A Markovian Approach to the Induction of Regular String Distributions. - Jérôme Callut; Pierre Dupont (ICGI, 2004)

Séparateurs à Vaste Marge Optimisant la Fonction Fbeta. - Jérôme Callut; Pierre Dupont (CAP, 2005)

Inducing Hidden Markov Models to Model Long-Term Dependencies. - Jérôme Callut; Pierre Dupont (ECML, 2005)

Fβ support vector machines. - Jérôme Callut; Pierre Dupont (IJCNN, 2005)

Sequence Discrimination Using Phase-Type Distributions. - Jérôme Callut; Pierre Dupont (ECML, 2006)

Learning Partially Observable Markov Models from First Passage Times. - Jérôme Callut; Pierre Dupont (ECML, 2007)

First passage times dynamics in Markov Models with applications to HMM : induction, sequence classification and graph mining. - Jérôme Callut (2007)

Classification in Graphs using Discriminative Random Walks. - Jérôme Callut; Kevin Françoisse; Marco Saerens; Pierre Dupont (MLG@ICML, 2008)

Semi-supervised Classification from Discriminative Random Walks. - Jérôme Callut; Kevin Françoisse; Marco Saerens; Pierre Dupont (ECML/PKDD (1), 2008)

Pathway discovery in metabolic networks by subgraph extraction. - Karoline Faust; Pierre Dupont; Jérôme Callut; Jacques van Helden (Bioinform., 2010)

The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph. - Amin Mantrach; Luh Yen; Jérôme Callut; Kevin Françoisse; Masashi Shimbo; Marco Saerens (IEEE Trans. Pattern Anal. Mach. Intell., 2010)