Christophe Gonzales

59 papers A* 5A 3B 3C 1Misc 5Journal 19Unranked 19
YearRankTypeTitle / Venue / Authors
2024 A conf
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders.
ECAI
Christophe Gonzales, Amir-Hosein Valizadeh
2024 J jnl
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders.
CoRR
Christophe Gonzales, Amir-Hosein Valizadeh
2022 — conf
A Hybrid Algorithm for Learning Causal Networks using Uncertain Experts' Knowledge.
PGM
Christophe Gonzales, Axel Journe, Ahmed Mabrouk
2021 Misc conf
Constraint-Based Bayesian Network Structure Learning using Uncertain Experts' Knowledge.
FLAIRS
Christophe Gonzales, Axel Journe, Ahmed Mabrouk
2020 — ch.
Decision Under Uncertainty.
A Guided Tour of Artificial Intelligence Research (1) (I)
Christophe Gonzales, Patrice Perny
2020 — ch.
Multicriteria Decision Making.
A Guided Tour of Artificial Intelligence Research (1) (I)
Christophe Gonzales, Patrice Perny
2020 — conf
aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python.
PGM
Gaspard Ducamp, Christophe Gonzales, Pierre-Henri Wuillemin
2019 J jnl
Action Generation Adapted to Low-Level and High-Level Robot-Object Interaction States.
Frontiers Neurorobotics
Carlos Maestre, Ghanim Mukhtar, Christophe Gonzales, Stéphane Doncieux
2019 — conf
Dealing with Continuous Variables in Graphical Models.
SUM
Christophe Gonzales
2018 J jnl
An empirical study of testing independencies in Bayesian networks using rp-separation.
Int. J. Approx. Reason.
Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
2018 J jnl
Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non stationnaires.
Rev. d'Intelligence Artif.
Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard
2018 — conf
Improving Probabilistic Rules Compilation using PRM.
RuleML+RR (Supplement)
Gaspard Ducamp, Philippe Bonnard, Christian de Sainte Marie, Christophe Gonzales, Pierre-Henri Wuillemin
2018 J jnl
Inférence incrémentale pour les modèles.
Rev. d'Intelligence Artif.
Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
2018 J jnl
On a simple method for testing independencies in Bayesian networks.
Comput. Intell.
Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
2018 J jnl
On conditional truncated densities Bayesian networks.
Int. J. Approx. Reason.
Santiago Cortijo, Christophe Gonzales
2017 — conf
Iterative affordance learning with adaptive action generation.
ICDL-EPIROB
Carlos Maestre, Ghanim Mukhtar, Christophe Gonzales, Stéphane Doncieux
2017 Misc conf
Learning and Selection of Dynamic Bayesian Networks for Non-Stationary Processes in Real Time.
FLAIRS
Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard
2017 — conf
aGrUM: A Graphical Universal Model Framework.
IEA/AIE (2)
Christophe Gonzales, Lionel Torti, Pierre-Henri Wuillemin
2016 — conf
A Simple Method for Testing Independencies in Bayesian Networks.
Canadian AI
Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
2016 J jnl
A survey of datasets for visual tracking.
Mach. Vis. Appl.
Séverine Dubuisson, Christophe Gonzales
2016 Misc conf
Bayesian Networks with Conditional Truncated Densities.
FLAIRS
Santiago Cortijo, Christophe Gonzales
2016 — conf
Business Rules Uncertainty Management with Probabilistic Relational Models.
RuleML
Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
2016 — conf
Incremental Junction Tree Inference.
IPMU (1)
Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
2016 — conf
Real Time Learning of Non-stationary Processes with Dynamic Bayesian Networks.
IPMU (1)
Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard
2016 Misc conf
Testing Independencies in Bayesian Networks with i-Separation.
FLAIRS
Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
2016 B conf
Video Event Detection Based Non-stationary Bayesian Networks.
ACIVS
Christophe Gonzales, Rim Romdhane, Séverine Dubuisson
2015 Misc conf
A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection.
FLAIRS
Christophe Gonzales, Séverine Dubuisson, Cristina E. Manfredotti
2015 — conf
Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach.
ICDL-EPIROB
Carlos Maestre, Antoine Cully, Christophe Gonzales, Stéphane Doncieux
2015 J jnl
Combinatorial Resampling Particle Filter: An Effective and Efficient Method for Articulated Object Tracking.
Int. J. Comput. Vis.
Christophe Gonzales, Séverine Dubuisson
2015 — conf
Multivariate Cluster-Based Discretization for Bayesian Network Structure Learning.
SUM
Ahmed Mabrouk, Christophe Gonzales, Karine Jabet-Chevalier, Eric Chojnacki
2015 J jnl
Performance guarantees for a scheduling problem with common stepwise job payoffs.
Theor. Comput. Sci.
