Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods

8 February 2022

Papers citing "Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods"

6 / 6 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
Right on Time: Revising Time Series Models by Constraining their Explanations Maurice Kraus David Steinmann Antonia Wüst Andre Kokozinski Kristian Kersting AI4TS 40 4 0 20 Feb 2024
CGS-Mask: Making Time Series Predictions Intuitive for All Feng Lu Wei Li Yifei Sun Cheng Song Yufei Ren Albert Y. Zomaya AI4TS 17 0 0 15 Dec 2023
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions U. Schlegel Daniel A. Keim AI4TS 28 1 0 06 Oct 2023
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI U. Schlegel Daniel A. Keim AAML AI4TS 30 7 0 11 Jul 2023
TimeREISE: Time-series Randomized Evolving Input Sample Explanation Dominique Mercier Andreas Dengel Sheraz Ahmed AI4TS 9 7 0 16 Feb 2022