Imprecise sampling and direct decision making. - Christophe Gonzales; Jean-Yves Jaffray (Ann. Oper. Res., 1998)

GAI Networks for Utility Elicitation. - Christophe Gonzales; Patrice Perny (KR, 2004)

Une unification des algorithmes d'inférence de Pearl et de Jensen. - Olfa Ben Naceur-Mourali; Christophe Gonzales (Rev. d'Intelligence Artif., 2004)

Learning Bayesian Networks Structure using Markov Networks. - Christophe Gonzales; N. Jouve (Probabilistic Graphical Models, 2006)

On Directed and Undirected Propagation Algorithms for Bayesian Networks. - Christophe Gonzales; Khaled Mellouli; Olfa Mourali (ECSQARU, 2007)

Réseaux GAI pour la prise de décision. - Christophe Gonzales; Patrice Perny; Sergio Queiroz (Rev. d'Intelligence Artif., 2007)

Preference Aggregation with Graphical Utility Models. - Christophe Gonzales; Patrice Perny; Sergio Queiroz (AAAI, 2008)

Multiattribute Utility Theory. - Mohammed Abdellaoui; Christophe Gonzales (Decision-making Process, 2009)

Choquet Optimization Using GAI Networks for Multiagent/Multicriteria Decision-Making. - Jean-Philippe Dubus; Christophe Gonzales; Patrice Perny (ADT, 2009)

Fast Recommendations using GAI Models. - Jean-Philippe Dubus; Christophe Gonzales; Patrice Perny (IJCAI, 2009)

Multiobjective Optimization using GAI Models. - Jean-Philippe Dubus; Christophe Gonzales; Patrice Perny (IJCAI, 2009)

Simultaneous Partitioned Sampling for Articulated Object Tracking. - Christophe Gonzales; Séverine Dubuisson; Xuan Son Nguyen (ACIVS, 2011)

Swapping-Based Partitioned Sampling for Better Complex Density Estimation: Application to Articulated Object Tracking. - Séverine Dubuisson; Christophe Gonzales; Xuan Son Nguyen (SUM, 2011)

Patterns Discovery for Efficient Structured Probabilistic Inference. - Lionel Torti; Christophe Gonzales; Pierre-Henri Wuillemin (SUM, 2011)

Decision making with multiple objectives using GAI networks. - Christophe Gonzales; Patrice Perny; Jean-Philippe Dubus (Artif. Intell., 2011)

An optimized DBN-based mode-focussing particle filter. - Séverine Dubuisson; Christophe Gonzales (CVPR, 2012)

Min-Space Integral Histogram. - Séverine Dubuisson; Christophe Gonzales (ECCV (2), 2012)

Fast multiple histogram computation using Kruskal's algorithm. - Raoul Berger; Séverine Dubuisson; Christophe Gonzales (ICIP, 2012)

DBN-Based Combinatorial Resampling for Articulated Object Tracking. - Séverine Dubuisson; Christophe Gonzales; Xuan Son Nguyen (UAI, 2012)

Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking. - Xuan Son Nguyen; Séverine Dubuisson; Christophe Gonzales (CAIP (1), 2013)

Sub-sample swapping for sequential Monte Carlo approximation of high-dimensional densities in the context of complex object tracking. - Séverine Dubuisson; Christophe Gonzales; Xuan Son Nguyen (Int. J. Approx. Reason., 2013)

Speeding-up structured probabilistic inference using pattern mining. - Lionel Torti; Christophe Gonzales; Pierre-Henri Wuillemin (Int. J. Approx. Reason., 2013)

Estimation de densités non paramétriques et multimodales par permutation de sous-particules. Application au suivi d'un ou de plusieurs objets synthétiques articulés. - Séverine Dubuisson; Christophe Gonzales (Rev. d'Intelligence Artif., 2013)

Single machine scheduling with delivery dates and cumulative payoffs. - Yasmina Seddik; Christophe Gonzales; Safia Kedad-Sidhoum (J. Sched., 2013)

An Efficient Bayesian Network Structure Learning Algorithm in the Presence of Deterministic Relations. - Ahmed Mabrouk; Christophe Gonzales; Karine Jabet-Chevalier; Eric Chojnacki (ECAI, 2014)

Uncertain Reasoning for Business Rules. - Hamza Agli; Philippe Bonnard; Pierre-Henri Wuillemin; Christophe Gonzales (Challenge+DC@RuleML, 2014)

A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection. - Christophe Gonzales; Séverine Dubuisson; Cristina E. Manfredotti (FLAIRS, 2015)

Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach. - Carlos Maestre; Antoine Cully; Christophe Gonzales; Stéphane Doncieux (ICDL-EPIROB, 2015)

