Yacine Izza - RankMe

40 papers A* 13A 1B 2Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rigorous Explanations for Tree Ensembles. CoRR Yacine Izza, Alexey Ignatiev, Xuanxiang Huang, Peter J. Stuckey, João Marques-Silva
2025	J	`jnl`	Most General Explanations of Tree Ensembles (Extended Version). CoRR Yacine Izza, Alexey Ignatiev, Sasha Rubin, João Marques-Silva, Peter J. Stuckey
2025	A*	`conf`	Most General Explanations of Tree Ensembles. IJCAI Yacine Izza, Alexey Ignatiev, Sasha Rubin, João Marques-Silva, Peter J. Stuckey
2025	—	`conf`	The Pros and Cons of Adversarial Robustness. ICAART (2) Yacine Izza, João Marques-Silva
2025	J	`jnl`	Uncovering Bugs in Formal Explainers: A Case Study with PyXAI. CoRR Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva
2024	A*	`conf`	Axiomatic Aggregations of Abductive Explanations. AAAI Gagan Biradar, Yacine Izza, Elita A. Lobo, Vignesh Viswanathan, Yair Zick
2024	A*	`conf`	Delivering Inflated Explanations. AAAI Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva
2024	A*	`conf`	Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation. KR Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva
2024	J	`jnl`	Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation. CoRR Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva
2024	J	`jnl`	Efficient Contrastive Explanations on Demand. CoRR Yacine Izza, João Marques-Silva
2024	A	`conf`	Locally-Minimal Probabilistic Explanations. ECAI Yacine Izza, Kuldeep S. Meel, João Marques-Silva
2023	J	`jnl`	Axiomatic Aggregations of Abductive Explanations. CoRR Gagan Biradar, Yacine Izza, Elita A. Lobo, Vignesh Viswanathan, Yair Zick
2023	J	`jnl`	Delivering Inflated Explanations. CoRR Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva
2023	J	`jnl`	Locally-Minimal Probabilistic Explanations. CoRR Yacine Izza, Kuldeep S. Meel, João Marques-Silva
2023	—	`conf`	On Computing Relevant Features for Explaining NBCs. ENIGMA@KR Yacine Izza, João Marques-Silva
2023	A*	`conf`	On Tackling Explanation Redundancy in Decision Trees (Extended Abstract). IJCAI Yacine Izza, Alexey Ignatiev, João Marques-Silva
2023	J	`jnl`	On computing probabilistic abductive explanations. Int. J. Approx. Reason. Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva
2023	A*	`conf`	Solving Explainability Queries with Quantification: The Case of Feature Relevancy. AAAI Xuanxiang Huang, Yacine Izza, João Marques-Silva
2023	J	`jnl`	The Pros and Cons of Adversarial Robustness. CoRR Yacine Izza, João Marques-Silva
2022	J	`jnl`	On Computing Probabilistic Abductive Explanations. CoRR Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva
2022	J	`jnl`	On Computing Relevant Features for Explaining NBCs. CoRR Yacine Izza, João Marques-Silva
2022	J	`jnl`	On Tackling Explanation Redundancy in Decision Trees. CoRR Yacine Izza, Alexey Ignatiev, João Marques-Silva
2022	J	`jnl`	On Tackling Explanation Redundancy in Decision Trees. J. Artif. Intell. Res. Yacine Izza, Alexey Ignatiev, João Marques-Silva
2022	J	`jnl`	Provably Precise, Succinct and Efficient Explanations for Decision Trees. CoRR Yacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva
2022	A*	`conf`	Tractable Explanations for d-DNNF Classifiers. AAAI Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva
2022	A*	`conf`	Using MaxSAT for Efficient Explanations of Tree Ensembles. AAAI Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, João Marques-Silva
2021	J	`jnl`	Efficient Explanations With Relevant Sets. CoRR Yacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva
2021	J	`jnl`	Efficient Explanations for Knowledge Compilation Languages. CoRR Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva
2021	A*	`conf`	On Efficiently Explaining Graph-Based Classifiers. KR Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva
2021	J	`jnl`	On Efficiently Explaining Graph-Based Classifiers. CoRR Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva
2021	A*	`conf`	On Explaining Random Forests with SAT. IJCAI Yacine Izza, João Marques-Silva
2021	J	`jnl`	On Explaining Random Forests with SAT. CoRR Yacine Izza, João Marques-Silva
2020	—	`conf`	An Ontology-based Approach for Building and Querying ICH Video Datasets. ICAART (1) Sihem Belabbes, Yacine Izza, Nizar Mhadhbi, Tri-Thuc Vo, Karim Tabia, Salem Benferhat
2020	J	`jnl`	On Explaining Decision Trees. CoRR Yacine Izza, Alexey Ignatiev, João Marques-Silva
2020	A*	`conf`	On the Enumeration of Association Rules: A Decomposition-based Approach. IJCAI Yacine Izza, Saïd Jabbour, Badran Raddaoui, Abdelhamid Boudane
2019	B	`conf`	Query Answering from Traditional Dance Videos: Case Study of Zapin Dances. ICTAI Sihem Belabbes, Chi Wee Tan, Tri-Thuc Vo, Yacine Izza, Karim Tabia, Sylvain Lagrue, Salem Benferhat
2018	A*	`conf`	Boosting MCSes Enumeration. IJCAI Éric Grégoire, Yacine Izza, Jean-Marie Lagniez
2018	J	`jnl`	On Admissible Consensuses. Int. J. Artif. Intell. Tools Éric Grégoire, Yacine Izza, Du Zhang
2017	B	`conf`	On Computing One Max_Subset Inclusion Consensus. ICTAI Éric Grégoire, Yacine Izza, Jean-Marie Lagniez
2016	A*	`conf`	On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts. AAAI Éric Grégoire, Yacine Izza, Jean-Marie Lagniez