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An ASP-Based Approach to Counterfactual Explanations for Classification
v1v2 (latest)

An ASP-Based Approach to Counterfactual Explanations for Classification

28 April 2020
Leopoldo Bertossi
    CML
ArXiv (abs)PDFHTML

Papers citing "An ASP-Based Approach to Counterfactual Explanations for Classification"

13 / 13 papers shown
From Facts to Foils: Designing and Evaluating Counterfactual Explanations for Smart Environments
From Facts to Foils: Designing and Evaluating Counterfactual Explanations for Smart Environments
Anna Trapp
Mersedeh Sadeghi
Andreas Vogelsang
195
0
0
03 Oct 2025
Generating Causally Compliant Counterfactual Explanations using ASP
Generating Causally Compliant Counterfactual Explanations using ASPInternational Conference on Logic Programming (ICLP), 2025
Sopam Dasgupta
CML
308
1
0
13 Feb 2025
Learning Actionable Counterfactual Explanations in Large State Spaces
Learning Actionable Counterfactual Explanations in Large State Spaces
Keziah Naggita
Matthew R. Walter
Avrim Blum
OffRL
515
1
0
25 Apr 2024
DiConStruct: Causal Concept-based Explanations through Black-Box
  Distillation
DiConStruct: Causal Concept-based Explanations through Black-Box DistillationCLEaR (CLEaR), 2024
Ricardo Moreira
Jacopo Bono
Mário Cardoso
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
CML
622
7
0
16 Jan 2024
Explainable Goal Recognition: A Framework Based on Weight of Evidence
Explainable Goal Recognition: A Framework Based on Weight of EvidenceInternational Conference on Automated Planning and Scheduling (ICAPS), 2023
Abeer Alshehri
Tim Miller
Mor Vered
284
5
0
09 Mar 2023
Reasoning about Counterfactuals and Explanations: Problems, Results and
  Directions
Reasoning about Counterfactuals and Explanations: Problems, Results and Directions
Leopoldo Bertossi
LRM
192
0
0
25 Aug 2021
Answer-Set Programs for Reasoning about Counterfactual Interventions and
  Responsibility Scores for Classification
Answer-Set Programs for Reasoning about Counterfactual Interventions and Responsibility Scores for ClassificationInternational Conference on Inductive Logic Programming (ILP), 2021
Leopoldo Bertossi
G. Reyes
246
10
0
21 Jul 2021
Score-Based Explanations in Data Management and Machine Learning: An
  Answer-Set Programming Approach to Counterfactual Analysis
Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis
Leopoldo Bertossi
230
4
0
19 Jun 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to
  Rectify in the Evaluation of Counterfactual XAI Techniques
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI TechniquesInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Mark T. Keane
Eoin M. Kenny
Eoin Delaney
Barry Smyth
CML
399
173
0
26 Feb 2021
Declarative Approaches to Counterfactual Explanations for Classification
Declarative Approaches to Counterfactual Explanations for ClassificationTheory and Practice of Logic Programming (TPLP), 2020
Leopoldo Bertossi
538
17
0
15 Nov 2020
A survey of algorithmic recourse: definitions, formulations, solutions,
  and prospects
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi
Gilles Barthe
Bernhard Schölkopf
Isabel Valera
FaML
420
186
0
08 Oct 2020
Machine Reasoning Explainability
Machine Reasoning Explainability
K. Čyras
R. Badrinath
S. Mohalik
A. Mujumdar
Alexandros Nikou
Alessandro Previti
Vaishnavi Sundararajan
Aneta Vulgarakis Feljan
LRM
391
13
0
01 Sep 2020
Score-Based Explanations in Data Management and Machine Learning
Score-Based Explanations in Data Management and Machine LearningScalable Uncertainty Management (SUM), 2020
Leopoldo Bertossi
FAttXAI
286
4
0
24 Jul 2020
1
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