PhD Defense: Interpretable Deep Learning for Time Series
Aya Ismail
Abstract
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Bio
Aya Abdelsalam Ismail is a Ph.D. candidate in the Computer Science department working with Soheil Feizi and Héctor Corrada Bravo. Her research interests include interpretability of deep learning models, time series forecasting, and applying deep learning in neuroscience and health informatics.
This talk is organized by Tom Hurst