ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.14045
  4. Cited By
The Tractability of SHAP-Score-Based Explanations over Deterministic and
  Decomposable Boolean Circuits

The Tractability of SHAP-Score-Based Explanations over Deterministic and Decomposable Boolean Circuits

28 July 2020
Marcelo Arenas
Pablo Barceló
Mikaël Monet
    FAtt
ArXivPDFHTML

Papers citing "The Tractability of SHAP-Score-Based Explanations over Deterministic and Decomposable Boolean Circuits"

7 / 7 papers shown
Title
Attribution-Scores in Data Management and Explainable Machine Learning
Attribution-Scores in Data Management and Explainable Machine Learning
Leopoldo Bertossi
XAI
FAtt
CML
9
1
0
31 Jul 2023
Attribution-Scores and Causal Counterfactuals as Explanations in
  Artificial Intelligence
Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence
Leopoldo Bertossi
XAI
CML
25
5
0
06 Mar 2023
Reasoning about Counterfactuals and Explanations: Problems, Results and
  Directions
Reasoning about Counterfactuals and Explanations: Problems, Results and Directions
Leopoldo Bertossi
LRM
19
0
0
25 Aug 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
13
4
0
19 Jun 2021
Declarative Approaches to Counterfactual Explanations for Classification
Declarative Approaches to Counterfactual Explanations for Classification
Leopoldo Bertossi
32
17
0
15 Nov 2020
On the Tractability of SHAP Explanations
On the Tractability of SHAP Explanations
Guy Van den Broeck
A. Lykov
Maximilian Schleich
Dan Suciu
FAtt
TDI
9
258
0
18 Sep 2020
Causality-based Explanation of Classification Outcomes
Causality-based Explanation of Classification Outcomes
Leopoldo Bertossi
Jordan Li
Maximilian Schleich
Dan Suciu
Zografoula Vagena
XAI
CML
FAtt
147
46
0
15 Mar 2020
1