Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations

19 May 2019

Papers citing "Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations"

50 / 177 papers shown

Title
Explainable Predictive Maintenance Sepideh Pashami Sławomir Nowaczyk Yuantao Fan Jakub Jakubowski Nuno Paiva ... Bruno Veloso M. Sayed-Mouchaweh L. Rajaoarisoa Grzegorz J. Nalepa João Gama 32 8 0 08 Jun 2023
Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping Juan Sebastián Canas Francisco Gomez Omar Costilla-Reyes 21 1 0 06 Jun 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry Kacper Sokol E. Small Yueqing Xuan 32 5 0 05 Jun 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 38 158 0 02 Jun 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 30 1 0 29 May 2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations Dan Ley Saumitra Mishra Daniele Magazzeni LRM 38 16 0 26 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 34 1 0 25 May 2023
The Case Against Explainability Hofit Wasserman Rozen N. Elkin-Koren Ran Gilad-Bachrach AILaw ELM 31 1 0 20 May 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 37 1 0 18 May 2023
Logic for Explainable AI Adnan Darwiche 30 8 0 09 May 2023
The Power of Typed Affine Decision Structures: A Case Study Gerrit Nolte Maximilian Schlüter Alnis Murtovi Bernhard Steffen AAML 20 3 0 28 Apr 2023
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 28 2 0 28 Apr 2023
Generating robust counterfactual explanations Victor Guyomard Franccoise Fessant Thomas Guyet Tassadit Bouadi Alexandre Termier 43 10 0 24 Apr 2023
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles Williams Rizzi Chiara Di Francescomarino Chiara Ghidini F. Maggi 21 0 0 27 Mar 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 37 7 0 26 Mar 2023
Learning with Explanation Constraints Rattana Pukdee Dylan Sam J. Zico Kolter Maria-Florina Balcan Pradeep Ravikumar FAtt 32 6 0 25 Mar 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals Greta Warren Markt. Keane Christophe Guéret Eoin Delaney 26 13 0 16 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 32 28 0 14 Mar 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 32 3 0 08 Mar 2023
Very fast, approximate counterfactual explanations for decision forests Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada 26 3 0 06 Mar 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 40 3 0 07 Feb 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 35 29 0 28 Jan 2023
Finding Regions of Counterfactual Explanations via Robust Optimization Donato Maragno Jannis Kurtz Tabea E. Rober Rob Goedhart cS. .Ilker Birbil D. Hertog 49 21 0 26 Jan 2023
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare Andreas Triantafyllopoulos Alexander Kathan Alice Baird Lukas Christ Alexander Gebhard ... Shahin Amiriparian K. D. Bartl-Pokorny A. Batliner Florian B. Pokorny Björn W. Schuller 47 7 0 25 Jan 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions Julia El Zini Mohamad Mansour M. Awad 33 1 0 19 Jan 2023
Evaluating counterfactual explanations using Pearl's counterfactual method Bevan I. Smith CML 24 1 0 06 Jan 2023
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 35 15 0 16 Dec 2022
Counterfactual Explanations for Support Vector Machine Models S. Salazar Samuel Denton Ansaf Salleb-Aouissi AAML FAtt 20 2 0 14 Dec 2022
Regulating Gatekeeper AI and Data: Transparency, Access, and Fairness under the DMA, the GDPR, and beyond P. Hacker Johann Cordes Janina Rochon 15 11 0 09 Dec 2022
Supervised Feature Compression based on Counterfactual Analysis V. Piccialli Dolores Romero Morales Cecilia Salvatore CML 32 2 0 17 Nov 2022
Learning to Counterfactually Explain Recommendations Yuanshun Yao Chong Wang Hang Li CML OffRL 22 1 0 17 Nov 2022
Decomposing Counterfactual Explanations for Consequential Decision Making Martin Pawelczyk Lea Tiyavorabun Gjergji Kasneci CML 21 1 0 03 Nov 2022
A General Search-based Framework for Generating Textual Counterfactual Explanations Daniel Gilo Shaul Markovitch LRM 34 0 0 01 Nov 2022
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI) M. Nizami Muhammad Yaseen Khan Alessandro Bogliolo 11 3 0 31 Oct 2022
Computing Rule-Based Explanations by Leveraging Counterfactuals Zixuan Geng Maximilian Schleich Dan Suciu 43 4 0 31 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 8 0 21 Oct 2022
Diffusion Visual Counterfactual Explanations Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 32 68 0 21 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 35 53 0 16 Oct 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 26 0 0 29 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 32 29 0 26 Sep 2022
Counterfactual Explanations Using Optimization With Constraint Learning Donato Maragno Tabea E. Rober Ilker Birbil CML 58 10 0 22 Sep 2022
Augmented cross-selling through explainable AI -- a case from energy retailing Felix Haag K. Hopf Pedro Menelau Vasconcelos Thorsten Staake 26 4 0 24 Aug 2022
Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance Satyam Kumar V. Ravi 11 1 0 19 Aug 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics Michaela Benk Raphael P. Weibel Stefan Feuerriegel Andrea Ferrario 26 3 0 09 Aug 2022
Differentially Private Counterfactuals via Functional Mechanism Fan Yang Qizhang Feng Kaixiong Zhou Jiahao Chen Xia Hu 24 8 0 04 Aug 2022
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data Tomás Pevný Viliam Lisý B. Bosanský P. Somol Michal Pěchouček 25 1 0 04 Aug 2022
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers Amar Kumar Anjun Hu Brennan Nichyporuk J. Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel MedIm 27 10 0 03 Aug 2022
Efficient Classification with Counterfactual Reasoning and Active Learning A. Mohammed D. Nguyen Bao Duong T. Nguyen CML 30 0 0 25 Jul 2022
Verifying Fairness in Quantum Machine Learning J. Guan Wang Fang Mingsheng Ying FaML 24 11 0 22 Jul 2022
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs Thanh Tam Nguyen Thanh Cong Phan Minh Hieu Nguyen Matthias Weidlich Hongzhi Yin Jun Jo Quoc Viet Hung Nguyen MLAU 17 17 0 17 Jul 2022