Multivariate Cluster-Based Discretization for Bayesian Network Structure Learning. - Ahmed Mabrouk; Christophe Gonzales; Karine Jabet-Chevalier; Eric Chojnacki (SUM, 2015)

Combinatorial Resampling Particle Filter: An Effective and Efficient Method for Articulated Object Tracking. - Christophe Gonzales; Séverine Dubuisson (Int. J. Comput. Vis., 2015)

Performance guarantees for a scheduling problem with common stepwise job payoffs. - Yasmina Seddik; Christophe Gonzales; Safia Kedad-Sidhoum (Theor. Comput. Sci., 2015)

Video Event Detection Based Non-stationary Bayesian Networks. - Christophe Gonzales; Rim Romdhane; Séverine Dubuisson (ACIVS, 2016)

Testing Independencies in Bayesian Networks with i-Separation. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira; Christophe Gonzales (FLAIRS, 2016)

Bayesian Networks with Conditional Truncated Densities. - Santiago Cortijo; Christophe Gonzales (FLAIRS, 2016)

Incremental Junction Tree Inference. - Hamza Agli; Philippe Bonnard; Christophe Gonzales; Pierre-Henri Wuillemin (IPMU (1), 2016)

Real Time Learning of Non-stationary Processes with Dynamic Bayesian Networks. - Matthieu Hourbracq; Pierre-Henri Wuillemin; Christophe Gonzales; Philippe Baumard (IPMU (1), 2016)

Business Rules Uncertainty Management with Probabilistic Relational Models. - Hamza Agli; Philippe Bonnard; Christophe Gonzales; Pierre-Henri Wuillemin (RuleML, 2016)

A survey of datasets for visual tracking. - Séverine Dubuisson; Christophe Gonzales (Mach. Vis. Appl., 2016)

Learning and Selection of Dynamic Bayesian Networks for Non-Stationary Processes in Real Time. - Matthieu Hourbracq; Pierre-Henri Wuillemin; Christophe Gonzales; Philippe Baumard (FLAIRS, 2017)

Iterative affordance learning with adaptive action generation. - Carlos Maestre; Ghanim Mukhtar; Christophe Gonzales; Stéphane Doncieux (ICDL-EPIROB, 2017)

aGrUM: A Graphical Universal Model Framework. - Christophe Gonzales; Lionel Torti; Pierre-Henri Wuillemin (IEA/AIE (2), 2017)

Improving Probabilistic Rules Compilation using PRM. - Gaspard Ducamp; Philippe Bonnard; Christian de Sainte Marie; Christophe Gonzales; Pierre-Henri Wuillemin (RuleML+RR (Supplement), 2018)

On a simple method for testing independencies in Bayesian networks. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira; Christophe Gonzales (Comput. Intell., 2018)

An empirical study of testing independencies in Bayesian networks using rp-separation. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira; Christophe Gonzales (Int. J. Approx. Reason., 2018)

On conditional truncated densities Bayesian networks. - Santiago Cortijo; Christophe Gonzales (Int. J. Approx. Reason., 2018)

Inférence incrémentale pour les modèles. - Hamza Agli; Philippe Bonnard; Christophe Gonzales; Pierre-Henri Wuillemin (Rev. d'Intelligence Artif., 2018)

Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non stationnaires. - Matthieu Hourbracq; Pierre-Henri Wuillemin; Christophe Gonzales; Philippe Baumard (Rev. d'Intelligence Artif., 2018)

Dealing with Continuous Variables in Graphical Models. - Christophe Gonzales (SUM, 2019)

Action Generation Adapted to Low-Level and High-Level Robot-Object Interaction States. - Carlos Maestre; Ghanim Mukhtar; Christophe Gonzales; Stéphane Doncieux (Frontiers Neurorobotics, 2019)

Multicriteria Decision Making. - Christophe Gonzales; Patrice Perny (A Guided Tour of Artificial Intelligence Research (1) (I), 2020)

Decision Under Uncertainty. - Christophe Gonzales; Patrice Perny (A Guided Tour of Artificial Intelligence Research (1) (I), 2020)

aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python. - Gaspard Ducamp; Christophe Gonzales; Pierre-Henri Wuillemin (PGM, 2020)

Constraint-Based Bayesian Network Structure Learning using Uncertain Experts' Knowledge. - Christophe Gonzales; Axel Journe; Ahmed Mabrouk (FLAIRS, 2021)

A Hybrid Algorithm for Learning Causal Networks using Uncertain Experts' Knowledge. - Christophe Gonzales; Axel Journe; Ahmed Mabrouk (PGM, 2022)

A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders. - Christophe Gonzales; Amir-Hosein Valizadeh (ECAI, 2024)