Yuehgoh Foutse, Sonia Djebali, Nicolas Travers. Leveraging recommendations using a multiplex graph database. International Journal of Web Information Systems, 2024, ⟨10.1108/IJWIS-05-2024-0137⟩. ⟨hal-04754166⟩
Victor David, Raphaël Fournier-S 'Niehotta, Nicolas Travers. MAP Inference Reasoning on TMLN with Neo4j. BDA'24, Oct 2024, Orléans, France. ⟨hal-04753923⟩
Yuehgoh Foutse, Sonia Djebali, Nicolas Travers. A Multiplex Graph for Recommending Multidimensional Documents. BDA'24, Oct 2024, Orléans, France. ⟨hal-04754155⟩
Yuehgoh Foutse, Sonia Djebali, Nicolas Travers. How to recommend Multidimensional Documents with a Multiplex Graph?. Deep Learning Indaba, Sep 2024, Dakar (Sénégal), Senegal. . ⟨hal-04754030⟩
Jihane Mali, Shohreh Ahvar, Faten Atigui, Ahmed Azough, Nicolas Travers. FACT-DM : A Framework for Automated Cost-Based Data Model Transformation. EDBT'24, Mar 2024, Peastum, Italy. pp.822-825, ⟨10.48786/edbt.2024.79⟩. ⟨hal-04754183⟩
Pierre Lefebvre, Steven Le Moal, Ahmed Azough, Nicolas Travers. NeoSGG: A Scene Graph Generation Framework for Video-Surveillance Tasks. EDBT'24, Mar 2024, Peastum, Italy. pp.838-841, ⟨10.48786/edbt.2024.83⟩. ⟨hal-04754208⟩
Wissal Benjira, Faten Atigui, Bénédicte Bucher, Malika Grim-Yefsah, Nicolas Travers. Modélisation des données ouvertes au service des ODD. Extraction et Gestion des Connaissances, Université de Dijon, Jan 2024, Dijon, France. https://editions-rnti.fr/?lg=fr. ⟨hal-04603102⟩
Oussama Ayoub, Christophe Rodrigues, Nicolas Travers. LoGE: an unsupervised local-global document extension generation in information retrieval for long documents. International Journal of Web Information Systems, 2023, 19 (5/6), pp.244-262. ⟨10.1108/IJWIS-07-2023-0109⟩. ⟨hal-04347068⟩
Victor David, Raphaël Fournier-S 'Niehotta, Nicolas Travers. NeoMaPy: calcul de MAP inference sur des graphs de connaissance temporels. BDA'23, Oct 2023, Montpellier, France. . ⟨hal-04754144⟩
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