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Declarative Approaches to Counterfactual Explanations for Classification
v1v2v3 (latest)

Declarative Approaches to Counterfactual Explanations for Classification

Theory and Practice of Logic Programming (TPLP), 2020
15 November 2020
Leopoldo Bertossi
ArXiv (abs)PDFHTML

Papers citing "Declarative Approaches to Counterfactual Explanations for Classification"

14 / 14 papers shown
Counterfactual Explanations as Plans
Counterfactual Explanations as PlansInternational Conference on Logic Programming (ICLP), 2025
Vaishak Belle
LRM
330
2
0
13 Feb 2025
The Distributional Uncertainty of the SHAP score in Explainable Machine
  Learning
The Distributional Uncertainty of the SHAP score in Explainable Machine LearningEuropean Conference on Artificial Intelligence (ECAI), 2024
Santiago Cifuentes
L. Bertossi
Nina Pardal
S. Abriola
Maria Vanina Martinez
Miguel Romero
TDIFAtt
317
2
0
23 Jan 2024
Declarative Reasoning on Explanations Using Constraint Logic Programming
Declarative Reasoning on Explanations Using Constraint Logic ProgrammingEuropean Conference on Logics in Artificial Intelligence (JELIA), 2023
Laura State
Salvatore Ruggieri
Franco Turini
LRM
356
1
0
01 Sep 2023
Attribution-Scores in Data Management and Explainable Machine Learning
Attribution-Scores in Data Management and Explainable Machine LearningSymposium on Advances in Databases and Information Systems (ADBIS), 2023
Leopoldo Bertossi
XAIFAttCML
258
1
0
31 Jul 2023
From Database Repairs to Causality in Databases and Beyond
From Database Repairs to Causality in Databases and Beyond
Leopoldo Bertossi
271
3
0
15 Jun 2023
Reason to explain: Interactive contrastive explanations (REASONX)
Reason to explain: Interactive contrastive explanations (REASONX)
Laura State
Salvatore Ruggieri
Franco Turini
LRM
386
3
0
29 May 2023
Efficient Computation of Shap Explanation Scores for Neural Network
  Classifiers via Knowledge Compilation
Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge CompilationEuropean Conference on Logics in Artificial Intelligence (JELIA), 2023
Leopoldo Bertossi
Jorge E. Leon
FAtt
361
2
0
11 Mar 2023
Attribution-Scores and Causal Counterfactuals as Explanations in
  Artificial Intelligence
Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence
Leopoldo Bertossi
XAICML
433
5
0
06 Mar 2023
Answer-Set Programs for Repair Updates and Counterfactual Interventions
Answer-Set Programs for Repair Updates and Counterfactual Interventions
Leopoldo Bertossi
KELMAAML
180
0
0
25 Sep 2022
ASTERYX : A model-Agnostic SaT-basEd appRoach for sYmbolic and
  score-based eXplanations
ASTERYX : A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanationsInternational Conference on Information and Knowledge Management (CIKM), 2021
Ryma Boumazouza
Fahima Cheikh
Bertrand Mazure
Karim Tabia
247
38
0
23 Jun 2022
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
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A ReviewACM Computing Surveys (ACM CSUR), 2020
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
807
281
0
20 Oct 2020
1
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