Apprentissage, traitements et interrogation de données
L’intelligence artificielle moderne tire profit de deux grands avantages indéniables : la disponibilité des données et la force de calcul. Les données, vraie mine d’informations, sont maintenant disponibles, souvent en grandes quantités et issues de sources multiples et pouvant être entachées d’imperfections diverses (données manquantes, imprécises, hétérogènes, etc.). La gestion de ces données massives et hétérogènes soulève plusieurs défis à la communauté IA. De la fouille de données à l’apprentissage artificiel, plusieurs problèmes d’actualité nécessitent des solutions efficaces au point de vue calculatoire et pouvant fournir des résultats exploitables, fiables et explicables pour l’utilisateur.
Ainsi, le nouvel axe thématique “Données” au sein du CRIL se fixe comme principaux objectifs :
- La proposition de nouveaux algorithmes d’extraction de connaissances et d’apprentissage automatique ;
- L’étude et l’analyse des aspects fondamentaux, algorithmiques et expérimentaux des techniques d’extraction de connaissances et d’apprentissage automatique ;
- La proposition de solutions efficaces pour la gestion de données massives, hétérogènes et complexes en intégrant les dimensions de confidentialité et de fiabilité ;
- La fertilisation croisée et l’exploitation des synergies fortes avec les deux autres axes thématiques du CRIL (comme le développement d’approches symboliques et déclaratives pour la fouille de données et l’explicabilité prenant appui sur la force des solveurs et raisonneurs modernes) ;
- La collecte, la complétion et l’interrogation de bases de données massives et hétérogènes ;
- La modélisation et conception de pipelines d’extraction de connaissances et d’apprentissage artificiel dans certains domaines applicatifs.
Mots clés :
- Fouille et science des données
-
extraction de connaissances (extraction de motifs et de règles, clustering, communautés…), approches déclaratives, qualité des données
- Apprentissage automatique
-
apprentissage automatique et explicabilité, fiabilité, calibration
- Gestion des données
-
Interrogation, complétion, contrôle d’accès, confidentialité, réparation
- Applications
-
Recommandation, détection d’anomalies, détection de communautés…
Membres permanents rattachés principalement à l'axe
| Arinik Nejat | Maître de conférences |
| Benferhat Salem | Professeur des universités |
| Bouraoui Zied | Professeur des universités |
| Inoubli Wissem | Maître de conférences |
| Jabbour Saïd co-responsable | Professeur des universités |
| Koriche Frédéric | Professeur des universités |
| Saïs Lakhdar | Professeur des universités |
| Tabia Karim | Professeur des universités |
Autres membres rattachés à l'axe
| Audemard Gilles | Professeur des universités |
| Cheikh-Alili Fahima | Maître de conférences |
| Condotta Jean-François | Professeur des universités |
| Delorme Fabien | Ingénieur de recherche |
| Et-Targuy Omar | Doctorant |
| Ing David | Doctorant |
| Kemgue Alain Trésor | Ingénieur de recherche |
| Lagniez Jean-Marie | Professeur des universités |
| Laouar Ahmed | Doctorant |
| Le Berre Daniel | Professeur des universités |
| Lecoutre Christophe | Professeur des universités |
| Lens Clément | Doctorant |
| Lonca Emmanuel | Ingénieur de recherche |
| Marquis Pierre | Professeur des universités |
| Marzinkowski Arthur | Doctorant |
| Mazure Bertrand | Professeur des universités |
| Mengel Stefan | Directeur de recherche CNRS |
| Sabiri Mehdi | Doctorant |
| Salhi Yakoub | Professeur des universités |
| Tabary Sébastien | Maître de conférences |
| Tahıl Gökhan | Doctorant |
| Tran Nguyen Duong Chi | Doctorante |
| Wallon Romain | Maître de conférences |
Thèses en cours
- Apprendre et raisonner à partir d’explications en langues naturelles - Thomas Bailleux
- Fouilles de graphes et maximisation de l’Influence dans les réseaux sociaux - Motaz Ben Hassine
- Fusion pratique et conditionnement hétérogène à partir d’informations incertaines - Omar Et-Targuy
- Gestion des connaissances, des contraintes et des données hétérogènes et incertaines - Arthur Marzinkowski
Thèses soutenues :
Projets récents :
Publications
Articles de revues internationales
2024 Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Marie-Jeanne Lesot, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Olivier Strauss, Christel Vrain, Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group
in International Journal of Approximate Reasoning, vol. 171, pp. 109206, 2024.
