A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification

Thu-Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim. A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification. In Vincent Lemaire 0001, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim, editors, Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers. Volume 12588 of Lecture Notes in Computer Science, pages 77-94, Springer, 2020. [doi]

Abstract

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