Publications
Mezlini, A. M., Caddigan, E., Shapiro, A., Ramirez, E., Kondow-McConaghy, H. M. Yang, J., DeMarco, K., Naraghi-Arani, P., & Foschini, L. (2022). Precision recruitment for high-risk participants in a COVID-19 research study. medRxiv. https://doi.org/10.1101/2022.03.03.22271504
Mezlini, A., Shapiro, A., Daza, E. J., Caddigan, E., Ramirez, E., Althoff, T., Foschini, L. (2022). Estimating the Burden of Influenza on Daily Activity at Population Scale Using Commercial Wearable Sensors. JAMA Network Open, 5(5). https://doi.org/10.1001/jamanetworkopen.2022.11958
Caddigan, E. (2018). Reconstructing simulator control inputs: A machine learning approach. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62(1), 54-56. https://doi.org/10.1177/1541931218621012
Caddigan, E., Choo, H., Fei-Fei, L., & Beck, D. M. (2017). Categorization influences detection: A Perceptual Advantage for Representative Exemplars of Natural Scene Categories. Journal of Vision, 17(1), 21. https://doi.org/10.1167/17.1.21
Caddigan, E., Walther, D. B., Fei-Fei, L., & Beck, D. M. (2010). Perceptual differences between natural scene categories. Object Perception, Attention, and Memory (OPAM) 2010 Conference Report 18th Annual Meeting, St. Louis, Missouri, MO, USA. Visual Cognition, 18(10), 1498-1502.