| Mining probabilistic automata: a statistical view of sequential pattern mining S Jacquemont, F Jacquenet, M Sebban Machine Learning 75 (1), 91-127, 2009 | 27 | 2009 |
| Correct your text with Google S Jacquemont, F Jacquenet, M Sebban IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), 170-176, 2007 | 26 | 2007 |
| Mining frequent logical sequences with SPIRIT-LoG C Masson, F Jacquenet International Conference on Inductive Logic Programming, 166-182, 2002 | 23 | 2002 |
| Multi-relational Data Mining in medical databases A Habrard, M Bernard, F Jacquenet Conference on Artificial Intelligence in Medicine in Europe, 365-374, 2003 | 21 | 2003 |
| Discovering unexpected documents in corpora F Jacquenet, C Largeron Knowledge-Based Systems 22 (6), 421-429, 2009 | 18 | 2009 |
| Generalized stochastic tree automata for multi-relational data mining A Habrard, M Bernard, F Jacquenet International Colloquium on Grammatical Inference, 120-133, 2002 | 18 | 2002 |
| Free Space Modeling for Placing Rectangles without Overlapping. M Bernard, F Jacquenet J. Univers. Comput. Sci. 3 (6), 703-720, 1997 | 16 | 1997 |
| A first-order-logic based model for grounded language learning L Becerra-Bonache, H Blockeel, M Galván, F Jacquenet International Symposium on Intelligent Data Analysis, 49-60, 2015 | 13 | 2015 |
| Hippocratic Multi-Agent Systems. L Crépin, L Vercouter, O Boissier, Y Demazeau, F Jacquenet ICEIS (2), 301-307, 2008 | 13 | 2008 |
| Sensitive data transaction in hippocratic multi-agent systems L Crépin, Y Demazeau, O Boissier, F Jacquenet International Workshop on Engineering Societies in the Agents World, 85-101, 2008 | 11 | 2008 |
| A lower bound on the sample size needed to perform a significant frequent pattern mining task S Jacquemont, F Jacquenet, M Sebban Pattern recognition letters 30 (11), 960-967, 2009 | 10 | 2009 |
| Privacy preservation in a decentralized calendar system L Crépin, Y Demazeau, O Boissier, F Jacquenet 7th International Conference on Practical Applications of Agents and Multi …, 2009 | 9 | 2009 |
| Discovering unexpected information for technology watch F Jacquenet, C Largeron European Conference on Principles of Data Mining and Knowledge Discovery …, 2004 | 9 | 2004 |
| Conversation mining in multi-agent systems A Mounier, O Boissier, F Jacquenet International Central and Eastern European Conference on Multi-Agent Systems …, 2003 | 9 | 2003 |
| Relational grounded language learning L Becerra-Bonache, H Blockeel, M Galván, F Jacquenet ECAI 2016, 1764-1765, 2016 | 8 | 2016 |
| Anomaly detection, consider your dataset first an illustration on fraud detection A Alazizi, A Habrard, F Jacquenet, L He-Guelton, F Oblé, W Siblini 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 6 | 2019 |
| Les Systemes Multi-Agents Hippocratiques L Crépin, L Vercouter, Y Demazeau, F Jacquenet, O Boissier Ph. D. thesis, 2009 | 6 | 2009 |
| Using the structure of documents to improve the discovery of unexpected information F Jacquenet, C Largeron Proceedings of the 2006 ACM symposium on Applied computing, 1036-1042, 2006 | 6 | 2006 |
| Mining information extraction rules from datasheets without linguistic parsing R Agrawal, H Ho, F Jacquenet, M Jacquenet International Conference on Industrial, Engineering and Other Applications …, 2005 | 6 | 2005 |
| Meeting summarization, a challenge for deep learning F Jacquenet, M Bernard, C Largeron International Work-Conference on Artificial Neural Networks, 644-655, 2019 | 5 | 2019 |
Marc SebbanProfessor of Computer Science, Jean Monnet UniversityAdresse e-mail validée de univ-st-etienne.fr
