Christophe Gonzales
Publications
Publications
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A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent ConfoundersEuropean Conference on Artificial Intelligence, Oct 2024, Saint Jacques De Compostelle, Spain |
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Learning Causal Networks using Uncertain Experts' Knowledge A Hybrid Algorithm for Learning Causal Networks using Uncertain Experts' Knowledge11th International Conference on Probabilistic Graphical Models (PGM 2022), Oct 2022, Almeria, Spain. pp.241-252 |
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Constraint-Based Bayesian Network Structure Learning using Uncertain Experts’ KnowledgeThirty-fourth International Florida Artificial Intelligence Research Society Conference, May 2021, Florida, USA, France. ⟨10.32473/flairs.v34i1.128453⟩ |
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aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python10th International Conference on Probabilistic Graphical Models, Sep 2020, Skørping, Denmark. pp.609-612 |
Dealing with Continuous Variables in Graphical ModelsInternational Conference on Scalable Uncertainty Management, Dec 2019, Compiègne, France |
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Improving Probabilistic Rules Compilation using PRMRuleML+RR Doctoral Consortium 2018 (2nd International Joint Conference on Rules and Reasoning ), Sep 2018, Esch-sur-Alzette, Luxembourg |
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Optimisation de la compilation de règles métier probabilistes à l'aide de PRM9èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB 2018), May 2018, Toulouse, France |
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Iterative affordance learning with adaptive action generationInternational Conference on Development and Learning (ICDL) and the International Conference on Epigenetic Robotics (EpiRob), Sep 2017, Lisbon, Portugal |
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aGrUM: a Graphical Universal Model frameworkIEA/AIE 2017 - 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. pp.171-177, ⟨10.1007/978-3-319-60045-1_20⟩ |
Learning and selection of dynamic Bayesian Networks for non-stationary processes in real time30th International Florida AI Research Society Conference, FLAIRS-30, May 2017, Marco Island, United States |
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Incremental Junction Tree InferenceIPMU16, Jun 2016, Eindhoven, Netherlands. ⟨10.1007/978-3-319-40596-4_28⟩ |
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Un algorithme d'arbre de jonction incrémental8èmes journées francophones de réseaux bayésiens (JFRB 2016), Jun 2016, Clermont-Ferrand, France |
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Bootstraping manipulation skills to learn affordances in open-ended environmentsWorkshop Autonomous Perception: Applying Sensorimotor Contingencies and Predictive Processing to Developmental Robotics (ICDL-Epirob), 2016, Cergy-Pontoise, France. pp.1-2 |
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Business Rules Uncertainty Management with Probabilistic Relational ModelsRuleML16, Jul 2016, Stony Brook, New York, United States. ⟨10.1007/978-3-319-42019-6_4⟩ |
Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non-stationnairesJournées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Jun 2016, Clermont-Ferrand, France |
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Real time learning of non-stationary processes with dynamic Bayesian Networks16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, Jun 2016, Eindhoven, Netherlands. pp.338-350, ⟨10.1007/978-3-319-40596-4_29⟩ |
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Librairie aGrUM : a Graphical Universal Model8èmes journées francophones de réseaux bayésiens (JFRB 2016), Jun 2016, Clermont-Ferrand, France. ⟨10.3166/RIA.28.1-10⟩ |
A Simple Method for Testing Independencies in Bayesian Networks29th Canadian Conference on Artificial Intelligence, May 2016, Victoria, Canada. pp.213-223, ⟨10.1007/978-3-319-34111-8_27⟩ |
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A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event DetectionFlorida Artificial Intelligence Research Society Conference, May 2015, Hollywood, Florida, United States. pp.564-569 |
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Bootstrapping interactions with objects from raw sensorimotor data: a Novelty Search based approachIEEE International Conference on Development and Learning and on Epigenetic Robotics, Aug 2015, Providence, United States. pp.7-12, ⟨10.1109/DEVLRN.2015.7346098⟩ |
An Efficient Bayesian Network Structure Learning Algorithm in the Presence of Deterministic RelationsEuropean Conference on Artificial Intelligence - ECAI 2014, Aug 2014, Prague, Czech Republic. pp.567-572, ⟨10.3233/978-1-61499-419-0-567⟩ |
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Un algorithme d'apprentissage de structure d'un réseau bayésien en présence de relations déterministesJournées francophones sur les réseaux bayésiens et les modèles graphiques probabilistes, Jun 2014, Paris, France |
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Uncertain Reasoning for Business RulesRuleML doctoral consortium, Aug 2014, Prague, Czech Republic |
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An absolute approximation algorithm for a scheduling problem with cumulative payoffs26th European Conference on Operational Research, Jul 2013, Rome, Italy |
