Sergio A. Alvarez

Interests and selected publications (more here)

Physiological data analysis / mining (asterisks * denote student co-authors)

  • S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez. Capturing the development of internal representations in a high-performing deep network for sleep stage classification, SN Computer Science 2, 318 (2021)
    Full paper available at

  • M. Sokolovsky*, F. Guerrero*, S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez. Deep learning for automated feature discovery and classification of sleep stages, IEEE / ACM Transactions on Computational Biology and Bioinformatics, Nov-Dec 2020; 17(6):1835-1845; doi:10.1109/TCBB.2019.2912955 Epub 2020 Dec 8.
    Near-final version available here.

  • S. Paisarnsrisomsuk*, M. Sokolovsky*, F. Guerrero*, C. Ruiz, and S. A. Alvarez. Deep Sleep: convolutional neural networks for predictive modeling of human sleep time-signals, KDD 2018 Deep Learning Day, 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug. 2018

  • S. A. Alvarez, E. Winner, A. Hawley-Dolan, L. Snapper*.
    What gaze fixation and pupil dilation can tell us about perceived differences between abstract art by artists vs. by children and animals, Perception, 44(11): 1310-1331 (Nov. 2015)
    Near-final version available here.

  • J. Hayward*, S. A. Alvarez, C. Ruiz, M. Sullivan, J. Tseng, and G. Whalen.
    "Machine learning of clinical performance in a pancreatic cancer database", Artificial Intelligence in Medicine, special issue on Data Mining Approaches to the Study of Disease Genes and Proteins (Sun Kim, ed.), vol. 49, issue 3, July 2010, 187-195

  • Sleep
Data mining algorithms

  • W.-Y. Lin*, S.A. Alvarez, and C. Ruiz.
    "Efficient adaptive-support association rule mining for recommender systems", Data Mining and Knowledge Discovery, Vol. 6, No. 1, pp. 83-105, Jan. 2002