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cs.LG2025
Why Do Class-Dependent Evaluation Effects Occur with Time Series Feature Attributions? A Synthetic Data Investigation
Gregor Baer, Isel Grau, Chao Zhang +1
Evaluating feature attribution methods represents a critical challenge in explainable AI (XAI), as researchers typically rely on perturbation-based metrics when ground truth is una…
cs.LG2025
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Gregor Baer, Isel Grau, Chao Zhang +1
As machine learning models become increasingly prevalent in time series applications, Explainable Artificial Intelligence (XAI) methods are essential for understanding their predic…