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2020 – today
- 2020
[c15]Tu My Doan, François Jacquenet, Christine Largeron, Marc Bernard:
A Study of Text Summarization Techniques for Generating Meeting Minutes. RCIS 2020: 522-528
2010 – 2019
- 2019
- [c14]François Jacquenet, Marc Bernard, Christine Largeron:
Meeting Summarization, A Challenge for Deep Learning. IWANN (1) 2019: 644-655 - 2012
- [c13]François Jacquenet, Marc Bernard:
(Generic) Packages for Logic Programs. ICTAI 2012: 1010-1015 - 2011
- [c12]Marc Bernard, Baptiste Jeudy, Jean-Philippe Peyrache, Marc Sebban, Franck Thollard:
Using the H-Divergence to Prune Probabilistic Automata. ICTAI 2011: 725-731 - [p1]Simon Baillarin, Aurélie Bouillon, Marc Bernard:
Automatic and precise orthorectification of SPOT images. Image Registration for Remote Sensing 2011: 415-425 - 2010
- [j5]Aurélien Bellet, Marc Bernard, Thierry Murgue, Marc Sebban:
Learning state machine-based string edit kernels. Pattern Recognit. 43(6): 2330-2339 (2010)
2000 – 2009
- 2008
- [j4]Marc Bernard, Laurent Boyer, Amaury Habrard, Marc Sebban:
Learning probabilistic models of tree edit distance. Pattern Recognit. 41(8): 2611-2629 (2008) - 2006
- [c11]Marc Bernard, Amaury Habrard, Marc Sebban:
Learning Stochastic Tree Edit Distance. ECML 2006: 42-53 - [c10]Marc Bernard, Jean-Christophe Janodet, Marc Sebban:
A Discriminative Model of Stochastic Edit Distance in the Form of a Conditional Transducer. ICGI 2006: 240-252 - 2005
- [j3]Amaury Habrard, Marc Bernard, Marc Sebban:
Detecting Irrelevant Subtrees to Improve Probabilistic Learning from Tree-structured Data. Fundam. Informaticae 66(1-2): 103-130 (2005) - [c9]Amaury Habrard, Marc Bernard, Marc Sebban:
Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms. FLAIRS 2005: 493-498 - 2004
- [c8]Marc Bernard:
EARD-InfoSys+: Informationssystem zur Abbildung der Organisations- und Projektlandschaft in der Europäischen Agrarforschung für Entwicklung. GIL Jahrestagung 2004: 249-252 - 2003
- [c7]Amaury Habrard, Marc Bernard, François Jacquenet:
Multi-relational Data Mining in Medical Databases. AIME 2003: 365-374 - [c6]Amaury Habrard, Marc Bernard, Marc Sebban:
Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference. ECML 2003: 169-180 - 2002
- [c5]Amaury Habrard, Marc Bernard, François Jacquenet:
Generalized Stochastic Tree Automata for Multi-relational Data Mining. ICGI 2002: 120-133
1990 – 1999
- 1999
- [c4]François Jacquenet, Marc Bernard, C. Nicolini:
Learning what is important to learn, some experiments with inductive logic programming. CATA 1999: 188-192 - 1998
- [j2]Marc Bernard, François Jacquenet:
Discovering Rules to Design Newspapers: An Inductive Constraint Logic Programming Approach. Appl. Artif. Intell. 12(6): 547-567 (1998) - [c3]Marc Bernard, François Jacquenet:
Des programmes logiques avec contraintes qui apprennent des programmes logiques avec contraintes. JFPLC 1998: 51-76 - 1997
- [j1]Marc Bernard, François Jacquenet:
Free Space Modeling for Placing Rectangles without Overlapping. J. Univers. Comput. Sci. 3(6): 703-720 (1997)
1980 – 1989
- 1989
- [c2]Fabrice Heitz, Henri Maître, Marc Bernard, Charles de Couessin:
Event detection in multisource imaging using contextual estimation. ICASSP 1989: 1647-1650 - 1988
- [c1]Nicolas Demassieux, Francis Jutand, Marc Bernard, Christophe Joanblanq:
A VLSI architecture for real-time image convolution with large symmetric kernels. ICASSP 1988: 1961-1964
Coauthor Index
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