2023 Rim Mohamed, Zied Loukil, Faiez Gargouri, Zied Bouraoui, Revision of prioritized $$\mathcal {E}\mathcal {L}$$ ontologies
in Applied Intelligence, vol. 53, n° 24, pp. 30359-30383, 2023.
2023 Wafaa Rajaa Drioua, Nacéra Benamrane, Lakhdar Sais, Breast Cancer Histopathological Images Segmentation Using Deep Learning
in Sensors, vol. 23, n° 17, pp. 7318, 2023.
2022 Tingting Zhai, Frédéric Koriche, Yang Gao, Junwu Zhu, Bin Li, Online active classification via margin-based and feature-based label queries
in Machine Learning, vol. 111, n° 6, pp. 2323-2348, 2022.
2022 Said Jabbour, Yue Ma, Badran Raddaoui, A framework for reasoning about uncertainty in ontologies
in IEEE Intelligent Systems, vol. 37, n° 6, pp. 27-37, 2022.
2022 Ikram Nekkache, Saïd Jabbour, Nadjet Kamel, Lakhdar Saïs, Detecting and exploiting symmetries in sequential pattern mining
in International Journal of Data Mining, Modelling and Management, vol. 14, n° 4, 2022.
2021 Amel Hidouri, Said Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane, Mining closed high utility itemsets based on propositional satisfiability
in Data and Knowledge Engineering, vol. 136, n° 101927:1-101927:15, 2021.
2021 Ghassen Hamdi, Mohamed Nazih Omri, Salem Benferhat, Zied Bouraoui, Odile Papini, Query answering DL-lite knowledge bases from hidden datasets
in Annals of Mathematics and Artificial Intelligence, vol. 89, n° 3-4, pp. 271-299, 2021.
2020 Amélie Levray, Salem Benferhat, Karim Tabia, Possibilistic Networks: Computational Analysis of MAP and MPE Inference
in International Journal on Artificial Intelligence Tools, vol. 29, n° 03n04, pp. 2060005, 2020.
2020 Antoine Amarilli, Pierre Bourhis, Stefan Mengel, Matthias Niewerth, Constant-Delay Enumeration for Nondeterministic Document Spanners
in SIGMOD record, vol. 49, n° 1, pp. 25-32, 2020.
2019 Tingting Zhai, Frederic Koriche, Hao Wang, Yang Gao, Tracking Sparse Linear Classifiers
in IEEE Transactions on Neural Networks and Learning Systems, vol. 30, n° 7, pp. 2079-2092, 2019.
2018 Abdelhamid Boudane, Saïd Jabbour, Lakhdar Sais, Yakoub Salhi, SAT-Based Data Mining
in International Journal on Artificial Intelligence Tools, vol. 27, n° 01, pp. 1840002, 2018.
Articles de conférences internationales
2024 Salem Benferhat, Didier Dubois, Henri Prade, Provenance Calculus and Possibilistic Logic: A Parallel and a Discussion
in 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023), Springer Nature Switzerland, vol. 14294, pp. 427-441, 2024.
2024 Amit Gajbhiye, Zied Bouraoui, Luis Anke, Steven Schockaert, AMenDeD: Modelling Concepts by Aligning Mentions, Definitions and Decontextualised Embeddings
in Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 2024.
