You will find a comprehensive list of my publications bellow. Note that you also can visit my ResearchGate profile, my Google Scholar webpage, and my publication list proposed by DBLP.

Ph.D. thesis manuscript:

  • Algorithmes efficaces pour l’apprentissage de réseaux de préférences conditionnelles à partir de données bruitées. Paris-Dauphine, Sep. 2018.
    Pdf version

Journals:

  • Diyé Dia, Giacomo Kahn, Fabien Labernia, Yannick Loiseau, Olivier Raynaud:
    A closed sets based learning classifier for implicit authentication in web browsing. Discrete Applied Mathematics, 2018.
    Pdf version
  • Fabien Labernia, Florian Yger, Brice Mayag, Jamal Atif:
    Query-based learning of acyclic conditional preference networks from contradictory preferences. EURO Journal on Decision Processes, pages 1–21, Sep. 2017.
    Pdf version

Conferences and workshops:

  • Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif:
    Online Learning of Acyclic Conditional Preference Networks from Noisy Data. ICDM 2017 (New Orleans).
    Pdf version
  • Fabien Labernia, Florian Yger, Brice Mayag, Jamal Atif:
    Query-based learning of acyclic conditional preference networks from noisy data. DA2PL 2016 (Paderborn).
    Pdf version
  • Quentin Brabant, Miguel Couceiro, Fabien Labernia, Amedeo Napoli:
    Une approche de réduction de dimensionnalité pour l’agrégation de préférences qualitatives. EGC 2016: 345-350.
    Pdf version
  • Olivier Coupelon, Diyé Dia, Fabien Labernia, Yannick Loiseau, Olivier Raynaud:
    Using Closed Itemsets for Implicit User Authentication in Web Browsing. CLA 2014: 131-144.
    Pdf version

Abstract:

  • Fabien Labernia, Brice Mayag:
    Élicitation des Paramètres d’ELECTRE TRI : Apprentissage par Réduction. ROADEF 2016 (Compiègne).
    Pdf version

Technical report:

  • Fabien Labernia, Olivier Raynaud:
    Recursive definition of the lattice of Moore families. UBP, Jul. 2013 (Aubière).
    Pdf version