João Paulo Marques da Silva
AuthID: R-000-J0P
11
TITLE: Delivering Trustworthy AI through Formal XAI
AUTHORS: Joao Marques Silva; Alexey Ignatiev;
PUBLISHED: 2022, SOURCE: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, VOLUME: 36
AUTHORS: Joao Marques Silva; Alexey Ignatiev;
PUBLISHED: 2022, SOURCE: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, VOLUME: 36
INDEXED IN: 
Scopus
Scopus12
TITLE: Conflict-Driven clause learning SAT solvers
AUTHORS: Joao Marques Silva; Ines Lynce; Sharad Malik;
PUBLISHED: 2021, SOURCE: Handbook of Satisfiability: Second Edition
AUTHORS: Joao Marques Silva; Ines Lynce; Sharad Malik;
PUBLISHED: 2021, SOURCE: Handbook of Satisfiability: Second Edition
INDEXED IN: Scopus
Scopus13
TITLE: Auditing static machine learning anti-Malware tools against metamorphic attacks Full Text
AUTHORS: Gibert, D; Mateu, C; Planes, J; Marques Silva, J;
PUBLISHED: 2021, SOURCE: COMPUTERS & SECURITY, VOLUME: 102
AUTHORS: Gibert, D; Mateu, C; Planes, J; Marques Silva, J;
PUBLISHED: 2021, SOURCE: COMPUTERS & SECURITY, VOLUME: 102
14
TITLE: Chapter 4: Conflict-driven clause learning SAT solvers
AUTHORS: Joao Marques Silva; Ines Lynce; Sharad Malik;
PUBLISHED: 2021, SOURCE: Frontiers in Artificial Intelligence and Applications, VOLUME: 336
AUTHORS: Joao Marques Silva; Ines Lynce; Sharad Malik;
PUBLISHED: 2021, SOURCE: Frontiers in Artificial Intelligence and Applications, VOLUME: 336
INDEXED IN: Scopus 
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Scopus Unpaywall15
TITLE: Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification
AUTHORS: Gianpiero Cabodi; Paolo E Camurati; Alexey Ignatiev; Joao Marques Silva; Marco Palena; Paolo Pasini;
PUBLISHED: 2021, SOURCE: Proceedings -Design, Automation and Test in Europe, DATE, VOLUME: 2021-February
AUTHORS: Gianpiero Cabodi; Paolo E Camurati; Alexey Ignatiev; Joao Marques Silva; Marco Palena; Paolo Pasini;
PUBLISHED: 2021, SOURCE: Proceedings -Design, Automation and Test in Europe, DATE, VOLUME: 2021-February
16
TITLE: On Explaining Random Forests with SAT
AUTHORS: Yacine Izza; Joao Marques Silva;
PUBLISHED: 2021, SOURCE: IJCAI International Joint Conference on Artificial Intelligence
AUTHORS: Yacine Izza; Joao Marques Silva;
PUBLISHED: 2021, SOURCE: IJCAI International Joint Conference on Artificial Intelligence
INDEXED IN: Scopus
Scopus17
TITLE: From Contrastive to Abductive Explanations and Back Again
AUTHORS: Ignatiev, A; Narodytska, N; Asher, N; Marques Silva, J;
PUBLISHED: 2021, SOURCE: AIXIA 2020 - ADVANCES IN ARTIFICIAL INTELLIGENCE, VOLUME: 12414
AUTHORS: Ignatiev, A; Narodytska, N; Asher, N; Marques Silva, J;
PUBLISHED: 2021, SOURCE: AIXIA 2020 - ADVANCES IN ARTIFICIAL INTELLIGENCE, VOLUME: 12414
18
TITLE: SAT-Based Rigorous Explanations for Decision Lists
AUTHORS: Ignatiev, A; Marques Silva, J;
PUBLISHED: 2021, SOURCE: THEORY AND APPLICATIONS OF SATISFIABILITY TESTING, SAT 2021, VOLUME: 12831
AUTHORS: Ignatiev, A; Marques Silva, J;
PUBLISHED: 2021, SOURCE: THEORY AND APPLICATIONS OF SATISFIABILITY TESTING, SAT 2021, VOLUME: 12831
19
TITLE: Assessing Progress in SAT Solvers Through the Lens of Incremental SAT
AUTHORS: Kochemazov, S; Ignatiev, A; Marques Silva, J;
PUBLISHED: 2021, SOURCE: THEORY AND APPLICATIONS OF SATISFIABILITY TESTING, SAT 2021, VOLUME: 12831
AUTHORS: Kochemazov, S; Ignatiev, A; Marques Silva, J;
PUBLISHED: 2021, SOURCE: THEORY AND APPLICATIONS OF SATISFIABILITY TESTING, SAT 2021, VOLUME: 12831
20
TITLE: Reasoning-Based Learning of Interpretable ML Models
AUTHORS: Alexey Ignatiev; Joao Marques Silva; Nina Narodytska; Peter J Stuckey;
PUBLISHED: 2021, SOURCE: IJCAI International Joint Conference on Artificial Intelligence
AUTHORS: Alexey Ignatiev; Joao Marques Silva; Nina Narodytska; Peter J Stuckey;
PUBLISHED: 2021, SOURCE: IJCAI International Joint Conference on Artificial Intelligence
INDEXED IN: Scopus
Scopus