2 papers
cs.LG2026
Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data
Emmanuel C. Chukwu, Rianne M. Schouten, Monique Tabak +1
Counterfactual explanations (CEs) for multivariate time-series classifiers are often difficult to interpret in domains where experts reason in terms of semantic feature groups rath…
cs.LG2025
Counterfactual Explanations for Time Series Should be Human-Centered and Temporally Coherent in Interventions
Emmanuel C. Chukwu, Rianne M. Schouten, Monique Tabak +1
Counterfactual explanations are increasingly proposed as interpretable mechanisms to achieve algorithmic recourse. However, current counterfactual techniques for time series classi…