CRIL in short

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Lens Computer Science Research Lab (CRIL UMR 8188) is a joint laboratory between Université d’Artois and CNRS, that has a strong research focus on Artificial Intelligence and its applications. It groups together about 70 members, including researchers, lecturers, PhD students, postdocs and administrative or technical staff.

The CRIL is a member of the Confederation of Laboratories for Artificial Intelligence Research in Europe of the regional humAIn alliance. It is funded by Ministère de l’Enseignement Supérieur et de la Recherche, CNRS, Université d’Artois and Hauts de France region.

CRIL is located in two different places in Lens: at the faculty of science and at the technical institute (IUT).

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Recently updated publications

2024 Data 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.
2024 Knowledge Hélène Fargier, Stefan Mengel, Jérôme Mengin, An extended knowledge compilation map for conditional preference statements-based and generalized additive utilities-based languages in Annals of Mathematics and Artificial Intelligence, vol. 92, n° 5, pp. 1161-1196, 2024.
2024 Juliete Rossie, Jérôme Delobelle, Sébastien Konieczny, Clément Lens, Srdjan Vesic, Collective Satisfaction Semantics for Opinion Based Argumentation in 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}, International Joint Conferences on Artificial Intelligence Organization, pp. 631-641, 2024.
2024 Duc Anh Le, Stéphanie Roussel, Christophe Lecoutre, Anouck Chan, Learning Effect and Compound Activities in High Multiplicity RCPSP: Application to Satellite Production in CP 2024, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024.
2024 Explainable AI Louenas Bounia, Frédéric Koriche, Approximation des explications probabilistes via la minimisation super-modulaire in Conférence francophone sur l'Extraction et la Gestion des Connaissances EGC 2024, 2024.

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Pierre Marquis becomes AAIA Fellow

Oct 7, 2022 - 0:00 am

Pierre Marquis has been nominated Asia-Pacific Artificial Intelligence Association (AAIA) Fellow. The list of AAIA Fellows is available on the association website.

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IPMU'22 outstanding paper award for Sara Kebir

Jul 20, 2022 - 0:00 am

Sara Kebir received an outstanding student paper award during the international conference IPMU'22 (Information Processing and Management of Uncertainty in Knowledge-Based Systems) on July 13, 2022 in Milan, Italy for her article Probability Calibration Through Uncertain Information Revision co-authored with her supervisor Karim Tabia. Kebir, Sara, Tabia, Karim (2022). Classifier Probability Calibration Through Uncertain Information Revision. In Proc. of Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2022. Communications in Computer and Information Science, vol 1602.

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Accepted papers at IJCAI'22

Jul 13, 2022 - 0:00 am

This year, 8 papers from CRIL will be presented at IJCAI 2022!. Main track On Preferred Abductive Explanations for Decision Trees and Random Forests Gilles Audemard, Steve Bellart, Louenas Bounia, Frederic Koriche, Jean-Marie Lagniez, Pierre Marquis On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits Alexis de Colnet, Pierre Marquis A Computationally Grounded Logic of ‘Seeing-to-it-that’ Andreas Herzig, Emiliano Lorini, Elise Perrotin Best Heuristic Identification for Constraint Satisfaction Frederic Koriche, Christophe Lecoutre, Anastasia Paparrizou, Hugues Wattez

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Gilles Audemard receives CAV 2021 award

Jul 24, 2021 - 0:00 am

Gilles Audemard received with 20 other researchers on July 23, 2021 the 2021 award from the international conference on Computer-Aided Verification for pioneering contributions to the foundation of the theory and practice of Satisfiability Modulo Theory (SMT). See the full announcement.

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Recruitment Learning concept representations from few examples for NLP systems

Mar 3, 2021 - 0:00 am

The CRIL (CNRS & Artois University) invites applications for an M2 Research internship of 6 months. It will focus on learning concept representations from few examples for NLP systems. Start date: April 1st, 2021. Deadline for applications: March 15th, 2021. Keywords: Natural language processing, learning concept representation, few-shot learning More details are available at : http://www.cril.univ-artois.fr/~bouraoui/advert/stageM2_morgan.pdf For any information or application please contact Zied Bouraoui ([email protected])

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