Yacine Izza, Alexey Ignatiev, Sasha Rubin, João Marques-Silva, Peter J. Stuckey – Most General Explanations of Tree Ensembles - IJCAI 2025
Yacine Izza, João Marques-Silva – The Pros and Cons of Adversarial Robustness - ICAART 2025
Gagan Biradar, Yacine Izza, Elita A. Lobo, Vignesh Viswanathan, Yair Zick – Axiomatic Aggregations of Abductive Explanations - AAAI 2024
Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva – Delivering Inflated Explanations - AAAI 2024
Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva – Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation - KR 2024
Yacine Izza, Kuldeep S. Meel, João Marques-Silva – Locally-Minimal Probabilistic Explanations - ECAI 2024
Yacine Izza, Alexey Ignatiev and João Marques-Silva – On Tackling Explanation Redundancy in Decision Trees (Extended Abstract) - IJCAI 2023
Xuanxiang Huang, Yacine Izza and João Marques-Silva – Solving Explainability Queries with Quantification: The Case of Feature Relevancy - AAAI 2023
Yacine Izza and João Marques-Silva – On Computing Relevant Features for Explaining NBCs - ENIGMA@KR 2023
Yacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper and João Marques-Silva – Provably Precise, Succinct and Efficient Explanations for Decision Trees - CoRR 2022
Alexey Ignatiev, Yacine Izza, Peter Stuckey and João Marques-Silva – Using MaxSAT for Efficient Explanations of Tree Ensembles - AAAI 2022
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher and João Marques-Silva – Tractable Explanations for d-DNNF Classifiers - AAAI 2022
Yacine Izza, Alexey Ignatiev and João Marques-Silva – On Tackling Explanation Redundancy in Decision Trees - CoRR 2022
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher and João Marques-Silva – Efficient Explanations for Knowledge Compilation Languages - CoRR 2021
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev and João Marques-Silva – On Efficiently Explaining Graph-Based Classifiers - KR 2021
Yacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper and João Marques-Silva – Efficient Explanations With Relevant Sets - CoRR 2021
Yacine Izza and João Marques-Silva – On Explaining Random Forests with SAT - IJCAI 2021
Yacine Izza, Alexey Ignatiev and João Marques-Silva – On Explaining Decision Trees - CoRR 2020
Yacine Izza, Said Jabbour, Badran Raddaoui and Abdelhamid Boudane – On the Enumeration of Association Rules: A Decomposition-based Approach - IJCAI 2020
Sihem Belabbes, Yacine Izza, Tri-Thuc Vo, Karim Tabia and Salem Benferhat - An ontology-based approach for building and querying ICH video datasets - ICAART 2020
Sihem Belabbes, Chi Wee Tan, Tri-Thuc Vo, Yacine Izza, Karim Tabia and Salem Benferhat - Query Answering from Traditional Dance Videos: Case Study of Zapin Dances - ICTAI 2019
Eric Grégoire, Yacine Izza and Jean-Marie Langiez - Boosting MCSes Enumeration - IJCAI 2018
Eric Grégoire, Yacine Izza and Jean-Marie Langiez - On Computing one maximal Consensus - ICTAI 2017
Eric Grégoire, Yacine Izza and Jean-Marie Langiez - On the Extraction of One Maximal Information Subset that Does not Conflict with Multiple Contexts - AAAI 2016
Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper and João Marques-Silva – On Computing Probabilistic Abductive Explanations - IJAR 2023
Yacine Izza, Alexey Ignatiev and João Marques-Silva – On Tackling Explanation Redundancy in Decision Trees - JAIR 2022
Eric Grégoire, Yacine Izza and Du Zhang - On Admissible consensus - IJAIT 2018