Articles

Viappiani P. (2024), Volumetric Aggregation Methods for Scoring Rules with Unknown Weights, Group Decision and Negotiation, vol. 33, p. 515–563

Vandeputte J., Herold P., Kuslii M., Viappiani P., Muller L., Martin C., Davidenko O., Delaere F., Manfredotti C., Cornuéjols A., Darcel N. (2023), Principles and Validations of an Artificial Intelligence-Based Recommender System Suggesting Acceptable Food Changes, The Journal of Nutrition, vol. 153, n°2, p. 598-604

Communications avec actes

Jacquet N., Guigue V., Manfredotti C., Saïs F., Dervaux S., Viappiani P. (2024), Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire, in Jérôme Gensel ; Christophe Cruz ; Hocine Cherif, Editions RNTI, 131-142 p.

Bronzini M., Robbi E., Viappiani P., Passerini A. (2023), Environmentally-Aware Bundle Recommendation Using the Choquet Integral, in Kobi Gal . Ann Nowé ; Grzegorz J. Nalepa ; Roy Fairstein ; Roxana Rădulescu, Amsterdam, IOS Press, 3182-3189 p.

Pourkhajouei S., Toffano F., Viappiani P., Wilson N. (2023), An Efficient Non-Bayesian Approach for Interactive Preference Elicitation Under Noisy Preference Models, in Zied Bouraoui ; Srdjan Vesic, Berlin Heidelberg, Springer International Publishing, 308-321 p.

Konieczny S., Moretti S., Ravier A., Viappiani P. (2022), Selecting the Most Relevant Elements from a Ranking over Sets, in Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, Nico Potyka, Springer, 172-185 p.

Napolitano B., Cailloux O., Viappiani P. (2021), Simultaneous Elicitation of Scoring Rule and Agent Preferences for Robust Winner Determination, in Dimitris Fotakis, David Ríos Insua, Springer, 51-67 p.

Prépublications / Cahiers de recherche

Jacquet N., Manfredotti C., Guigue V., Saïs F., Viappiani P. (2023), An EXplainable RecommandER SYStem for the Nutrition Domain, combining Knowledge Graphs and Machine Learning, Paris, Preprint Lamsade