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.
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. 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.
