1
TÍTULO: Constraint-Driven Explanations for Black Box ML Models
AUTORES: Aditya A Shrotri; Nina Narodytska; Alexey Ignatiev; Kuldeep S Meel; Joao Marques Silva; Moshe Y Vardi;
PUBLICAÇÃO: 2022, FONTE: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, VOLUME: 36
INDEXADO EM: Scopus
2
TÍTULO: From Contrastive to Abductive Explanations and Back Again
AUTORES: Ignatiev, A; Narodytska, N; Asher, N; Marques Silva, J;
PUBLICAÇÃO: 2021, FONTE: AIXIA 2020 - ADVANCES IN ARTIFICIAL INTELLIGENCE, VOLUME: 12414
INDEXADO EM: Scopus WOS CrossRef: 5 Unpaywall
3
TÍTULO: Reasoning-Based Learning of Interpretable ML Models
AUTORES: Alexey Ignatiev; Joao Marques Silva; Nina Narodytska; Peter J Stuckey;
PUBLICAÇÃO: 2021, FONTE: IJCAI International Joint Conference on Artificial Intelligence
INDEXADO EM: Scopus
4
TÍTULO: Explaining naive bayes and other linear classifiers with polynomial time and delay
AUTORES: Joao Marques Silva; Thomas Gerspacher; Martin C Cooper; Alexey Ignatiev; Nina Narodytska;
PUBLICAÇÃO: 2020, FONTE: Advances in Neural Information Processing Systems, VOLUME: 2020-December
INDEXADO EM: Scopus
5
TÍTULO: Synthesizing Cluster Management Code for Distributed Systems
AUTORES: Lalith Suresh; Joao Loff; Nina Narodytska; Leonid Ryzhyk; Mooly Sagiv; Brian Oki;
PUBLICAÇÃO: 2019, FONTE: Workshop on Hot Topics in Operating Systems (HotOS) in PROCEEDINGS OF THE WORKSHOP ON HOT TOPICS IN OPERATING SYSTEMS (HOTOS '19)
INDEXADO EM: Scopus WOS
6
TÍTULO: Assessing Heuristic Machine Learning Explanations with Model Counting
AUTORES: Narodytska, N; Shrotri, A; Meel, KS; Ignatiev, A; Marques Silva, J ;
PUBLICAÇÃO: 2019, FONTE: 22nd International Conference on Theory and Applications of Satisfiability Testing, SAT 2019 in THEORY AND APPLICATIONS OF SATISFIABILITY TESTING - SAT 2019, VOLUME: 11628
INDEXADO EM: Scopus WOS CrossRef: 12 Unpaywall
7
TÍTULO: On relating explanations and adversarial examples
AUTORES: Alexey Ignatiev; Nina Narodytska; Joao Marques Silva;
PUBLICAÇÃO: 2019, FONTE: Advances in Neural Information Processing Systems, VOLUME: 32
INDEXADO EM: Scopus
8
TÍTULO: Learning Optimal Decision Trees with SAT
AUTORES: Nina Narodytska; Alexey Ignatiev; Filipe Pereira; Joao Marques Silva ;
PUBLICAÇÃO: 2018, FONTE: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden.
INDEXADO EM: DBLP