Christophe Gonzales
According to our database1,
Christophe Gonzales
authored at least 55 papers
between 1998 and 2024.
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Bibliography
2024
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2022
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
2021
Constraint-Based Bayesian Network Structure Learning using Uncertain Experts' Knowledge.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
2020
aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume I: Knowledge Representation, 2020
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume I: Knowledge Representation, 2020
2019
Action Generation Adapted to Low-Level and High-Level Robot-Object Interaction States.
Frontiers Neurorobotics, 2019
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019
2018
Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non stationnaires.
Rev. d'Intelligence Artif., 2018
An empirical study of testing independencies in Bayesian networks using rp-separation.
Int. J. Approx. Reason., 2018
Comput. Intell., 2018
Proceedings of the Doctoral Consortium and Challenge @ RuleML+RR 2018 hosted by 2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018), 2018
2017
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
Learning and Selection of Dynamic Bayesian Networks for Non-Stationary Processes in Real Time.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
2016
Proceedings of the Rule Technologies. Research, Tools, and Applications, 2016
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016
2015
Theor. Comput. Sci., 2015
Combinatorial Resampling Particle Filter: An Effective and Efficient Method for Articulated Object Tracking.
Int. J. Comput. Vis., 2015
Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015
Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
2014
Proceedings of the RuleML 2014 Challenge and the RuleML 2014 Doctoral Consortium hosted by the 8th International Web Rule Symposium, 2014
An Efficient Bayesian Network Structure Learning Algorithm in the Presence of Deterministic Relations.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
2013
J. Sched., 2013
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., 2013
Int. J. Approx. Reason., 2013
Sub-sample swapping for sequential Monte Carlo approximation of high-dimensional densities in the context of complex object tracking.
Int. J. Approx. Reason., 2013
Proceedings of the Computer Analysis of Images and Patterns, 2013
2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011
Swapping-Based Partitioned Sampling for Better Complex Density Estimation: Application to Articulated Object Tracking.
Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011
Proceedings of the Advances Concepts for Intelligent Vision Systems, 2011
2009
Choquet Optimization Using GAI Networks for Multiagent/Multicriteria Decision-Making.
Proceedings of the Algorithmic Decision Theory, First International Conference, 2009
2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
2004
Rev. d'Intelligence Artif., 2004
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004
1998