Computer Science Faculty

Sergio Alvarez

Associate Professor


Computer Science

Recent papers on physiological data analysis / mining

  • P. Putra*, K. Shima, S. A. Alvarez, and K. Shimatani. Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken, Scientific Reports, vol. 11, Nov. 2021
    Full paper available at
  • 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-signalsKDD 2018 Deep Learning Day2018 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.

Recent theoretical papers on metrics for machine learning

  • S. A. Alvarez†. Gaussian centered kernel alignment (CKA) in the large-bandwidth limit, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Oct. 2022 (early access)
    Preprint available here.