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A polynomial time OPT-1 algorithm for a scheduling problem with two delivery dates and cumulative payoffs6th Multidisciplinary International Scheduling Conference: Theory and Applications, MISTA 2013, Aug 2013, Gent, Belgium. pp.268-289 |
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Un algorithme avec garantie de performance pour un problème d'ordonnancement avec dates de livraison et gains cumulatifsCongres de la Societe Francaise de Recherche Operationnelle et d'Aide a la Decision, ROADEF 2013, Feb 2013, Troyes, France |
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Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013, Aug 2013, York, United Kingdom. pp.319-326, ⟨10.1007/978-3-642-40261-6_38⟩ |
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Elicitation of Non-linear Utility ModelsEuropean Conference on Operations Research, Jul 2013, Rome, Italy |
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Fast multiple histogram computation using Kruskal's algorithmInternational Conference on Image Processing (ICIP'12), Sep 2012, Orlando, United States. pp.2373-2376, ⟨10.1109/ICIP.2012.6467374⟩ |
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Résolution exacte d'un problème d'ordonnancement de tâches avec dates de livraison et gains cumulatifs13ème Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Apr 2012, Angers, France. pp.512-513 |
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An Optimized {DBN}-Based Mode-Focussing Particle FilterInternational Conference on Computer Vision and Pattern Recognition (CVPR'12), Jun 2012, Providence, United States. pp.1934-1939, ⟨10.1109/CVPR.2012.6247894⟩ |
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Estimation de densités complexes par permutation de sous-échantillonsRFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France |
Min-Space Integral HistogramEuropean Conference on Computer Vision (ECCV'12), Oct 2012, Florence, Italy. pp.188-201, ⟨10.1007/978-3-642-33709-3_14⟩ |
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A Branch and Bound method for a one-machine scheduling problem with cumulative payoffsInternational Symposium on Combinatorial optimisation (CO '12), 2012, Oxford, United Kingdom. pp.86-87 |
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Dbn-based combinatorial resampling for articulated object trackingConference on Uncertainty in Artificial Intelligence (UAI'12), Aug 2012, Catalina Island, United States. pp.237-246 |
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Patterns Discovery for Efficient Structured Probabilistic InferenceSUM 2011 - 5th International Conference on Scalable Uncertainty Management, Oct 2011, Dayton, OH, United States. pp.247-260, ⟨10.1007/978-3-642-23963-2_20⟩ |
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Swapping-Based Partitioned Sampling for better complex density estimation: application to articulated object tracking5th International Conference on Scalable Uncertainty Management (SUM'11), Oct 2011, Dayton, OH, United States. pp.525-538, ⟨10.1007/978-3-642-23963-2_41⟩ |
Solving the one-machine scheduling problem with cumulative payoffs10th workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP'11), Jun 2011, Nymburk, Czech Republic. pp.245-247 |
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Simultaneous Partitioned Sampling for articulated object trackingAdvanced Concepts for Intelligent Vision Systems (ACIVS'11), Aug 2011, Ghent, Belgium. pp.150-161, ⟨10.1007/978-3-642-23687-7_14⟩ |
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Single machine scheduling with delivery dates and cumulative payoffs5th Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA'11), Aug 2011, Phoenix, Arizona, United States. pp.261-274 |
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Ordonnancement de tâches avec contraintes de livraison et gains cumulatifs12ème Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2011), 2011, Saint-Etienne, France. pp.855-856 |
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Reinforcing the Object-Oriented Aspect of Probabilistic Relational ModelsPGM 2010 - The Fifth European Workshop on Probabilistic Graphical Models, Sep 2010, Helsinki, Finland. pp.273-280 |
Choquet Optimization using {GAI} Networks for Multiagent/Multicriteria Decision-MakingAlgorithmic Decision Theory, Oct 2009, Venice, Italy. pp.377-389, ⟨10.1007/978-3-642-04428-1_33⟩ |
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Choix multiattribut à l'aide de réseaux {GAI} de forte densité10ème Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2009), Feb 2009, Nancy, France. pp.25-39 |
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Fast Recommendations using {GAI} ModelsIJCAI'09, International Joint Conference on Artificial Intelligence, Jul 2009, Pasadena, California, United States. pp.1896-1901 |
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Multiobjective Optimization using {GAI} ModelsIJCAI'09 International Joint Conference on Artificial Intelligence, Jul 2009, Pasadena, California, United States. pp.1902-1907 |
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Preference Aggregation with Graphical Utility ModelsThe 23rd AAAI conference on Artificial Intelligence, Jul 2008, Chicago, Illinois, United States. pp.1037-1042 |
