Towards a Rigorous Evaluation of XAI Methods on Time Series

16 September 2019

U. Schlegel

Hiba Arnout

Mennatallah El-Assady

Papers citing "Towards a Rigorous Evaluation of XAI Methods on Time Series"

22 / 22 papers shown

Title
Evaluating Simplification Algorithms for Interpretability of Time Series Classification Felix Marti-Perez Brigt Håvardstun Cèsar Ferri Carlos Monserrat Jan Arne Telle AI4TS 29 0 0 13 May 2025
Implet: A Post-hoc Subsequence Explainer for Time Series Models Fanyu Meng Ziwen Kan Shahbaz Rezaei Z. Kong Xin Chen Xin Liu AI4TS 29 0 0 13 May 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 29 0 0 18 Apr 2025
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions Gregor Baer Isel Grau Chao Zhang Pieter Van Gorp AAML 53 0 0 24 Feb 2025
Interpreting Outliers in Time Series Data through Decoding Autoencoder Patrick Knab Sascha Marton Christian Bartelt Robert Fuder 29 1 0 03 Sep 2024
Explanation Space: A New Perspective into Time Series Interpretability Shahbaz Rezaei Xin Liu AI4TS 34 1 0 02 Sep 2024
ShapG: new feature importance method based on the Shapley value Chi Zhao Jing Liu Elena Parilina FAtt 137 4 0 29 Jun 2024
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
Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning Davood Pirayesh Neghab Mucahit Cevik M. Wahab 37 3 0 23 Mar 2023
Explainable AI for Time Series via Virtual Inspection Layers Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 34 26 0 11 Mar 2023
Evaluating Feature Attribution Methods for Electrocardiogram J. Suh Jimyeong Kim Euna Jung Wonjong Rhee FAtt 22 2 0 23 Nov 2022
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values Amin Nayebi Sindhu Tipirneni Chandan K. Reddy Brandon Foreman V. Subbian FAtt AI4TS 21 19 0 11 Nov 2022
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations Jacqueline Wastensteiner T. Weiß Felix Haag K. Hopf 25 11 0 24 Aug 2022
Towards Explainable Artificial Intelligence in Banking and Financial Services Ambreen Hanif 22 9 0 14 Dec 2021
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series Dongyu Liu Sarah Alnegheimish Alexandra Zytek K. Veeramachaneni AI4TS 27 20 0 10 Dec 2021
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 31 65 0 15 Nov 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez 27 57 0 04 Oct 2021
Time Series Model Attribution Visualizations as Explanations U. Schlegel Daniel A. Keim TDI BDL FAtt AI4TS XAI 48 15 0 27 Sep 2021
XAI Methods for Neural Time Series Classification: A Brief Review Ilija vSimić Vedran Sabol Eduardo E. Veas BDL AI4TS 27 13 0 18 Aug 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey Thomas Rojat Raphael Puget David Filliat Javier Del Ser R. Gelin Natalia Díaz Rodríguez XAI AI4TS 44 128 0 02 Apr 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 34 126 0 24 Jan 2021
Instance-based Counterfactual Explanations for Time Series Classification Eoin Delaney Derek Greene Mark T. Keane CML AI4TS 19 89 0 28 Sep 2020