Yacine Izza

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