Computer Science Faculty

Physiological data analysis / mining

* denote student co-authors

• K. Ahmedul, C. Ruiz, and S. A. Alvarez. Mixed bagging: a novel ensemble learning framework for supervised classification based on instance hardness, short paper, IEEE International Conference on Data Mining (ICDM 2018), Singapore, Nov. 2018
• 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
• 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
• C. Wang*, S.A. Alvarez, C. Ruiz, and M. Moonis (2017). Modeling and Clustering of Human Sleep Time Series using Dynamic Time Warping: Sequential and Distributed Implementations. In Biomedical Engineering Systems and Technologies, Ninth International Joint Conference, BIOSTEC 2016, Rome, Italy, February 2016, Revised Selected Papers (A. Fred and H. Gamboa, eds.), Communications in Computer and Information Science, Volume 690, Springer, 2017. ISBN: 978-3-319-54716-9
• A. Kabir*, C. Ruiz, S.A. Alvarez, and M. Moonis. Predicting outcome of ischemic stroke patients using bootstrap aggregating with M5 model trees, full paper, Proc. Tenth International Conference on Health Informatics (HEALTHINF 2017), Porto, Portugal, Feb. 21-23, 2017
• C. Wang, S. A. Alvarez, C. Ruiz, and M. Moonis. Deviation-based dynamic time warping for clustering human sleep, Proc. Ninth International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2016), in conjunction with the Ninth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), Rome, Italy, Feb. 21-23, 2016
• 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.
• 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

Neural Networks

• Alvarez, S. A., Levitan, S.L., and Reggia, J.A.
  "Metrics for Cortical Map Organization and Lateralization", Bulletin of Mathematical Biology, vol. 60 (1998), 27-47