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Collective decision making in combinatorial domains using {GAI}-networksThe 65th Meeting of the European Working Group ``Multiple Criteria Decision Aiding'', Apr 2007, Poznan, Poland. pp.5-5 |
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Recherche globale de séparateurs efficaces dans un graphe non orienté8ème Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2007), Feb 2007, Grenoble, France |
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On Directed and Undirected Propagation Algorithms for Bayesian NetworksEuropean Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Oct 2007, Hammamet, Tunisia. pp.598-610, ⟨10.1007/978-3-540-75256-1_53⟩ |
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Décision collective avec des réseaux {GAI}8ème Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2007), Feb 2007, Grenoble, France. pp.217-227 |
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GAI networks: from axiomatization to applications37th European Mathematical Psychology Group meeting, Sep 2006, Brest, France |
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Effet de la nature des acides gras alimentaires (acide alpha-linolénique ou acide linoléique) sur le nombre et la qualité des ovocytes collectés par Ovum Pick-Up et sur la production d'embryons chez la génisse laitière13. Rencontres autour des Recherches sur les Ruminants, Dec 2006, Paris, France |
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Les réseaux bayésiens : un modèle probabiliste pour l'explication et la prédiction des coûts immobiliersPremières rencontres du logement de l'Institut d'économie publique, Oct 2006, Marseille, France |
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Exploration de différents espaces graphiques pour l'apprentissage de structure des réseaux bayésiens7ème Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2006), Feb 2006, Lille, France |
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Preference aggregation in combinatorial domains using GAI-netsDIMACS - LAMSADE Workshop on Voting Theory And Preference Modelling, Oct 2006, Paris, France. pp.165-179 |
Apprentissage de structure de réseaux bayésiens à partir de réseaux markoviens15ème congrès francophone de reconnaissance des formes et intelligence artificielle, Jan 2006, Tours, France |
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GAI Networks for Decision Making under Certainty19th International Joint Conference on Artificial Intelligence -- workshop on advances in preference handling, Jul 2005, Edinburgh, United Kingdom. pp.100-105 |
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GAI Networks for Utility ElicitationKR 2004 - 9th International Conference on the Principles of Knowledge Representation and Reasoning, Jun 2004, Whistler, British Columbia, Canada. pp.224-234 |
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Graphical Models for Utility Elicitation under RiskDIMACS-LAMSADE workshop on computer science and decision theory, Oct 2004, Paris, France. pp.157-178 |
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Sur l'amélioration des méthodes stochastiques dans les réseaux bayésiens2ème Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 1999), Jan 1999, Autrans, France |
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Implémentation efficace d'algorithmes de propagation dans les réseaux probabilistesFRANCORO II - 2ndes Journées Francophones de Recherche Opérationnelle, 1998, Sousse, Tunisie |
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Propagation optimale dans les réseaux bayésiens sans cycles1er Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 1998), Jan 1998, Paris, France |
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Projet SunSTONE : réseaux de chaleur solaires intelligents avec stockage intersaisonnierJournées Nationales sur l'Energie Solaire - JNES 2018, Jun 2018, Lyon, France |
Effect of the source of dietary fat (a-linolenic acid or linoleic acid) on the number and the quality of oocytes collected by Ovum Pick-Up and on in vitro embryo production by dairy heifersAnnual Conference of the International Embryo Transfer Society IETS, Jan 2007, Kyoto, Japan. 1 p., 2007 |
Fiche pratique fertilisation azotée salade sous abri4 p., 2003 |
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Multicriteria Decision MakingMarquis, Pierre; Papini, Odile; Prade, Henri. A Guided Tour of Artificial Intelligence Research, I, Springer, pp.519-548, 2020, Knowledge Representation, Reasoning and Learning, 978-3-030-06164-7. ⟨10.1007/978-3-030-06164-7_16⟩ |
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Decision Under UncertaintyMarquis, Pierre; Papini, Odile; Prade, Henri. A Guided Tour of Artificial Intelligence Research, I, Springer, pp.549-586, 2020, Knowledge Representation, Reasoning and Learning |
Multiattribute Utility TheoryDecision Making Process: Concepts and Methods, ISTE -- Wiley, pp.579-616, 2009, 978-1-84821-116-2 |
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Théorie de l'Utilité Multi-attributsConcepts et méthodes pour l'aide à la décision, 3, Hermès, pp.25-62, 2006, 2-7462-1291-9 |
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Additive Utility Without Restricted Solvability on All ComponentsConstructing Scalar-Valued Objective Functions, 453, Springer, pp.64-90, 1997, Lecture Notes in Economics and Mathematical Systems, ⟨10.1007/978-3-642-48773-6_6⟩ |