TSInsight: A local-global attribution framework for interpretability in time-series data

6 April 2020

Papers citing "TSInsight: A local-global attribution framework for interpretability in time-series data"

9 / 9 papers shown

Title
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection Nazanin Fouladgar Marjan Alirezaie Kary Främling AI4TS FAtt 23 0 0 16 Oct 2024
Explainable Deep Learning Framework for Human Activity Recognition Yiran Huang Yexu Zhou Haibin Zhao T. Riedel Michael Beigl BDL HAI 43 0 0 21 Aug 2024
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification Jacqueline Höllig Steffen Thoma Florian Grimm AI4TS 22 1 0 23 Oct 2023
TSInterpret: A unified framework for time series interpretability Jacqueline Höllig Cedric Kulbach Steffen Thoma AI4TS AI4CE 29 2 0 10 Aug 2022
Time Series Model Attribution Visualizations as Explanations U. Schlegel Daniel A. Keim TDI BDL FAtt AI4TS XAI 48 15 0 27 Sep 2021
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning V. T. Trifunov M. Shadaydeh Björn Barz Joachim Denzler OOD AI4TS 28 3 0 14 Sep 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
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification Dominique Mercier Andreas Dengel Sheraz Ahmed AI4TS 17 5 0 11 Feb 2021
P2ExNet: Patch-based Prototype Explanation Network Dominique Mercier Andreas Dengel Sheraz Ahmed 13 3 0 05 May 2020