Content-Based Video Segmentation using Statistical Motion Models. - Nathalie Peyrard; Patrick Bouthemy (BMVC, 2002)

Detection of meaningful events in videos based on a supervised classification approach. - Nathalie Peyrard; Patrick Bouthemy (ICIP (3), 2003)

Motion-based selection of relevant video segments for video summarisation. - Nathalie Peyrard; Patrick Bouthemy (ICME, 2003)

Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations. - Florence Forbes; Nathalie Peyrard (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

EM procedures using mean field-like approximations for Markov model-based image segmentation. - Gilles Celeux; Florence Forbes; Nathalie Peyrard (Pattern Recognit., 2003)

Motion-Based Selection of Relevant Video Segments for Video Summarization. - Nathalie Peyrard; Patrick Bouthemy (Multim. Tools Appl., 2005)

Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes. - Nathalie Peyrard; Régis Sabbadin (ECAI, 2006)

Decision-theoretic Optimal Sampling in Hidden Markov Random Fields. - Nathalie Peyrard; Régis Sabbadin; U. Farrokh Niaz (ECAI, 2010)

Chordal Graphs to Identify Graphical Model Solutions of Maximum of Entropy Under Constraints on Marginals. - Alain Franc; M. Goulard; Nathalie Peyrard (SIAM J. Discret. Math., 2010)

A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields. - Mathieu Bonneau; Nathalie Peyrard; Régis Sabbadin (ECAI, 2012)

A framework and a mean-field algorithm for the local control of spatial processes. - Régis Sabbadin; Nathalie Peyrard; Nicklas Forsell (Int. J. Approx. Reason., 2012)

Méthodes variationnelles pour l'estimation, l'inférence et la décision dans les modèles graphiques. - Nathalie Peyrard (2013)

On the difficulty to delimit disease risk hot spots. - M. Charras-Garrido; Lamiae Azizi; Florence Forbes; Senan Doyle; Nathalie Peyrard; D. Abrial (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Décision dans les agro-écosystèmes. - Gauthier Quesnel; Mahuna Akplogan; Mathieu Bonneau; Roger Martin-Clouaire; Nathalie Peyrard; Jean-Pierre Rellier; Régis Sabbadin; Ronan Trépos (Rev. d'Intelligence Artif., 2013)

Model-based adaptive spatial sampling for occurrence map construction. - Nathalie Peyrard; Régis Sabbadin; Daniel Spring; Barry W. Brook; Ralph Mac Nally (Stat. Comput., 2013)

Finding good stochastic factored policies for factored Markov decision processes. - Julia Radoszycki; Nathalie Peyrard; Régis Sabbadin (ECAI, 2014)

Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction. - Mathieu Bonneau; Sabrina Gaba; Nathalie Peyrard; Régis Sabbadin (Comput. Stat. Data Anal., 2014)

An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs. - Alexandre Albore; Nathalie Peyrard; Régis Sabbadin; Florent Teichteil-Königsbuch (ICAPS, 2015)

Solving F3MDPs: Collaborative Multiagent Markov Decision Processes with Factored Transitions, Rewards and Stochastic Policies. - Julia Radoszycki; Nathalie Peyrard; Régis Sabbadin (PRIMA, 2015)

Exact and approximate inference in graphical models: variable elimination and beyond. - Nathalie Peyrard; Simon de Givry; Alain Franc; Stéphane Robin; Régis Sabbadin; Thomas Schiex; Matthieu Vignes (CoRR, 2015)

Labeled DBN Learning with Community Structure Knowledge. - Etienne Auclair; Nathalie Peyrard; Régis Sabbadin (ECML/PKDD (2), 2017)

Réseau bayésien dynamique étiqueté pour l'apprentissage de structure d'un réseau écologique. - Etienne Auclair; Nathalie Peyrard; Régis Sabbadin (Rev. d'Intelligence Artif., 2018)