Computer Science Faculty

Sergio Alvarez

Associate Professor

Photo of Sergio Alvarez

Sergio Alvarez

Ph.D.

Contact

245 Beacon Street 528A

Telephone: 617-552-4333

Email: sergio.alvarez@bc.edu

Education

  • B.S., Universidad Javeriana
  • M.S., Universidad de Los Andes
  • Ph.D., University of Maryland

Research Interests

Data mining and machine learning, particularly as applied to the analysis of clinical medical data. Foundational issues related to performance analysis of data mining and machine learning systems.

Personal Website Curriculum Vitae

Department

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 https://www.nature.com/articles/s41598-021-01050-7
  • 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 https://doi.org/10.1007/s42979-021-00697-3
  • 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)
    doi:10.1177/0301006615596899
    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)
    https://doi.org/10.1109/TPAMI.2022.3216518
    Preprint available here.
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