| Transforming XML trees for efficient classification and clustering L Candillier, I Tellier, F Torre International Workshop of the Initiative for the Evaluation of XML Retrieval …, 2005 | 56 | 2005 |
| Cascade evaluation of clustering algorithms L Candillier, I Tellier, F Torre, O Bousquet Machine Learning: ECML 2006: 17th European Conference on Machine Learning …, 2006 | 35 | 2006 |
| Boosting multi-task weak learners with applications to textual and social data JB Faddoul, B Chidlovskii, F Torre, R Gilleron 2010 Ninth International Conference on Machine Learning and Applications …, 2010 | 32 | 2010 |
| SSC: statistical subspace clustering L Candillier, I Tellier, F Torre, O Bousquet Machine Learning and Data Mining in Pattern Recognition: 4th International …, 2005 | 29 | 2005 |
| Learning multiple tasks with boosted decision trees JB Faddoul, B Chidlovskii, R Gilleron, F Torre Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 28 | 2012 |
| Globoost: Boosting de moindres généralisés F Torre Actes de la Sixième Conférence Apprentissage CAp, 49-64, 2004 | 15 | 2004 |
| Natural ideal operators in inductive logic programming F Torre, C Rouveirol Machine Learning: ECML-97: 9th European Conference on Machine Learning …, 1997 | 13 | 1997 |
| Interactive tuples extraction from semi-structured data R Gilleron, P Marty, M Tommasi, F Torre 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main …, 2006 | 11 | 2006 |
| Boosting correct least general generalizations F Torre Technical Report GRAppA Report 0104, Université Lille III, 2004 | 11 | 2004 |
| GloBo: un algorithme stochastique pour l’apprentissage supervisé et non-supervisé F Torre Actes de la Première Conférence d’Apprentissage, 161-168, 1999 | 11 | 1999 |
| The relationship between cognition and vocational training outcome in patients with acquired brain injury: Contribution of Machine Learning R Manoli, L Chartaux-Danjou, H Delecroix, W Daveluy, F Torre, C Moroni Applied Neuropsychology: Adult 29 (2), 212-222, 2022 | 8 | 2022 |
| Sequences classification by least general generalisations F Tantini, A Terlutte, F Torre Grammatical Inference: Theoretical Results and Applications: 10th …, 2010 | 7 | 2010 |
| Private properties and natural relations in inductive logic programming F Torre, C Rouveirol Université Paris-Sud, Centre d'Orsay, Laboratoire de recherche en Informatique, 1997 | 7 | 1997 |
| GloBoost Combinaisons de moindres généralisés: Produire des moindres généralisés et les combiner au sein d'un vote pondéré F Torre Revue d'intelligence artificielle 19 (4-5), 769-797, 2005 | 6 | 2005 |
| Codages et connaissances en extraction d’information P Marty, F Torre 6ieme Conférence francophone sur l’apprentissage automatique, 207-222, 2004 | 6 | 2004 |
| Évaluation en cascade d'algorithmes de clustering L Candillier, I Tellier, F Torre, O Bousquet Conférence d'Apprentissage, 2006 | 5 | 2006 |
| Opérateurs naturels en programmation logique inductive F Torre, C Rouveirol 12es Journ es fran aises d'apprentissage, JFA 97, 0 | 5 | |
| Méthodes d'ensemble en inférence grammaticale: une approche à base de moindres généralisés F Torre, A Terlutte 11e Conférence francophone sur l'Apprentissage automatique (CAp'2009), 33-48, 2009 | 4 | 2009 |
| Machine learning modelling of neuropsychological performance could determine vocational training outcome after a brain injury: Case report. R Manoli, L Chartaux-Danjou, H Delecroix, W Daveluy, F Torre, C Moroni Annals of Physical and Rehabilitation Medicine 64 (1), 101377-101377, 2020 | 3 | 2020 |
| Apprentissage relationnel polynomial pour la classification d'arbres J Decoster, S Staworko, F Torre CAp-Conférence Francophone sur l'Apprentissage Automatique-2010, 189-200, 2010 | 3 | 2010 |
Isabelle Tellieruniversité Paris 3 Sorbonne Nouvelle - LatticeVerified email at univ-paris3.fr