2024 Lorenzo Loconte, Aleksanteri Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari, Subtractive Mixture Models via Squaring: Representation and Learning
in The Twelfth International Conference on Learning Representations, 2024.
2024 Nurul Ariyani, Zied Bouraoui, Richard Booth, Steven Schockaert, Can Language Models Learn Embeddings of Propositional Logic Assertions?
in Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 2024.
2024 Antoine Amarilli, Benny Kimelfeld, Sébastien Labbé, Stefan Mengel, Skyline Operators for Document Spanners
in 27th International Conference on Database Theory (ICDT 2024), Schloss Dagstuhl – Leibniz-Zentrum für Informatik, vol. 290, pp. 7:1-7:18, 2024.
2024 Hubie Chen, Stefan Mengel, Optimally Rewriting Formulas and Database Queries: A Confluence of Term Rewriting, Structural Decomposition, and Complexity
in 27th International Conference on Database Theory (ICDT 2024), Schloss Dagstuhl – Leibniz-Zentrum für Informatik, vol. 290, pp. 16:1-16:17, 2024.
2023 Arthur Marzinkowski, Salem Benferhat, Anastasia Paparrizou, Cédric Piette, On object detection based on similarity measures from digital maps
in IntelliSys 2023 - Intelligent Systems Conference, vol. 1, 2023.
2023 Amel Hidouri, Badran Raddaoui, Said Jabbour, Targeting Minimal Rare Itemsets from Transaction Databases
in Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}, International Joint Conferences on Artificial Intelligence Organization, pp. 2114-2121, 2023.
2023 Omar Ettarguy, Ahlame Begdouri, Salem Benferhat, Carole Delenne, Syntactic computation of Fagin-Halpern conditioning in possibility theory
in LPAR 2023 - 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning, vol. 94, pp. 164-146, 2023.
2023 Jerry Lonlac, Imen Dlala, Said Jabbour, Engelbert Nguifo, Badran Raddaoui, Lakhdar Sais, Extracting frequent gradual patterns based on SAT
in 12th International Conference on Data Science, Technology and Applications (DATA ), SCITEPRESS - Science and Technology Publications, vol. 1, pp. 136-143, 2023.
2023 Omar Et-Targuy, Ahlame Begdouri, Salem Benferhat, Carole Delenne, Thanh-Nghi Do, Truong-Thanh Ma, A Graph-Based Approach for Representing Wastewater Networks from GIS Data: Ensuring Connectivity and Consistency
in ISDS 2023 - 1rst International Conference on Intelligent Systems and Data Science, Springer Nature Singapore, vol. 1949, pp. 243-257, 2023.
2023 Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert, Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models
in SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, pp. 216-226, 2023.
2023 Motaz Hassine, Saïd Jabbour, Mourad Kmimech, Badran Raddaoui, Mohamed Graiet, A Non-overlapping Community Detection Approach Based on α-Structural Similarity
in International Conference on Big Data Analytics and Knowledge Discovery, 2023.
2023 Amit Gajbhiye, Zied Bouraoui, Na Li, Usashi Chatterjee, Luis Espinosa-Anke, Steven Schockaert, What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies
in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, pp. 10587-10596, 2023.
2023 Said Jabbour, Badran Raddaoui, Lakhdar Sais, A Symbolic Approach to Computing Disjunctive Association Rules from Data
in Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}, International Joint Conferences on Artificial Intelligence Organization, pp. 2133-2141, 2023.
2023 Badran Raddaoui, Christian Straßer, Said Jabbour, A Comparative Study of Ranking Formulas Based on Consistency
in Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}, International Joint Conferences on Artificial Intelligence Organization, pp. 3330-3337, 2023.
2023 Thibault Falque, Bertrand Mazure, Karim Tabia, Predicting off-block delays: A case study at Paris-Charles de Gaulle International Airport
in 15th International Conference on Agents and Artificial Intelligence (ICAART 2023), vol. 2, pp. 180-189, 2023.
