Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification

18 June 2024

Papers citing "Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification"

4 / 4 papers shown

Title
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions Gregor Baer Isel Grau Chao Zhang Pieter Van Gorp AAML 46 0 0 24 Feb 2025
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers Ashish Singh Antonio Bevilacqua Thach le Nguyen Feiyan Hu Kevin McGuinness Martin O'Reilly D. Whelan Brian Caulfield Georgiana Ifrim 33 12 0 02 Oct 2022
Metrics for saliency map evaluation of deep learning explanation methods T. Gomez Thomas Fréour Harold Mouchère XAI FAtt 64 41 0 31 Jan 2022
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 85 1,072 0 11 Sep 2019