822

Engineering Computation IV

Undergraduate

ECE 8110

Special Topics in Electrical and Computer Engineering

Graduate

ECE 8527

Introduction to Machine Learning and Pattern Recognition

Graduate

Selected Publications

Recent

  • Roy, S., Kiral, I., Mirmomeni, M., Mummert, T., Braz, A., Tsay, J., Tang, J., Asif, U., Schaffter, T., Ahsen, M., Iwamori, T., Yanagisawa, H., Poonawala, H., Madan, P., Qin, Y., Picone, J., Obeid, I., Marques, B., Maetschke, S., 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, 66. doi: 10.1016/j.ebiom.2021.103275.

  • Rahman, S., Hamid, A., Ochal, D., Obeid, I., & Picone, J. (2020). Improving the Quality of the TUSZ Corpus. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353635.

  • 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. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353647.

  • Shawki, N., Elseify, T., Cap, T., Shah, V., Obeid, I., & Picone, J. (2020). A Deep Learning-Based Real-time Seizure Detection System. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353623.

  • Shah, V., Obeid, I., Picone, J., Ekladious, G., Iskander, R., & Roy, Y. (2020). Validation of Temporal Scoring Metrics for Automatic Seizure Detection. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353631.

  • Islam, S., Shah, V., Gidde, S., Hutapea, P., Song, S., Picone, J., & Kim, A. (2020). A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System. IEEE Transactions on Biomedical Engineering, 67(12), 3521-3530. doi: 10.1109/TBME.2020.2990071.

  • Rahman, S., Miranda, M., Obeid, I., & Picone, J. (2019). Software and Data Resources to Advance Machine Learning Research in Electroencephalography. 2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings. doi: 10.1109/SPMB47826.2019.9037851.

  • Hunt, I., Husain, S., Simon, J., Obeid, I., & Picone, J. (2019). Recent Advances in the Temple University Digital Pathology Corpus. 2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings. doi: 10.1109/SPMB47826.2019.9037859.

  • Jean-Paul, S., Elseify, T., Obeid, I., & Picone, J. (2019). Issues in the Reproducibility of Deep Learning Results. 2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings. doi: 10.1109/SPMB47826.2019.9037840.

  • Golmohammadi, M., Torbati, A.H.N., Diego, S.L.d., Obeid, I., & Picone, J. (2019). Automatic analysis of EEGs using big data and hybrid deep learning architectures. Frontiers in Human Neuroscience, 13. doi: 10.3389/fnhum.2019.00076.

  • Campbell, C., Mecca, N., Duong, T., Obeid, I., & Picone, J. (2019). Expanding an HPC Cluster to Support the Computational Demands of Digital Pathology. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615614.

  • Capp, N., Campbell, C., Elseify, T., Obeid, I., & Picone, J. (2019). Optimizing EEG Visualization Through Remote Data Retrieval. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615613.

  • Shah, V., Anstotz, R., Obeid, I., & Picone, J. (2019). Adapting an Automatic Speech Recognition System to Event Classification of Electroencephalograms 1. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615625.

  • Houser, D., Shadhin, G., Anstotz, R., Campbell, C., Obeid, I., Picone, J., Farkas, T., Persidsky, Y., & Jhala, N. (2019). The Temple University Hospital Digital Pathology Corpus. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615619.

  • Ferrell, S., Weltin, E.V., Obeid, I., & Picone, J. (2019). Open Source Resources to Advance EEG Research. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615622.

  • Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I., & Picone, J. (2019). Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, 745-750. doi: 10.1109/ICMLA.2018.00118.

  • Jungreis, D., Capp, N., Golmohammadi, M., & Picone, J. (2019). Predicting Endogenous Bank Health from FDIC Statistics on Depository Institutions Using Deep Learning. Advances in Intelligent Systems and Computing, 997, 563-572. doi: 10.1007/978-3-030-22871-2_38.

  • Shah, V., Weltin, E.v., Lopez, S., McHugh, J., Veloso, L., Golmohammadi, M., Obeid, I., & Picone, J. (2018). The temple university hospital seizure detection corpus. Frontiers in Neuroinformatics, 12. doi: 10.3389/fninf.2018.00083.

  • Saleheen, F., Wang, Z., Picone, J., Butz, B., & Won, C. (2018). Efficacy of a virtual teaching assistant in an open laboratory environment for electric circuits. Advances in Engineering Education, 6(3), 1-27.

  • Campbell, C., Mecca, N., Obeid, I., & Picone, J. (2017). The Neuronix HPC cluster: Cluster management using free and open source software tools. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, 1-3. doi: 10.1109/SPMB.2017.8257042.

  • Capp, N., Krome, E., Obeid, I., & Picone, J. (2017). Facilitating the annotation of seizure events through an extensible visualization tool. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, 1-3. doi: 10.1109/SPMB.2017.8257043.

  • Veloso, L., McHugh, J., Weltin, E.V., Lopez, S., Obeid, I., & Picone, J. (2017). Big data resources for EEGs: Enabling deep learning research. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, 1-3. doi: 10.1109/SPMB.2017.8257044.

  • Weltin, E.V., Ahsan, T., Shah, V., Jamshed, D., Golmohammadi, M., Obeid, I., & Picone, J. (2017). Electroencephalographic slowing: A primary source of error in automatic seizure detection. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, 1-5. doi: 10.1109/SPMB.2017.8257018.

  • Shah, V., Golmohammadi, M., Ziyabari, S., Weltin, E.V., Obeid, I., & Picone, J. (2017). Optimizing channel selection for seizure detection. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, 1-5. doi: 10.1109/SPMB.2017.8257019.

  • Golmohammadi, M., Ziyabari, S., Shah, V., Weltin, E.V., Campbell, C., Obeid, I., & Picone, J. (2017). Gated recurrent networks for seizure detection. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, 1-5. doi: 10.1109/SPMB.2017.8257020.

  • Lazarou, G., Alam, M., & Picone, J. (2017). Measuring the variability of CAIDA internet traffic traces. 19th International Conference on Computer and Information Technology, ICCIT 2016, 1-6. doi: 10.1109/ICCITECHN.2016.7860158.

  • Somaru, P., Obeid, I., & Picone, J. (2017). Low-cost high-performance computing via consumer GPUs. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. doi: 10.1109/SPMB.2016.7846867.

  • Lopez, S., Gross, A., Yang, S., Golmohammadi, M., Obeid, I., & Picone, J. (2017). An analysis of two common reference points for EEGS. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. doi: 10.1109/SPMB.2016.7846854.

  • Torbati, A.H.N. & Picone, J. (2017). A nonparametric Bayesian approach for automatic discovery of a lexicon and acoustic units. 2016 IEEE Workshop on Spoken Language Technology, SLT 2016 - Proceedings, 71-75. doi: 10.1109/SLT.2016.7846247.

  • Thiess, M., Krome, E., Golmohammadi, M., Obeid, I., & Picone, J. (2017). Enhanced visualizations for improved real-time EEG monitoring. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. doi: 10.1109/SPMB.2016.7846868.

  • Yang, S., Lopez, S., Golmohammadi, M., Obeid, I., & Picone, J. (2017). Semi-automated annotation of signal events in clinical EEG data. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. doi: 10.1109/SPMB.2016.7846855.