2023 Rim Mohamed, Truong-Thanh Ma, Zied Bouraoui, An Application of Priority-Based Lightweight Ontology Merging
in 15th International Conference on Agents and Artificial Intelligence (ICAART 2023), SCITEPRESS - Science and Technology Publications, pp. 268-276, 2023.
2023 Na Li, Zied Bouraoui, Steven Schockaert, Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy
in Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, pp. 11744-11756, 2023.
2022 Sara Kebir, Karim Tabia, Classifier Probability Calibration Through Uncertain Information Revision
in International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU22), Springer International Publishing, vol. 1602, pp. 598-611, 2022.
2022 Rim Mohamed, Zied Bouraoui, Zied Loukil, Faiez Gargouri, Conflict-Based Inconsistency-Tolerant Query Answering
in Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2022, vol. 35, 2022.
2022 Rim Mohamed, Zied Bouraoui, Zied Loukil, Faiez Gargouri, Min-Based Conditioning of Possibilistic EL Ontology
in Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2022, vol. 35, 2022.
2022 Yixiao Wang, Zied Bouraoui, Luis Espinosa-Anke, Steven Schockaert, Sentence Selection Strategies for Distilling Word Embeddings from BERT
in Thirteenth Language Resources and Evaluation Conference, pp. 2591–2600, 2022.
2022 Saïd Jabbour, Mourad Kmimech, Badran Raddaoui, Discovering overlapping communities based on cohesive subgraph models over graph data
in DaWaK 2022: 24th International Conference on Big Data Analytics and Knowledge Discovery, Springer, vol. 13428, pp. 189-201, 2022.
2022 Said Jabbour, Nizar Mhadhbi, Badran Raddaoui, Lakhdar Saïs, A Declarative Framework for Maximal k-plex Enumeration Problems
in 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2022.
2022 Julien Martin-Prin, Imen Ouled Dlala, Nicolas Travers, Said Jabbour, A Distributed SAT-Based Framework for Closed Frequent Itemset Mining
in Advanced Data Mining and Applications, Springer Nature Switzerland, vol. 13726, pp. 419-433, 2022.
2022 Karim Tabia, Updating Probability Intervals with Uncertain Inputs
in Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}, pp. 2748-2754, 2022.
2022 Karl Bringmann, Nofar Carmeli, Stefan Mengel, Tight Fine-Grained Bounds for Direct Access on Join Queries
in SIGMOD/PODS '22: International Conference on Management of Data, ACM, pp. 427-436, 2022.
2022 Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Mouna Chebbah, Boutheina Ben Yaghlane, A parallel declarative framework for mining high utility itemsets
in IPMU 2022: 19th international conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer, vol. 1602, pp. 624–637, 2022.
2022 Wafaa Rajaa Drioua, Nacéra Benamrane, Lakhdar Saïs, Breast Cancer Detection from Histopathology Images Based on YOLOv5
in 7th International Conference on Frontiers of Signal Processing (ICFSP), 2022.
2022 Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert, Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
in AAAI Conference on Artificial Intelligence, vol. 36, pp. 2991-2999, 2022.
2022 Amel Hidouri, Saïd Jabbour, Badran Raddaoui, On the enumeration of frequent high utility itemsets: a symbolic AI approach
in CP 2022: 28th international conference on Principles and Practice of Constraint Programming, Leibniz-Zentrum für Informatik, vol. 235, 2022.
2021 Na Li, Zied Bouraoui, Jose Camacho-Collados, Luis Espinosa-Anke, Qing Gu, Steven Schockaert, Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
in Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}, International Joint Conferences on Artificial Intelligence Organization, pp. 3850-3856, 2021.
2021 Amel Hidouri, Saïd Jabbour, Jerry Lonlac, Badran Raddaoui, A constraint-based approach for enumerating gradual itemsets
in ICTAI 2021: 33rd IEEE International Conference on Tools with Artificial Intelligence, IEEE, pp. 582-589, 2021.
