Nombre de documents


CV de Maxime Gasse

Communication dans un congrès4 documents

  • Maxime Gasse, Alex Aussem. Identifying the irreducible disjoint factors of a multivariate probability distribution.. Alessandro Antonucci; Giorgio Corani; Cassio Polpo de Campos. Probabilistic Graphical Models, Sep 2016, Lugano, Switzerland., JMLR Workshop and Conference Proceedings, 52, pp.183 - 194, 2016, Proceedings of the Eighth International Conference on Probabilistic Graphical Models. <>. <hal-01425447>
  • Maxime Gasse, Alex Aussem. F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets. Paolo Frasconi; Niels Landwehr; Giuseppe Manco; Jilles Vreeken. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2016, Riva del garda, Italy. Springer, Lecture Notes in Computer Science, 9851 (Part I), pp.619 - 631, 2016, Machine Learning and Knowledge Discovery in Databases. <>. <10.1007/978-3-319-46128-1_39>. <hal-01425528>
  • Maxime Gasse, Alex Aussem, Haytham Elghazel. On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property. Francis R. Bach and David M. Blei. International Conference on Machine Learning, Jul 2015, Lille, France. Proceedings of the 32nd International Conference on Machine Learning, 37, pp.2531--2539, 2015, Journal of Machine Learning Reasearch Proceedings. <hal-01234346>
  • Alex Aussem, Pascal Caillet, Sarah Klemm, Maxime Gasse, Anne-Marie Schott, et al.. Analysis of risk factors of hip fracture with causal Bayesian networks. International Work-Conference on Bioinformatics and Biomedical Engineering, Apr 2014, Grenade, Spain. pp.1074-1085, 2014. <hal-01326485>

Thèse1 document

  • Maxime Gasse. Probabilistic Graphical Model Structure Learning: Application to Multi-Label Classification. Artificial Intelligence [cs.AI]. Université Lyon 1 - Claude Bernard, 2017. English. <NNT : 2017LYSE1003>. <tel-01442613v2>

Article dans une revue2 documents