3 papers
cs.LG2026
Scaling Time Series Classification via XAI-Driven Data Reduction
Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
Explainable AI (XAI) for time series has seen significant algorithmic growth, but its utility in providing measurable performance gains for downstream tasks remains under-explored.…
cs.AI2025
An Empirical Evaluation of Factors Affecting SHAP Explanation of Time Series Classification
Davide Italo Serramazza, Nikos Papadeas, Zahraa Abdallah +1
Explainable AI (XAI) has become an increasingly important topic for understanding and attributing the predictions made by complex Time Series Classification (TSC) models. Among att…
cs.LG2024
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
Explanation for Multivariate Time Series Classification (MTSC) is an important topic that is under explored. There are very few quantitative evaluation methodologies and even fewer…