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ORCIDChristophe Gonzales
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2020 – today
- 2024
[c36]Christophe Gonzales, Amir-Hosein Valizadeh:
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders. ECAI 2024: 1712-1719- [i2]Christophe Gonzales, Amir-Hosein Valizadeh:
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders. CoRR abs/2408.11181 (2024) - 2022
- [c35]Christophe Gonzales, Axel Journe, Ahmed Mabrouk:
A Hybrid Algorithm for Learning Causal Networks using Uncertain Experts' Knowledge. PGM 2022: 241-252 - 2021
- [c34]Christophe Gonzales, Axel Journe, Ahmed Mabrouk:
Constraint-Based Bayesian Network Structure Learning using Uncertain Experts' Knowledge. FLAIRS 2021 - 2020
- [c33]Gaspard Ducamp, Christophe Gonzales, Pierre-Henri Wuillemin:
aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python. PGM 2020: 609-612 - [p3]Christophe Gonzales, Patrice Perny:
Multicriteria Decision Making. A Guided Tour of Artificial Intelligence Research (1) (I) 2020: 519-548 - [p2]Christophe Gonzales, Patrice Perny:
Decision Under Uncertainty. A Guided Tour of Artificial Intelligence Research (1) (I) 2020: 549-586
2010 – 2019
- 2019
- [j17]Carlos Maestre, Ghanim Mukhtar, Christophe Gonzales, Stéphane Doncieux:
Action Generation Adapted to Low-Level and High-Level Robot-Object Interaction States. Frontiers Neurorobotics 13: 56 (2019) - [c32]Christophe Gonzales:
Dealing with Continuous Variables in Graphical Models. SUM 2019: 404-408 - 2018
- [j16]Cory J. Butz
, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales:
On a simple method for testing independencies in Bayesian networks. Comput. Intell. 34(3): 789-801 (2018) - [j15]Santiago Cortijo, Christophe Gonzales:
On conditional truncated densities Bayesian networks. Int. J. Approx. Reason. 92: 155-174 (2018) - [j14]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales:
An empirical study of testing independencies in Bayesian networks using rp-separation. Int. J. Approx. Reason. 92: 270-278 (2018) - [j13]Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard:
Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non stationnaires. Rev. d'Intelligence Artif. 32(1): 75-109 (2018) - [j12]Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin:
Inférence incrémentale pour les modèles. Rev. d'Intelligence Artif. 32(1): 111-132 (2018) - [c31]Gaspard Ducamp, Philippe Bonnard, Christian de Sainte Marie, Christophe Gonzales, Pierre-Henri Wuillemin:
Improving Probabilistic Rules Compilation using PRM. RuleML+RR (Supplement) 2018 - 2017
- [c30]Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard:
Learning and Selection of Dynamic Bayesian Networks for Non-Stationary Processes in Real Time. FLAIRS 2017: 742-747 - [c29]Carlos Maestre, Ghanim Mukhtar, Christophe Gonzales, Stéphane Doncieux:
Iterative affordance learning with adaptive action generation. ICDL-EPIROB 2017: 368-375 - [c28]Christophe Gonzales, Lionel Torti, Pierre-Henri Wuillemin:
aGrUM: A Graphical Universal Model Framework. IEA/AIE (2) 2017: 171-177 - 2016
- [j11]Séverine Dubuisson, Christophe Gonzales:
A survey of datasets for visual tracking. Mach. Vis. Appl. 27(1): 23-52 (2016) - [c27]Christophe Gonzales, Rim Romdhane, Séverine Dubuisson:
Video Event Detection Based Non-stationary Bayesian Networks. ACIVS 2016: 419-430 - [c26]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales:
A Simple Method for Testing Independencies in Bayesian Networks. Canadian AI 2016: 213-223 - [c25]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales:
Testing Independencies in Bayesian Networks with i-Separation. FLAIRS 2016: 644-649 - [c24]Santiago Cortijo, Christophe Gonzales:
Bayesian Networks with Conditional Truncated Densities. FLAIRS 2016: 656-661 - [c23]Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin:
Incremental Junction Tree Inference. IPMU (1) 2016: 326-337 - [c22]Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard:
Real Time Learning of Non-stationary Processes with Dynamic Bayesian Networks. IPMU (1) 2016: 338-350 - [c21]Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin:
Business Rules Uncertainty Management with Probabilistic Relational Models. RuleML 2016: 53-67 - 2015
- [j10]Christophe Gonzales, Séverine Dubuisson:
Combinatorial Resampling Particle Filter: An Effective and Efficient Method for Articulated Object Tracking. Int. J. Comput. Vis. 112(3): 255-284 (2015) - [j9]Yasmina Seddik, Christophe Gonzales, Safia Kedad-Sidhoum:
Performance guarantees for a scheduling problem with common stepwise job payoffs. Theor. Comput. Sci. 562: 377-394 (2015) - [c20]Christophe Gonzales, Séverine Dubuisson, Cristina E. Manfredotti:
A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection. FLAIRS 2015: 564-569 - [c19]Carlos Maestre, Antoine Cully, Christophe Gonzales, Stéphane Doncieux:
Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach. ICDL-EPIROB 2015: 7-12 - [c18]Ahmed Mabrouk, Christophe Gonzales, Karine Jabet-Chevalier, Eric Chojnacki:
Multivariate Cluster-Based Discretization for Bayesian Network Structure Learning. SUM 2015: 155-169 - 2014
- [c17]Ahmed Mabrouk, Christophe Gonzales, Karine Jabet-Chevalier, Eric Chojnacki:
An Efficient Bayesian Network Structure Learning Algorithm in the Presence of Deterministic Relations. ECAI 2014: 567-572 - [c16]Hamza Agli, Philippe Bonnard, Pierre-Henri Wuillemin, Christophe Gonzales:
Uncertain Reasoning for Business Rules. Challenge+DC@RuleML 2014 - [e1]Madalina Croitoru, Sebastian Rudolph, Stefan Woltran, Christophe Gonzales:
Graph Structures for Knowledge Representation and Reasoning - Third International Workshop, GKR 2013, Beijing, China, August 3, 2013. Revised Selected Papers. Lecture Notes in Computer Science 8323, Springer 2014, ISBN 978-3-319-04533-7 [contents] - 2013
- [j8]Lionel Torti, Christophe Gonzales, Pierre-Henri Wuillemin:
Speeding-up structured probabilistic inference using pattern mining. Int. J. Approx. Reason. 54(7): 900-918 (2013) - [j7]Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen:
Sub-sample swapping for sequential Monte Carlo approximation of high-dimensional densities in the context of complex object tracking. Int. J. Approx. Reason. 54(7): 934-953 (2013) - [j6]Séverine Dubuisson, Christophe Gonzales:
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. 27(1): 95-120 (2013) - [j5]Yasmina Seddik, Christophe Gonzales, Safia Kedad-Sidhoum:
Single machine scheduling with delivery dates and cumulative payoffs. J. Sched. 16(3): 313-329 (2013) - [c15]Xuan Son Nguyen, Séverine Dubuisson, Christophe Gonzales:
Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking. CAIP (1) 2013: 319-326 - 2012
- [c14]Séverine Dubuisson, Christophe Gonzales:
An optimized DBN-based mode-focussing particle filter. CVPR 2012: 1934-1939 - [c13]Séverine Dubuisson, Christophe Gonzales:
Min-Space Integral Histogram. ECCV (2) 2012: 188-201 - [c12]Raoul Berger, Séverine Dubuisson, Christophe Gonzales:
Fast multiple histogram computation using Kruskal's algorithm. ICIP 2012: 2373-2376 - [c11]Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen:
DBN-Based Combinatorial Resampling for Articulated Object Tracking. UAI 2012: 237-246 - [i1]Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen:
DBN-Based Combinatorial Resampling for Articulated Object Tracking. CoRR abs/1210.4863 (2012) - 2011
- [j4]Christophe Gonzales, Patrice Perny, Jean-Philippe Dubus:
Decision making with multiple objectives using GAI networks. Artif. Intell. 175(7-8): 1153-1179 (2011) - [c10]Christophe Gonzales, Séverine Dubuisson, Xuan Son Nguyen:
Simultaneous Partitioned Sampling for Articulated Object Tracking. ACIVS 2011: 150-161 - [c9]Lionel Torti, Christophe Gonzales, Pierre-Henri Wuillemin:
Patterns Discovery for Efficient Structured Probabilistic Inference. SUM 2011: 247-260 - [c8]Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen:
Swapping-Based Partitioned Sampling for Better Complex Density Estimation: Application to Articulated Object Tracking. SUM 2011: 525-538
2000 – 2009
- 2009
- [c7]Jean-Philippe Dubus, Christophe Gonzales, Patrice Perny:
Choquet Optimization Using GAI Networks for Multiagent/Multicriteria Decision-Making. ADT 2009: 377-389 - [c6]Jean-Philippe Dubus, Christophe Gonzales, Patrice Perny:
Fast Recommendations using GAI Models. IJCAI 2009: 1896-1901 - [c5]Jean-Philippe Dubus, Christophe Gonzales, Patrice Perny:
Multiobjective Optimization using GAI Models. IJCAI 2009: 1902-1907 - [p1]Mohammed Abdellaoui, Christophe Gonzales:
Multiattribute Utility Theory. Decision-making Process 2009: 579-616 - 2008
- [c4]Christophe Gonzales, Patrice Perny, Sergio Queiroz:
Preference Aggregation with Graphical Utility Models. AAAI 2008: 1037-1042 - 2007
- [j3]Christophe Gonzales, Patrice Perny, Sergio Queiroz:
Réseaux GAI pour la prise de décision. Rev. d'Intelligence Artif. 21(4): 555-587 (2007) - [c3]Christophe Gonzales, Khaled Mellouli, Olfa Mourali:
On Directed and Undirected Propagation Algorithms for Bayesian Networks. ECSQARU 2007: 598-610 - 2006
- [c2]Christophe Gonzales, N. Jouve:
Learning Bayesian Networks Structure using Markov Networks. Probabilistic Graphical Models 2006: 147-154 - 2004
- [j2]Olfa Ben Naceur-Mourali, Christophe Gonzales:
Une unification des algorithmes d'inférence de Pearl et de Jensen. Rev. d'Intelligence Artif. 18(2): 229-260 (2004) - [c1]Christophe Gonzales, Patrice Perny:
GAI Networks for Utility Elicitation. KR 2004: 224-234
1990 – 1999
- 1998
- [j1]Christophe Gonzales, Jean-Yves Jaffray:
Imprecise sampling and direct decision making. Ann. Oper. Res. 80: 207-235 (1998)
Coauthor Index
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