Yasmina Seddik, Christophe Gonzales, Safia Kedad-Sidhoum
2014 A conf
An Efficient Bayesian Network Structure Learning Algorithm in the Presence of Deterministic Relations.
ECAI
Ahmed Mabrouk, Christophe Gonzales, Karine Jabet-Chevalier, Eric Chojnacki
2014 — ed.
Graph Structures for Knowledge Representation and Reasoning - Third International Workshop, GKR 2013, Beijing, China, August 3, 2013. Revised Selected Papers
GKR
Madalina Croitoru, Sebastian Rudolph, Stefan Woltran, Christophe Gonzales
2014 — conf
Uncertain Reasoning for Business Rules.
Challenge+DC@RuleML
Hamza Agli, Philippe Bonnard, Pierre-Henri Wuillemin, Christophe Gonzales
2013 J jnl
Estimation de densités non paramétriques et multimodales par permutation de sous-particules. Application au suivi d'un ou de plusieurs objets synthétiques articulés.
Rev. d'Intelligence Artif.
Séverine Dubuisson, Christophe Gonzales
2013 — conf
Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking.
CAIP (1)
Xuan Son Nguyen, Séverine Dubuisson, Christophe Gonzales
2013 J jnl
Single machine scheduling with delivery dates and cumulative payoffs.
J. Sched.
Yasmina Seddik, Christophe Gonzales, Safia Kedad-Sidhoum
2013 J jnl
Speeding-up structured probabilistic inference using pattern mining.
Int. J. Approx. Reason.
Lionel Torti, Christophe Gonzales, Pierre-Henri Wuillemin
2013 J jnl
Sub-sample swapping for sequential Monte Carlo approximation of high-dimensional densities in the context of complex object tracking.
Int. J. Approx. Reason.
Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen
2012 A* conf
An optimized DBN-based mode-focussing particle filter.
CVPR
Séverine Dubuisson, Christophe Gonzales
2012 J jnl
DBN-Based Combinatorial Resampling for Articulated Object Tracking
CoRR
Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen
2012 A conf
DBN-Based Combinatorial Resampling for Articulated Object Tracking.
UAI
Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen
2012 B conf
Fast multiple histogram computation using Kruskal's algorithm.
ICIP
Raoul Berger, Séverine Dubuisson, Christophe Gonzales
2012 — conf
Min-Space Integral Histogram.
ECCV (2)
Séverine Dubuisson, Christophe Gonzales
2011 J jnl
Decision making with multiple objectives using GAI networks.
Artif. Intell.
Christophe Gonzales, Patrice Perny, Jean-Philippe Dubus
2011 — conf
Patterns Discovery for Efficient Structured Probabilistic Inference.
SUM
Lionel Torti, Christophe Gonzales, Pierre-Henri Wuillemin
2011 B conf
Simultaneous Partitioned Sampling for Articulated Object Tracking.
ACIVS
Christophe Gonzales, Séverine Dubuisson, Xuan Son Nguyen
2011 — conf
Swapping-Based Partitioned Sampling for Better Complex Density Estimation: Application to Articulated Object Tracking.
SUM
Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen
2009 — conf
Choquet Optimization Using GAI Networks for Multiagent/Multicriteria Decision-Making.
ADT
Jean-Philippe Dubus, Christophe Gonzales, Patrice Perny
2009 A* conf
Fast Recommendations using GAI Models.
IJCAI
Jean-Philippe Dubus, Christophe Gonzales, Patrice Perny
2009 — ch.
Multiattribute Utility Theory.
Decision-making Process
Mohammed Abdellaoui, Christophe Gonzales
2009 A* conf
Multiobjective Optimization using GAI Models.
IJCAI
Jean-Philippe Dubus, Christophe Gonzales, Patrice Perny
2008 A* conf
Preference Aggregation with Graphical Utility Models.
AAAI
Christophe Gonzales, Patrice Perny, Sergio Queiroz
2007 C conf
On Directed and Undirected Propagation Algorithms for Bayesian Networks.
ECSQARU
Christophe Gonzales, Khaled Mellouli, Olfa Mourali
2007 J jnl
Réseaux GAI pour la prise de décision.
Rev. d'Intelligence Artif.
Christophe Gonzales, Patrice Perny, Sergio Queiroz
2006 — conf
Learning Bayesian Networks Structure using Markov Networks.
Probabilistic Graphical Models
Christophe Gonzales, N. Jouve
2004 A* conf
GAI Networks for Utility Elicitation.
KR
Christophe Gonzales, Patrice Perny
2004 J jnl
Une unification des algorithmes d'inférence de Pearl et de Jensen.
Rev. d'Intelligence Artif.
Olfa Ben Naceur-Mourali, Christophe Gonzales
1998 J jnl
Imprecise sampling and direct decision making.
Ann. Oper. Res.
Christophe Gonzales, Jean-Yves Jaffray