Instance-based Counterfactual Explanations for Time Series Classification

28 September 2020

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

34 / 34 papers shown

Title
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 48 146 0 26 Feb 2021
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning Eoin M. Kenny Mark T. Keane 48 100 0 10 Sep 2020
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations Thach le Nguyen S. Gsponer Iulia Ilie Martin O'Reilly Georgiana Ifrim AI4TS 32 108 0 31 May 2020
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers Kevin Fauvel Véronique Masson Elisa Fromont AI4TS 48 17 0 29 May 2020
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI) Mark T. Keane Barry Smyth CML 62 146 0 26 May 2020
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples) Padraig Cunningham Sarah Jane Delany 84 597 0 09 Apr 2020
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches Kacper Sokol Peter A. Flach XAI 75 301 0 11 Dec 2019
FACE: Feasible and Actionable Counterfactual Explanations Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodríguez T. D. Bie Peter A. Flach 64 368 0 20 Sep 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 53 170 0 16 Sep 2019
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations Thibault Laugel Marie-Jeanne Lesot Christophe Marsala X. Renard Marcin Detyniecki 40 196 0 22 Jul 2019
Interpretable Counterfactual Explanations Guided by Prototypes A. V. Looveren Janis Klaise FAtt 47 380 0 03 Jul 2019
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization Yichang Wang Rémi Emonet Elisa Fromont S. Malinowski Etienne Ménager Loic Mosser R. Tavenard AI4TS 15 12 0 03 Jun 2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera 78 320 0 27 May 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations R. Mothilal Amit Sharma Chenhao Tan CML 100 1,005 0 19 May 2019
How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins Mark T. Keane Eoin M. Kenny 112 82 0 17 May 2019
The role of artificial intelligence in achieving the Sustainable Development Goals Ricardo Vinuesa Hossein Azizpour Iolanda Leite Madeline Balaam Virginia Dignum S. Domisch Anna Felländer S. Langhans Max Tegmark F. F. Nerini 33 1,471 0 30 Apr 2019
Explaining Deep Classification of Time-Series Data with Learned Prototypes Alan H. Gee Diego Garcia-Olano Joydeep Ghosh D. Paydarfar AI4TS 46 66 0 18 Apr 2019
Counterfactual Visual Explanations Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee CML 60 510 0 16 Apr 2019
Adversarial Attacks on Deep Neural Networks for Time Series Classification Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AAML 47 134 0 17 Mar 2019
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment Jonathan Dodge Q. V. Liao Yunfeng Zhang Rachel K. E. Bellamy Casey Dugan FaML 26 126 0 23 Jan 2019
Efficient Search for Diverse Coherent Explanations Chris Russell 53 236 0 02 Jan 2019
Explaining Explanations in AI Brent Mittelstadt Chris Russell Sandra Wachter XAI 83 664 0 04 Nov 2018
The UCR Time Series Archive Hoang Anh Dau A. Bagnall Kaveh Kamgar Chin-Chia Michael Yeh Yan Zhu Shaghayegh Gharghabi C. Ratanamahatana Eamonn Keogh 38 819 0 17 Oct 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 111 1,947 0 08 Oct 2018
Explainable time series tweaking via irreversible and reversible temporal transformations Isak Karlsson J. Rebane P. Papapetrou Aristides Gionis AI4TS 20 29 0 13 Sep 2018
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 244 2,668 0 12 Sep 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 81 2,332 0 01 Nov 2017
LSTM Fully Convolutional Networks for Time Series Classification Fazle Karim Somshubra Majumdar H. Darabi Shun Chen AIMat AI4TS 37 1,100 0 08 Sep 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 222 4,229 0 22 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 563 21,613 0 22 May 2017
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang Weizhong Yan Tim Oates AI4TS 60 1,646 0 20 Nov 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 123 3,672 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 590 16,828 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 172 9,280 0 14 Dec 2015