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cs.LG2024★ 2 cited
Explanation Space: A New Perspective into Time Series Interpretability
Shahbaz Rezaei, Xin Liu
Human understandable explanation of deep learning models is essential for various critical and sensitive applications. Unlike image or tabular data where the importance of each inp…
cs.LG2024★ 1 cited
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
Ziwen Kan, Shahbaz Rezaei, Xin Liu
The popularity of deep learning methods in the time series domain boosts interest in interpretability studies, including counterfactual (CF) methods. CF methods identify minimal ch…