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2211.00541
Cited By
Logic-Based Explainability in Machine Learning
24 October 2022
João Marques-Silva
LRM
XAI
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Papers citing
"Logic-Based Explainability in Machine Learning"
13 / 13 papers shown
Title
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
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
49
5
0
02 May 2024
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
Yacine Izza
Alexey Ignatiev
João Marques-Silva
FAtt
42
56
0
20 May 2022
Provably Precise, Succinct and Efficient Explanations for Decision Trees
Yacine Izza
Alexey Ignatiev
Nina Narodytska
Martin C. Cooper
João Marques-Silva
FAtt
24
7
0
19 May 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
166
183
0
03 Feb 2022
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Emilio Gamba
B. Bogaerts
Tias Guns
LRM
24
6
0
25 May 2021
An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets
Alexander Felfernig
Monika Schubert
Christoph Zehentner
28
190
0
17 Feb 2021
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
S. Sreedharan
Utkarsh Soni
Mudit Verma
Siddharth Srivastava
S. Kambhampati
61
29
0
04 Feb 2020
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
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
43
196
0
06 Apr 2017
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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