Concept-based model explanations for Electronic Health Records

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Concept-based model explanations for Electronic Health Records

3 December 2020

Ivan V. Protsyuk

Martin G. Seneviratne

Alan Karthikesanlingam

Jessica Schrouff

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Papers citing "Concept-based model explanations for Electronic Health Records"

14 / 14 papers shown

Title
C-SHAP for time series: An approach to high-level temporal explanations Annemarie Jutte Faizan Ahmed Jeroen Linssen Maurice van Keulen AI4TS 101 1 0 15 Apr 2025
A Self-explaining Neural Architecture for Generalizable Concept Learning Sanchit Sinha Guangzhi Xiong Aidong Zhang 115 4 0 01 May 2024
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts Thomas Decker Michael Lebacher Volker Tresp FAtt 79 2 0 17 Oct 2023
A Unified Concept-Based System for Local, Global, and Misclassification Explanations Fatemeh Aghaeipoor D. Asgarian Mohammad Sabokrou FAtt 116 0 0 06 Jun 2023
Explainable AI for Time Series via Virtual Inspection Layers Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 109 33 0 11 Mar 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 125 2 0 31 Dec 2022
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations Jonathan Crabbé M. Schaar 161 56 0 22 Sep 2022
Towards Benchmarking Explainable Artificial Intelligence Methods Lars Holmberg 35 5 0 25 Aug 2022
Boosting the interpretability of clinical risk scores with intervention predictions Eric Loreaux Ke Yu Jonas Kemp Martin G. Seneviratne Christina W. Chen ... Ivan V. Protsyuk Natalie Harris Alexander DÁmour Steve Yadlowsky Ming-Jun Chen 54 1 0 06 Jul 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 95 27 0 25 Feb 2022
Acquisition of Chess Knowledge in AlphaZero Thomas McGrath A. Kapishnikov Nenad Tomašev Adam Pearce Demis Hassabis Been Kim Ulrich Paquet Vladimir Kramnik 154 176 0 17 Nov 2021
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools Davis Brown Henry Kvinge AAML 108 8 0 14 Oct 2021
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction Sayantan Kumar Sean C. Yu Thomas Kannampallil Zachary B. Abrams Andrew Michelson Philip R. O. Payne FAtt 74 7 0 09 Oct 2021
Best of both worlds: local and global explanations with human-understandable concepts Jessica Schrouff Sebastien Baur Shaobo Hou Diana Mincu Eric Loreaux Ralph Blanes James Wexler Alan Karthikesalingam Been Kim FAtt 154 30 0 16 Jun 2021