Sergio A. Alvarez

Interests and selected publications (more here)

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

  • M. Sokolovsky*, F. Guerrero*, S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez. Human expert-level automated sleep stage prediction and feature discovery by deep convolutional neural networks, full paper, BIOKDD 2018, in conjunction with the 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

  • P. Laxminarayan*, S.A. Alvarez, C. Ruiz, and M. Moonis.
    "Mining statistically significant associations for exploratory analysis of human sleep data", IEEE Transactions on Information Technology in Biomedicine, vol. 10, no. 3, 440-450, July 2006

  • 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