Explaining Groups of Instances Counterfactually for XAI: A Use Case,
Algorithm and User Study for Group-Counterfactuals

Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals

16 March 2023

Christophe Guéret

Papers citing "Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals"

12 / 12 papers shown

Title
Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk Seyma Gunonu Gizem Altun Mustafa Cavus 30 0 0 14 Jul 2024
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability Ioannis Emiris Dimitris Fotakis G. Giannopoulos Dimitrios Gunopulos Loukas Kavouras ... D. Rontogiannis Dimitris Sacharidis Nikolaos Theologitis Dimitrios Tomaras Konstantinos Tsopelas CML FAtt 26 1 0 29 May 2024
Counterfactual Metarules for Local and Global Recourse Tom Bewley Salim I. Amoukou Saumitra Mishra Daniele Magazzeni Manuela Veloso 37 1 0 29 May 2024
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations André Artelt Andreas Gregoriades 25 0 0 02 Mar 2024
One-for-many Counterfactual Explanations by Column Generation Andrea Lodi Jasone Ramírez-Ayerbe LRM 16 2 0 12 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 17 5 0 09 Feb 2024
Distributional Counterfactual Explanations With Optimal Transport Lei You Lele Cao Mattias Nilsson Bo Zhao Lei Lei OT OffRL 20 1 0 23 Jan 2024
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 22 1 0 29 May 2023
Users are the North Star for AI Transparency Alex Mei Michael Stephen Saxon Shiyu Chang Zachary Chase Lipton William Yang Wang 24 8 0 09 Mar 2023
Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows C. Ryan Christophe Gúeret D. Berry Medb Corcoran Mark T. Keane Brian Mac Namee 24 6 0 06 Jan 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 162 0 20 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 227 3,681 0 28 Feb 2017