• Fall 2020                         

    CMPE 343

    Introduction to Probability and Statistics for Computer Engineers

  • Fall 2020                         

    CMPE 544

    Pattern Recognition

  • Spring 2020                         

    SWE 591

    Sp. Tp. Principles of Neural Networks and Deep Learning

  • Spring 2020                         

    CMPE 462

    Machine Learning

  • Fall 2019                              

    CMPE 343

    Introduction to Probability and Statistics for Computer Engineers

  • Fall 2019                              

    SWE 582

    Sp. Tp. Machine Learning for Data Analytic

Featured Research Projects

Publications

  1. Oguz K. Yuksel, Inci M. Baytas, "Robust Training with Orthogonality Regularization", The 28th IEEE Conference on Signal Processing and Communication Applications, 2020 (accepted).

  2. Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou, "Heterogeneous Hyper-Network Embedding", ICDM, 2018.

  3. Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou, "Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases", KDD, 2018.

  4. Cao Xiao, Ying Li, Inci M. Baytas, Jiayu Zhou, Fei Wang, "An MCEM Framework for Drug Safety Signal Detection and Combination from Heterogeneous Real World Evidence ", Scientific Reports, vol. 8, Nature, 2018.

  5. Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou, "Patient Subtyping via Time-Aware LSTM Networks", KDD, 2017.

  6. Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou, "Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates", KDD, 2017.

  7. Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou, "Asynchronous Multi-Task Learning", ICDM, 2016.

  8. Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain and Jiayu Zhou, “PHENOTREE: Interactive Visual Analytics for Hierarchical Phenotyping from Large-Scale Electronic Health Records”, IEEE TMM, 2016.

  9. Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain and Jiayu Zhou, “Stochastic Convex Sparse Principal Component Analysis”, EURASIP Journal on Bioinformatics and Systems Biology, 2016.

  10. Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji and Jiayu Zhou, “Multi-Task Feature Interaction Learning”, KDD, 2016.

  11. Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu, “Similarity Learning via Adaptive Regression and Its Application to Image Retrieval”, arXiv:1512.01728 [cs.LG], 2015.

  12. Inci M. Baytas and Bilge Gunsel, “Head Motion Classification with 2D Motion Estimation”, IEEE 22nd Signal Processing and Communications Applications Conference (SIU), 2014.