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Logic-Based Explainability in Machine Learning

Logic-Based Explainability in Machine Learning

24 October 2022
João Marques-Silva
    LRM
    XAI
ArXivPDFHTML

Papers citing "Logic-Based Explainability in Machine Learning"

13 / 13 papers shown
Title
On the Complexity of Global Necessary Reasons to Explain Classification
On the Complexity of Global Necessary Reasons to Explain Classification
M. Calautti
Enrico Malizia
Cristian Molinaro
FAtt
58
0
0
12 Jan 2025
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
49
5
0
02 May 2024
On Computing Relevant Features for Explaining NBCs
On Computing Relevant Features for Explaining NBCs
Yacine Izza
João Marques-Silva
20
5
0
11 Jul 2022
On Tackling Explanation Redundancy in Decision Trees
On Tackling Explanation Redundancy in Decision Trees
Yacine Izza
Alexey Ignatiev
João Marques-Silva
FAtt
48
56
0
20 May 2022
Provably Precise, Succinct and Efficient Explanations for Decision Trees
Provably Precise, Succinct and Efficient Explanations for Decision Trees
Yacine Izza
Alexey Ignatiev
Nina Narodytska
Martin C. Cooper
João Marques-Silva
FAtt
26
7
0
19 May 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
172
183
0
03 Feb 2022
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Emilio Gamba
B. Bogaerts
Tias Guns
LRM
26
6
0
25 May 2021
An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets
An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets
Alexander Felfernig
Monika Schubert
Christoph Zehentner
30
190
0
17 Feb 2021
Model Interpretability through the Lens of Computational Complexity
Model Interpretability through the Lens of Computational Complexity
Pablo Barceló
Mikaël Monet
Jorge A. Pérez
Bernardo Subercaseaux
114
93
0
23 Oct 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for
  Sequential Decision-Making Problems with Inscrutable Representations
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
S. Sreedharan
Utkarsh Soni
Mudit Verma
Siddharth Srivastava
S. Kambhampati
63
29
0
04 Feb 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,231
0
24 Jun 2017
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
46
196
0
06 Apr 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,818
0
03 Feb 2017
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