2021 Amel Hidouri, Said Jabbour, Badran Raddaoui, Mouna Chebbah, Boutheina Ben Yaghlane, A declarative framework for mining Top-k high utility itemsets
in DaWaK 2021: 23rd international conference on Big Data Analytics and Knowledge Discovery, Springer, pp. 250-256, 2021.
2021 Amel Hidouri, Saïd Jabbour, Imen Ouled Dlala, Badran Raddaoui, On minimal and maximal high utility itemsets mining using propositional satisfiability
in BIGDATA 2021: IEEE International Conference on Big Data, IEEE, pp. 622-628, 2021.
2021 Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert, FEW-SHOT IMAGE CLASSIFICATION WITH MULTI-FACET PROTOTYPES
in ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
2021 Yacine Izza, Said Jabbour, Badran Raddaoui, Abdelhamid Boudane, On the Enumeration of Association Rules: A Decomposition-based Approach
in Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020), pp. 1265-1271, 2021.
2021 Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert, Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning
in ICMR '21: International Conference on Multimedia Retrieval, ACM, pp. 367-375, 2021.
2020 Steven Schockaert, Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Modelling Semantic Categories Using Conceptual Neighborhood
in The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI2020), 2020.
2020 Cécile Carra, Karim Tabia, Smart Home for Seniors: Opportunities and Challenges for AI
in ICAART 2020, 12th International Conference on Agents and Artificial Intelligence, 2020.
2020 Khaled Adeyl, Mourad Kmimech, Nizar Mhadhbi, Badran Raddaoui, Cohesive subgraph models for overlapping community search over networks
in International Conference on Intelligent Software Methodologies, Tools, and Techniques (SOMET), IOS Press, vol. 327, 2020.
2020 Zied Bouraoui, José Camacho-Collados, Steven Schockaert, Inducing Relational Knowledge from BERT
in The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI2020), 2020.
2020 Nizar Mhadhbi, Badran Raddaoui, Maximal clique based influence maximization in networks
in IPMU 2020: 18th international conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer, vol. 1237, pp. 445-456, 2020.
2020 Rana Alshaikh, Zied Bouraoui, Steven Schockaert, Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces.
in 29th International Joint Conference in Artificial Intelligence (IJCAI'20), 2020.
2020 Amel Hidouri, Said Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane, A SAT-based approach for mining high utility itemsets from transaction databases
in International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), Springer, Cham, vol. 12393, pp. 91–106, 2020.
2020 Rana Alshaikh, Shelan S. Jeawak, Zied Bouraoui, Steven Schockaert, A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings
in The 28th International Conference on Computational Linguistics (COLING 2020), 2020.
2019 Rana Alshaikh, Zied Bouraoui, Steven Schockaert, Learning Conceptual Spaces with Disentangled Facets
in 23rd Conference on Computational Natural Language Learning (CoNLL 2019), Association for Computational Linguistics 2019, pp. 131-139, 2019.
2019 Na Li, Zied Bouraoui, Steven Schockaert, Ontology Completion Using Graph Convolutional Networks.
in 18th International Semantic Web Conference (ISWC 2019), pp. 435-452, 2019.
2019 Saïd Jabbour, Yue Ma, Badran Raddaoui, Handling disagreement in ontologies-based reasoning via argumentation
in WISE 2019: 20th International Conference on Web Information Systems Engineering, Springer, vol. Lecture Notes in Computer Science, vol 11881, pp. 389 - 406, 2019.
2019 Said Jabbour, Jerry Lonlac, Lakhdar Saïs, Mining Gradual Itemsets Using Sequential Pattern Mining
in 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, pp. 1-6, 2019.
2019 Antoine Amarilli, Pierre Bourhis, Stefan Mengel, Matthias Niewerth, Constant-Delay Enumeration for Nondeterministic Document Spanners
in ICDT, 2019.
