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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.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…
cs.LG2023
Evaluating Explanation Methods for Multivariate Time Series Classification
Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen +1
Multivariate time series classification is an important computational task arising in applications where data is recorded over time and over multiple channels. For example, a smart…