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2020 – today
- 2024
[c17]Gagan Biradar, Yacine Izza, Elita A. Lobo, Vignesh Viswanathan, Yair Zick:
Axiomatic Aggregations of Abductive Explanations. AAAI 2024: 11096-11104- [c16]Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva:
Delivering Inflated Explanations. AAAI 2024: 12744-12753 - [c15]Yacine Izza, Kuldeep S. Meel, João Marques-Silva:
Locally-Minimal Probabilistic Explanations. ECAI 2024: 1092-1099 - [c14]Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva:
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation. KR 2024 - [i15]Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva:
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation. CoRR abs/2405.08297 (2024) - [i14]Yacine Izza, Joao Marques-Silva:
Efficient Contrastive Explanations on Demand. CoRR abs/2412.18262 (2024) - 2023
- [j3]Yacine Izza
, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
On computing probabilistic abductive explanations. Int. J. Approx. Reason. 159: 108939 (2023) - [c13]Xuanxiang Huang, Yacine Izza, João Marques-Silva:
Solving Explainability Queries with Quantification: The Case of Feature Relevancy. AAAI 2023: 3996-4006 - [c12]Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Tackling Explanation Redundancy in Decision Trees (Extended Abstract). IJCAI 2023: 6900-6904 - [c11]Yacine Izza, João Marques-Silva:
On Computing Relevant Features for Explaining NBCs. ENIGMA@KR 2023: 75-86 - [i13]Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva:
Delivering Inflated Explanations. CoRR abs/2306.15272 (2023) - [i12]Gagan Biradar, Yacine Izza, Elita A. Lobo, Vignesh Viswanathan, Yair Zick:
Axiomatic Aggregations of Abductive Explanations. CoRR abs/2310.03131 (2023) - [i11]Yacine Izza, João Marques-Silva:
The Pros and Cons of Adversarial Robustness. CoRR abs/2312.10911 (2023) - [i10]Yacine Izza, Kuldeep S. Meel, João Marques-Silva:
Locally-Minimal Probabilistic Explanations. CoRR abs/2312.11831 (2023) - 2022
- [j2]Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Tackling Explanation Redundancy in Decision Trees. J. Artif. Intell. Res. 75: 261-321 (2022) - [c10]Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, João Marques-Silva:
Using MaxSAT for Efficient Explanations of Tree Ensembles. AAAI 2022: 3776-3785 - [c9]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Tractable Explanations for d-DNNF Classifiers. AAAI 2022: 5719-5728 - [i9]Yacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
Provably Precise, Succinct and Efficient Explanations for Decision Trees. CoRR abs/2205.09569 (2022) - [i8]Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Tackling Explanation Redundancy in Decision Trees. CoRR abs/2205.09971 (2022) - [i7]Yacine Izza, João Marques-Silva:
On Computing Relevant Features for Explaining NBCs. CoRR abs/2207.04748 (2022) - [i6]Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
On Computing Probabilistic Abductive Explanations. CoRR abs/2212.05990 (2022) - 2021
- [c8]Yacine Izza, João Marques-Silva:
On Explaining Random Forests with SAT. IJCAI 2021: 2584-2591 - [c7]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Efficiently Explaining Graph-Based Classifiers. KR 2021: 356-367 - [i5]Yacine Izza, João Marques-Silva:
On Explaining Random Forests with SAT. CoRR abs/2105.10278 (2021) - [i4]Yacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
Efficient Explanations With Relevant Sets. CoRR abs/2106.00546 (2021) - [i3]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Efficiently Explaining Graph-Based Classifiers. CoRR abs/2106.01350 (2021) - [i2]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Efficient Explanations for Knowledge Compilation Languages. CoRR abs/2107.01654 (2021) - 2020
- [c6]Sihem Belabbes, Yacine Izza, Nizar Mhadhbi, Tri-Thuc Vo, Karim Tabia, Salem Benferhat:
An Ontology-based Approach for Building and Querying ICH Video Datasets. ICAART (1) 2020: 497-505 - [c5]Yacine Izza, Saïd Jabbour, Badran Raddaoui, Abdelhamid Boudane:
On the Enumeration of Association Rules: A Decomposition-based Approach. IJCAI 2020: 1265-1271 - [i1]Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Explaining Decision Trees. CoRR abs/2010.11034 (2020)
2010 – 2019
- 2019
- [c4]Sihem Belabbes, Chi Wee Tan, Tri-Thuc Vo, Yacine Izza, Karim Tabia, Sylvain Lagrue, Salem Benferhat:
Query Answering from Traditional Dance Videos: Case Study of Zapin Dances. ICTAI 2019: 1638-1642 - 2018
- [j1]Éric Grégoire, Yacine Izza, Du Zhang:
On Admissible Consensuses. Int. J. Artif. Intell. Tools 27(1): 1840004:1-1840004:20 (2018) - [c3]Éric Grégoire, Yacine Izza, Jean-Marie Lagniez:
Boosting MCSes Enumeration. IJCAI 2018: 1309-1315 - 2017
- [c2]Éric Grégoire, Yacine Izza, Jean-Marie Lagniez:
On Computing One Max_Subset Inclusion Consensus. ICTAI 2017: 838-845 - 2016
- [c1]Éric Grégoire, Yacine Izza, Jean-Marie Lagniez:
On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts. AAAI 2016: 3404-3410
Coauthor Index
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