2019 Stefan Mengel, Sebastian Skritek, Characterizing Tractability of Simple Well-Designed Pattern Trees with Projection
in International Conference on Database Theory, 2019.
2019 Zied Bouraoui, Steven Schockaert, Automated Rule Base Completion as Bayesian Concept Induction
in 33rd AAAI Conference on Artificial Intelligence (AAAI'19), pp. 6228-6235, 2019.
2019 Said Jabbour, Yue Ma, Badran Raddaoui, Towards a prudent argumentation framework for reasoning with imperfect ontologies
in DL 2019: 32nd International Workshop on Description Logics, CEUR Workshop Proceedings, vol. 2373, pp. 48:1-3, 2019.
2019 Salem Benferhat, Zied Bouraoui, Odile Papini, Eric Würbel, Assertional Removed Sets Merging of DL-Lite Knowledge Bases
in The 13th international conference on Scalable Uncertainty Management, 2019.
2018 Antoine Amarilli, Pierre Bourhis, Stefan Mengel, Enumeration on Trees under Relabelings
in 21st International Conference on Database Theory,ICDT 2018, 2018.
2018 Ghassen Hamdi, Mohamed Omri, Odile Papini, Salem Benferhat, Zied Bouraoui, Querying DL-lite Knowledge Bases from Hidden Datasets *
in International Symposium on Artificial Intelligence and Mathematics, 2018.
2018 Salem Benferhat, Amélie Levray, Karim Tabia, Possibilistic Networks: MAP Query and Computational Analysis
in IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI'18), IEEE, pp. 916-923, 2018.
2018 Zied Bouraoui, Shoaib Jameel, Steven Schockaert, Relation Induction in Word Embeddings Revisited
in 27th International Conference on Computational Linguistics (COLING'18), 2018.
2018 Rym Mohamed, Zied Loukil, Zied Bouraoui, Qualitative-Based Possibilistic EL Ontology
in 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA'18), 2018.
2018 Zied Bouraoui, Shoaib Jameel, Steven Schockaert, Unsupervised Learning of Distributional Relation Vectors
in 56th Annual Meeting of the Association for Computational Linguistics (ACL'18), pp. 23-33, 2018.
2018 Zied Bouraoui, Steven Schockaert, Learning Conceptual Space Representations of Interrelated Concepts
in 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pp. 1760-1766, 2018.
2018 Said Jabbour, Fatima Ezzahra, Imen Dlala, Badran Raddaoui, Lakhdar Saïs, On maximal frequent itemsets mining with constraints
in CP 2018 : 24th International Conference on Principles and Practice of Constraint Programming, Springer International Publishing, vol. 11008, pp. 554-569, 2018.
2018 Imen Ouled Dlala, Saïd Jabbour, Badran Raddaoui, Lakhdar Saïs, A parallel SAT-based framework for closed frequent itemsets mining
in CP 2018: 24th International Conference on Principles and Practice of Constraint Programming, Springer, pp. 570 - 587, 2018.
Éditions d'actes de conférences et d'ouvrages
2022 Zied Bouraoui, Valérie Camps, Éric Gaussier, Maxime Guériau, Christelle Launois, Nicolas Prcovic, Céline Rouveirol, Fatiha Saïs, François Schwarzentruber, Anaelle Wilczynski, Yves Demazeau, Thomas Guyet, Dominique Longin, Davy Monticolo, Ahmed Samet, Conférence Nationale d'Intelligence Artificielle Année 2022
pp. 1-239, Association Française d'Intelligence Artificielle, 2022.
2020 Isabelle Bloch, Zied Bouraoui, Stephan Brunessaux, Sylvie Doutre, Amal El Fallah-Seghrouchni, Sébastien Ferré, Frédéric Maris, Alexandre Niveau, Nicolas Sabouret, Yves Demazeau, Dominique Longin, Conférence Nationale d'Intelligence Artificielle Année 2020
Association Française d'Intelligence Artificielle, 2020.