| PAC learning from positive statistical queries F Denis International conference on algorithmic learning theory, 112-126, 1998 | 237 | 1998 |
| Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms P Dupont, F Denis, Y Esposito Pattern recognition 38 (9), 1349-1371, 2005 | 208 | 2005 |
| Learning from positive and unlabeled examples F Denis, R Gilleron, F Letouzey Theoretical Computer Science 348 (1), 70-83, 2005 | 178 | 2005 |
| Text classification from positive and unlabeled examples F Denis, R Gilleron, M Tommasi Proceedings of the 9th International Conference on Information Processing …, 2002 | 151 | 2002 |
| Learning from positive and unlabeled examples F Letouzey, F Denis, R Gilleron International Conference on Algorithmic Learning Theory, 71-85, 2000 | 137 | 2000 |
| Positive and unlabeled examples help learning F De Comité, F Denis, R Gilleron, F Letouzey Algorithmic Learning Theory: 10th International Conference, ALT’99 Tokyo …, 1999 | 135 | 1999 |
| Text classification and co-training from positive and unlabeled examples F Denis, A Laurent, R Gilleron, M Tommasi Proceedings of the ICML 2003 workshop: the continuum from labeled to …, 2003 | 110 | 2003 |
| Learning regular languages from simple positive examples F Denis Machine Learning 44, 37-66, 2001 | 95 | 2001 |
| Learning regular languages using RFSAs F Denis, A Lemay, A Terlutte Theoretical computer science 313 (2), 267-294, 2004 | 88 | 2004 |
| Residual finite state automata F Denis, A Lemay, A Terlutte Fundamenta Informaticae 51 (4), 339-368, 2002 | 87 | 2002 |
| Grammatical inference as a principal component analysis problem R Bailly, F Denis, L Ralaivola Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 76 | 2009 |
| Correlates of adherence to respiratory drugs in COPD patients L Laforest, F Denis, E Van Gansea, C Ritleng, C Saussier, N Passante, ... Primary Care Respiratory Journal 19 (2), 148-154, 2010 | 62 | 2010 |
| Residual finite state automata F Denis, A Lemay, A Terlutte Annual Symposium on Theoretical Aspects of Computer Science, 144-157, 2001 | 54* | 2001 |
| Strengths and limitations of the minimum evolution principle O Gascuel, D Bryant, F Denis Systematic Biology 50 (5), 621-627, 2001 | 48 | 2001 |
| On rational stochastic languages F Denis, Y Esposito Fundamenta Informaticae 86 (1-2), 41-77, 2008 | 47 | 2008 |
| A spectral approach for probabilistic grammatical inference on trees R Bailly, A Habrard, F Denis International Conference on Algorithmic Learning Theory, 74-88, 2010 | 42 | 2010 |
| Learning rational stochastic languages F Denis, Y Esposito, A Habrard International Conference on Computational Learning Theory, 274-288, 2006 | 38 | 2006 |
| Learning probabilistic residual finite state automata Y Esposito, A Lemay, F Denis, P Dupont Grammatical Inference: Algorithms and Applications: 6th International …, 2002 | 35 | 2002 |
| Learning probabilistic residual finite state automata Y Esposito, A Lemay, F Denis, P Dupont Grammatical Inference: Algorithms and Applications: 6th International …, 2002 | 35 | 2002 |
| PAC learning with simple examples F Denis, C D'Halluin, R Gilleron Annual Symposium on Theoretical Aspects of Computer Science, 231-242, 1996 | 34 | 1996 |
