João Paulo Marques da Silva
AuthID: R-000-J0P
21
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
22
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
Scopus23
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
24
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
25
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
26
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
Scopus27
TITLE: On the tractability of explaining decisions of classifiers
AUTHORS: Martin C Cooper; João Marques Silva;
PUBLISHED: 2021, SOURCE: Leibniz International Proceedings in Informatics, LIPIcs, VOLUME: 210
AUTHORS: Martin C Cooper; João Marques Silva;
PUBLISHED: 2021, SOURCE: Leibniz International Proceedings in Informatics, LIPIcs, VOLUME: 210
INDEXED IN: Scopus
Scopus28
TITLE: A Scalable Two Stage Approach to Computing Optimal Decision Sets
AUTHORS: Alexey Ignatiev; Edward Lam; Peter J Stuckey; Joao Marques Silva;
PUBLISHED: 2021, SOURCE: 35th AAAI Conference on Artificial Intelligence, AAAI 2021, VOLUME: 5A
AUTHORS: Alexey Ignatiev; Edward Lam; Peter J Stuckey; Joao Marques Silva;
PUBLISHED: 2021, SOURCE: 35th AAAI Conference on Artificial Intelligence, AAAI 2021, VOLUME: 5A
INDEXED IN: Scopus
Scopus29
TITLE: On Efficiently Explaining Graph-Based Classifiers
AUTHORS: Xuanxiang Huang; Yacine Izza; Alexey Ignatiev; Joao Marques Silva;
PUBLISHED: 2021, SOURCE: Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021
AUTHORS: Xuanxiang Huang; Yacine Izza; Alexey Ignatiev; Joao Marques Silva;
PUBLISHED: 2021, SOURCE: Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021
INDEXED IN: Scopus
Scopus30
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 - Handbook of Satisfiability
AUTHORS: Joao Marques-Silva; Ines Lynce ; Sharad Malik;
PUBLISHED: 2021, SOURCE: Frontiers in Artificial Intelligence and Applications - Handbook of Satisfiability
