Paper-Conference

Explaining Protein Folding Networks Using Integrated Gradients and Attention Mechanisms

We apply Explainable AI techniques to elucidate how protein folding models such as AlphaFold and ColabFold make decisions and evaluate these methods' effectiveness in structural …

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Rukmangadh Sai Myana

Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting

We address limitations in time-series forecasting when external covariates and predicted future covariates are available by introducing a "shifting" feature representation that …

Jimeng Shi