How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins

17 May 2019

Papers citing "How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins"

22 / 22 papers shown

Title
Explainable deep learning improves human mental models of self-driving cars Eoin M. Kenny Akshay Dharmavaram Sang Uk Lee Tung Phan-Minh Shreyas Rajesh Yunqing Hu Laura Major Momchil S. Tomov Julie A. Shah 79 0 0 27 Nov 2024
Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences Anushka Narayanan Karianne J. Bergen 39 1 0 22 Oct 2024
Using Part-based Representations for Explainable Deep Reinforcement Learning Manos Kirtas Konstantinos Tsampazis Loukia Avramelou Nikolaos Passalis Anastasios Tefas 38 0 0 21 Aug 2024
The AI-DEC: A Card-based Design Method for User-centered AI Explanations Christine P. Lee M. Lee Bilge Mutlu HAI 43 4 0 26 May 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models Teodor Chiaburu Frank Haußer Felix Bießmann 53 4 0 23 Apr 2024
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Maurice Günder Sneha Banerjee R. Sifa Christian Bauckhage FAtt 26 0 0 27 Nov 2023
Robust Text Classification: Analyzing Prototype-Based Networks Zhivar Sourati D. Deshpande Filip Ilievski Kiril Gashteovski S. Saralajew OOD OffRL 47 2 0 11 Nov 2023
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun Alihan Huyuk Daniel Jarrett M. Schaar OffRL 44 7 0 11 Oct 2023
What's meant by explainable model: A Scoping Review Mallika Mainali Rosina O. Weber XAI 39 0 0 18 Jul 2023
XAIR: A Framework of Explainable AI in Augmented Reality Xuhai Xu Anna Yu Tanya R. Jonker Kashyap Todi Feiyu Lu ... Narine Kokhlikyan Fulton Wang P. Sorenson Sophie Kahyun Kim Hrvoje Benko 39 49 0 28 Mar 2023
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 40 16 0 16 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh Chawla 24 1 0 15 Dec 2022
Case-Based Inverse Reinforcement Learning Using Temporal Coherence Jonas Nüßlein Steffen Illium Robert Muller Thomas Gabor Claudia Linnhoff-Popien 27 1 0 12 Jun 2022
Explaining Latent Representations with a Corpus of Examples Jonathan Crabbé Zhaozhi Qian F. Imrie M. Schaar FAtt 18 37 0 28 Oct 2021
Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning Maximilian Hoffmann Ralph Bergmann 21 4 0 30 Jun 2021
Explainable AI, but explainable to whom? Julie Gerlings Millie Søndergaard Jensen Arisa Shollo 43 43 0 10 Jun 2021
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching Scott Cheng-Hsin Yang Wai Keen Vong Ravi B. Sojitra Tomas Folke Patrick Shafto 24 42 0 07 Feb 2021
Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science Adam J. Johs Denise E. Agosto Rosina O. Weber 20 6 0 13 Nov 2020
Instance-based Counterfactual Explanations for Time Series Classification Eoin Delaney Derek Greene Mark T. Keane CML AI4TS 19 89 0 28 Sep 2020
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning Eoin M. Kenny Mark T. Keane 28 99 0 10 Sep 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 14 145 0 26 May 2020
The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning Mark T. Keane Eoin M. Kenny 24 13 0 20 May 2019