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  Arnold Hien, Samir Loudni, Noureddine Aribi, Yahia Lebbah, Mohammed El Amine Laghzaoui, et al.. A Relaxation-based Approach for Mining Diverse Closed Patterns. Machine Learning and Knowledge Discovery in Databases - European Conference, 2020, Sep 2020, Ghent (virtual), Belgium. pp.36--54, ⟨10.1007/978-3-030-67658-2_3⟩. ⟨hal-03244005⟩
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  Martin Atzmueller, Stephan Günnemann, Albrecht Zimmermann. Mining communities and their descriptions on attributed graphs: a survey. Data Mining and Knowledge Discovery, Springer, 2021. ⟨hal-03177679⟩
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  Maksim Koptelov. Link prediction in bipartite multi-layer networks, with an application to drug-target interaction prediction. Machine Learning [cs.LG]. Normandie Université, 2020. English. ⟨tel-02983246v1⟩
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  Christophe Couronne, Maksim Koptelov, Albrecht Zimmermann. PrePeP: A light-weight, extensible tool for predicting frequent hitters. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020, Sep 2020, Gand (virtual conference), Belgium. ⟨hal-02935081⟩
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  Arnold Hien, Samir Loudni, Noureddine Aribi, Yahia Lebbah, Mohammed Laghzaoui, et al.. A Relaxation-based Approach for Mining Diverse Closed Patterns. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020, Sep 2020, Gand, Belgium. ⟨hal-02935080⟩
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  David Condaminet, Albrecht Zimmermann, Bastien Billiot, Bruno Crémilleux, Sylvain Pluchon. Using Data Science to Improve the Identification of Plant Nutritional Status. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2020, Sydney, Australia. pp.496-505. ⟨hal-02934489⟩
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  Hayfa Azibi, Nida Meddouri, Mondher Maddouri. Catégorisation des méthodes de classification fondées sur l'Analyse de Concepts Formels. 31es Journées francophones d'Ingénierie des Connaissances collection, Sébastien Ferré, Jun 2020, Angers, France. ⟨hal-02893463⟩
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  David Allouche, Simon de Givry, Georgios Katsirelos, Thomas Schiex, Matthias Zytnicki, et al.. Recent algorithmic advances for combinatorial optimization in graphical models. 23rd International Symposium on Mathematical Programming (ISMP-18), Jul 2018, Bordeaux, France. 80 p. ⟨hal-02785380⟩
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  David Allouche, Christian Bessière, Patrice Boizumault, Simon de Givry, Patricia Gutierrez, et al.. Filtrage de fonctions de coût globales décomposables. Huitièmes Journées Francophones de Programmation par Contraintes (JFPC), Association Française de Programmation par Contraintes (AFPC). FRA., May 2012, Toulouse, France. pp.358. ⟨hal-02747133⟩
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  Abdelkader Ouali, David Allouche, Simon de Givry, Samir Loudni, Yahia Lebbah, et al.. Recherche complète à voisinages variables guidée par la décomposition arborescente pour la minimisation d'énergie dans les modèles graphiques. 9e Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes 2018 (JFRB 2018), May 2018, Toulouse, France. 114 p., ⟨10.3166/RIA.-.1-7⟩. ⟨hal-02733676⟩
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  Pierre Gançarski, Thi-Bich-Hanh Dao, Bruno Crémilleux, Germain Forestier, Thomas Lampert. Constrained Clustering: Current and New Trends. Pierre Marquis, Odile Papini, Henri Prade. A Guided Tour of AI Research, 2, Springer, 2020. ⟨hal-02548212⟩
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  Maksim Koptelov, Albrecht Zimmermann. What can connectivity characteristics of networks tell us about the quality of link predictions?. GEM: Graph Embedding and Mining @ ECML PKDD 2019, Sep 2019, Würzburg, Germany. ⟨hal-02480288⟩
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  Maksim Koptelov, Albrecht Zimmermann, Bruno Cremilleux. Link Prediction via Community Detection in Bipartite Multi-Layer Graphs. Workshop GEM: Graph Embedding and Mining co-located with ECML/PKDD 2019, Sep 2019, Wurzburg, Germany. ⟨hal-02474973⟩
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  Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux, Lina F. Soualmia. Link Prediction via Community Detection in Bipartite Multi-Layer Graphs. 35th ACM/SIGAPP Symposium On Applied Computing, Mar 2020, Brno, Czech Republic. pp.430-439, ⟨10.1145/3341105.3373874⟩. ⟨hal-02474290⟩
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  Soufia Bennai, Kamal Amroun, Samir Loudni. Exploiting Data Mining Techniques for Compressing Table Constraints. IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States. ⟨10.1109/ICTAI.2019.00015⟩. ⟨hal-02463468⟩
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  Anthony Palmieri. Constraint games revisited. Computer Science and Game Theory [cs.GT]. Normandie Université, 2019. English. ⟨NNT : 2019NORMC207⟩. ⟨tel-02366533⟩
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  David Batista Soares, Alain Bretto, Joël Priolon. Efficiency and volatility of spot and futures agricultural markets: Impact of trade frequencies. 2019. ⟨hal-02364549⟩
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  Albrecht Zimmermann. Method Evaluation, Parametrization, and Result Validation in Unsupervised Data Mining: A Critical Survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Wiley, 2019, ⟨10.1002/widm.1330⟩. ⟨hal-02284852⟩
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  Willy Ugarte, Samir Loudni, Patrice Boizumault, Bruno Crémilleux, Alexandre Termier. Compressing and Querying Skypattern Cubes. IEA/AIE-2019 - 32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Jul 2019, Graz, Austria. pp.406-421, ⟨10.1007/978-3-030-22999-3_36⟩. ⟨hal-02190788⟩
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  David Allouche, Sophie Barbe, Simon de Givry, George Katsirelos, Yahia Lebbah, et al.. Cost Function Networks to Solve Large Computational Protein Design Problems. Malek Masmoudi, Bassem Jarboui, Patrick Siarry. Operations Research and Simulation in healthcare, Springer, pp.81-102, In press, 978-3-030-45222-3. ⟨10.1007/978-3-030-45223-0_4⟩. ⟨hal-02177634⟩

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