A VLSI architecture for real-time image convolution with large symmetric kernels. - Nicolas Demassieux; Francis Jutand; Marc Bernard; Christophe Joanblanq (ICASSP, 1988)

Event detection in multisource imaging using contextual estimation. - Fabrice Heitz; Henri Maître; Marc Bernard; Charles de Couessin (ICASSP, 1989)

Free Space Modeling for Placing Rectangles without Overlapping. - Marc Bernard; François Jacquenet (J. Univers. Comput. Sci., 1997)

Des programmes logiques avec contraintes qui apprennent des programmes logiques avec contraintes. - Marc Bernard; François Jacquenet (JFPLC, 1998)

Discovering Rules to Design Newspapers: An Inductive Constraint Logic Programming Approach. - Marc Bernard; François Jacquenet (Appl. Artif. Intell., 1998)

Learning what is important to learn, some experiments with inductive logic programming. - François Jacquenet; Marc Bernard; C. Nicolini (CATA, 1999)

Generalized Stochastic Tree Automata for Multi-relational Data Mining. - Amaury Habrard; Marc Bernard; François Jacquenet (ICGI, 2002)

Multi-relational Data Mining in Medical Databases. - Amaury Habrard; Marc Bernard; François Jacquenet (AIME, 2003)

Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference. - Amaury Habrard; Marc Bernard; Marc Sebban (ECML, 2003)

EARD-InfoSys+: Informationssystem zur Abbildung der Organisations- und Projektlandschaft in der Europäischen Agrarforschung für Entwicklung. - Marc Bernard (GIL Jahrestagung, 2004)

Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms. - Amaury Habrard; Marc Bernard; Marc Sebban (FLAIRS, 2005)

Detecting Irrelevant Subtrees to Improve Probabilistic Learning from Tree-structured Data. - Amaury Habrard; Marc Bernard; Marc Sebban (Fundam. Informaticae, 2005)

Learning Stochastic Tree Edit Distance. - Marc Bernard; Amaury Habrard; Marc Sebban (ECML, 2006)

A Discriminative Model of Stochastic Edit Distance in the Form of a Conditional Transducer. - Marc Bernard; Jean-Christophe Janodet; Marc Sebban (ICGI, 2006)

Learning probabilistic models of tree edit distance. - Marc Bernard; Laurent Boyer 002; Amaury Habrard; Marc Sebban (Pattern Recognit., 2008)

Learning state machine-based string edit kernels. - Aurélien Bellet; Marc Bernard; Thierry Murgue; Marc Sebban (Pattern Recognit., 2010)

Automatic and precise orthorectification of SPOT images. - Simon Baillarin; Aurélie Bouillon; Marc Bernard (Image Registration for Remote Sensing, 2011)

Using the H-Divergence to Prune Probabilistic Automata. - Marc Bernard; Baptiste Jeudy; Jean-Philippe Peyrache; Marc Sebban; Franck Thollard (ICTAI, 2011)

(Generic) Packages for Logic Programs. - François Jacquenet; Marc Bernard (ICTAI, 2012)

Meeting Summarization, A Challenge for Deep Learning. - François Jacquenet; Marc Bernard; Christine Largeron (IWANN (1), 2019)

A Study of Text Summarization Techniques for Generating Meeting Minutes. - Tu My Doan; François Jacquenet; Christine Largeron; Marc Bernard (RCIS, 2020)