Class-Specific Explainability for Deep Time Series Classifiers

Class-Specific Explainability for Deep Time Series Classifiers

11 October 2022

Ramesh Doddaiah

Prathyush S. Parvatharaju

Elke A. Rundensteiner

Thomas Hartvigsen

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Papers citing "Class-Specific Explainability for Deep Time Series Classifiers"

17 / 17 papers shown

Title
Explanation Space: A New Perspective into Time Series Interpretability Shahbaz Rezaei Xin Liu AI4TS 209 2 0 02 Sep 2024
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 63 8 0 25 May 2022
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models U. Schlegel D. Lam Daniel A. Keim Daniel Seebacher FAtt AI4TS 97 32 0 17 Sep 2021
Explaining Time Series Predictions with Dynamic Masks Jonathan Crabbé M. Schaar FAtt AI4TS 93 81 0 09 Jun 2021
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations João Bento Pedro Saleiro André F. Cruz Mário A. T. Figueiredo P. Bizarro FAtt AI4TS 77 95 0 30 Nov 2020
Benchmarking Deep Learning Interpretability in Time Series Predictions Aya Abdelsalam Ismail Mohamed K. Gunady H. C. Bravo Soheil Feizi XAI AI4TS FAtt 66 173 0 26 Oct 2020
timeXplain -- A Framework for Explaining the Predictions of Time Series Classifiers Felix Mujkanovic Vanja Doskoc Martin Schirneck Patrick Schäfer Tobias Friedrich FAtt AI4TS 40 23 0 15 Jul 2020
What went wrong and when? Instance-wise Feature Importance for Time-series Models S. Tonekaboni Shalmali Joshi Kieran Campbell David Duvenaud Anna Goldenberg FAtt OOD AI4TS 107 14 0 05 Mar 2020
Problems with Shapley-value-based explanations as feature importance measures Indra Elizabeth Kumar Suresh Venkatasubramanian C. Scheidegger Sorelle A. Friedler TDI FAtt 98 368 0 25 Feb 2020
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 83 418 0 18 Oct 2019
Towards a Rigorous Evaluation of XAI Methods on Time Series U. Schlegel Hiba Arnout Mennatallah El-Assady Daniela Oelke Daniel A. Keim XAI AI4TS 83 174 0 16 Sep 2019
Automatic diagnosis of the 12-lead ECG using a deep neural network Antônio H. Ribeiro Manoel Horta Ribeiro Gabriela M. M. Paixão D. Oliveira P. R. Gomes ... Carl R. Andersson P. Macfarlane W. Meira Jr. Thomas B. Schon A. L. Ribeiro 73 663 0 02 Apr 2019
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 188 1,176 0 19 Jun 2018
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 83 1,526 0 11 Apr 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 319 1,951 0 06 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 231 3,796 0 18 Nov 2015