Instance-based Counterfactual Explanations for Time Series
Classification

Instance-based Counterfactual Explanations for Time Series Classification

28 September 2020

Papers citing "Instance-based Counterfactual Explanations for Time Series Classification"

10 / 10 papers shown

Title
Implet: A Post-hoc Subsequence Explainer for Time Series Models Fanyu Meng Ziwen Kan Shahbaz Rezaei Z. Kong Xin Chen Xin Liu AI4TS 24 0 0 13 May 2025
Time Can Invalidate Algorithmic Recourse Giovanni De Toni Stefano Teso Bruno Lepri Andrea Passerini 37 0 0 10 Oct 2024
Counterfactual Explanations for Multivariate Time-Series without Training Datasets Xiangyu Sun Raquel Aoki Kevin H. Wilson 27 1 0 28 May 2024
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM AI4TS CML 29 2 0 24 May 2024
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies Audrey Der Chin-Chia Michael Yeh Yan Zheng Junpeng Wang Zhongfang Zhuang Liang Wang Wei Zhang Eamonn J. Keogh AI4TS 45 2 0 16 Jan 2024
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 32 4 0 12 Oct 2023
TraCE: Trajectory Counterfactual Explanation Scores Jeffrey N Clark Edward A. Small Nawid Keshtmand Michelle W.L. Wan Elena Fillola Mayoral Enrico Werner Christopher P Bourdeaux Raúl Santos-Rodríguez 28 1 0 27 Sep 2023
Industry Classification Using a Novel Financial Time-Series Case Representation Rian Dolphin Barry Smyth Ruihai Dong AIFin 17 4 0 29 Apr 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals Greta Warren Markt. Keane Christophe Guéret Eoin Delaney 26 13 0 16 Mar 2023
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation M. Temraz Markt. Keane 21 42 0 05 Nov 2021