GONZALES Christophe
Departure date : 08/31/2019
2022
LASSERRE Marvin : Apprentissages dans les Réseaux Bayésiens à Base de Copules Non-Paramétriques .
2021
DUCAMP Gaspard : Optimisation de la compilation de règles métier probabilistes à l’aide de PRM .
2018
2017
AGLI Hamza : Raisonnement incertain pour les règles métiers .
2016
MABROUK Ahmed : Développement d’outils d’aide au diagnostic en contexte incertain .
MAGNAN Jean-Christophe : Représentations Graphiques de Fonctions et Processus Décisionnels Markoviens Factorisés .
2015
2013
2012
SEDDIK Yasmina : Ordonnancement avec dates de livraison et gains cumulatifs .
TORTI Lionel : Inférence probabiliste structurée dans les modèles graphiques probabilistes orientés-objet .
2010
1997-2020 Publications
All
Edited books
Journal articles
Book chapters
Conference papers
Posters
Thesis
2020
G. Ducamp, Ch. Gonzales, P.‑H. Wuillemin : “aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python ”, 10th International Conference on Probabilistic Graphical Models, vol. 138, Proceedings of Machine Learning Research, Skørping, Denmark, pp. 609-612 (2020)
Ch. Gonzales, P. Perny : “Decision Under Uncertainty ”, chapter in A Guided Tour of Artificial Intelligence Research, vol. I, Knowledge Representation, Reasoning and Learning, pp. 549-586, (Springer) (2020)
Ch. Gonzales, P. Perny : “Multicriteria Decision Making ”, chapter in A Guided Tour of Artificial Intelligence Research, vol. I, Knowledge Representation, Reasoning and Learning, pp. 519-548, (Springer), (ISBN: 978-3-030-06164-7) (2020)
2019
2018
Ch. Gonzales : “Les rĂ©seaux bayĂ©siens ”, Interstices, (INRIA) (2018)
G. Ducamp, Ph. Bonnard, Ch. De Sainte Marie, Ch. Gonzales, P.‑H. Wuillemin : “Improving Probabilistic Rules Compilation using PRM ”, RuleML+RR Doctoral Consortium 2018 (2nd International Joint Conference on Rules and Reasoning ), Esch-sur-Alzette, Luxembourg (2018)
C. Butz, A. Dos Santos, Jh. Oliveira, Ch. Gonzales : “On a simple method for testing independencies in Bayesian networks ”, Computational Intelligence, vol. 34 (3), pp. 789-801, (Wiley) (2018)
A. Goareguer, A. Le Denn, F. Renaude, Ch. Maragna, P.‑H. Wuillemin, M. Lasserre, Ch. Gonzales, M. Clausse : “Projet SunSTONE : rĂ©seaux de chaleur solaires intelligents avec stockage intersaisonnier ”, JournĂ©es Nationales sur l'Energie Solaire - JNES 2018, Lyon, France (2018)
G. Ducamp, Ph. Bonnard, Ch. De Sainte Marie, Ch. Gonzales, P.‑H. Wuillemin : “Optimisation de la compilation de règles mĂ©tier probabilistes Ă l’aide de PRM ”, 9e s JournĂ©es Francophones sur les RĂ©seaux BayĂ©siens et les Modèles Graphiques Probabilistes (JFRB 2018), Toulouse, France (2018)
M. Hourbracq, P.‑H. Wuillemin, Ch. Gonzales, Ph. Baumard : “Apprentissage et sĂ©lection de rĂ©seaux bayĂ©siens dynamiques pour les processus online non stationnaires ”, Revue des Sciences et Technologies de l'Information - SĂ©rie RIA : Revue d'Intelligence Artificielle, vol. 32 (1), RĂ©seaux bayĂ©siens et modèles probabilistes, pp. pp.75-109, (Lavoisier) (2018)
H. Agli, Ph. Bonnard, Ch. Gonzales, P.‑H. Wuillemin : “InfĂ©rence incrĂ©mentale pour les modèles probabilistes relationnels et application aux systèmes Ă base de règles orientĂ©s objet ”, Revue des Sciences et Technologies de l'Information - SĂ©rie RIA : Revue d'Intelligence Artificielle, vol. 32 (1), RĂ©seaux bayĂ©siens et modèles probabilistes, pp. 111-132, (Lavoisier) (2018)
2017
S. Cortijo, Ch. Gonzales : “On conditional truncated densities Bayesian networks ”, International Journal of Approximate Reasoning, (Elsevier) (2017)
C. Maestre, Gh. Mukhtar, Ch. Gonzales, S. Doncieux : “Iterative affordance learning with adaptive action generation ”, International Conference on Development and Learning (ICDL) and the International Conference on Epigenetic Robotics (EpiRob), Lisbon, Portugal (2017)
Ch. Gonzales, L. Torti, P.‑H. Wuillemin : “aGrUM: a Graphical Universal Model framework ”, IEA/AIE 2017 - 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, vol. 10351, Lecture Notes in Computer Science, Arras, France, pp. 171-177, (Springer) (2017)
M. Hourbracq, P.‑H. Wuillemin, Ch. Gonzales, Ph. Baumard : “Learning and selection of dynamic Bayesian Networks for non-stationary processes in real time ”, 30th International Florida AI Research Society Conference, FLAIRS-30, Marco Island, United States (2017)
2016
M. Hourbracq, P.‑H. Wuillemin, Ch. Gonzales, . Baumard : “Real time learning of non-stationary processes with dynamic Bayesian Networks ”, Information Processing and Management of Uncertainty in Knowledge-Based Systems, vol. 610, Communications in Computer and Information Science, Eindhoven, Netherlands, pp. 338-350, (Springer International Publishing) (2016)
M. Hourbracq, P.‑H. Wuillemin, Ch. Gonzales, . Baumard : “Apprentissage et sĂ©lection de rĂ©seaux bayĂ©siens dynamiques pour les processus online non-stationnaires ”, JournĂ©es Francophones sur les RĂ©seaux BayĂ©siens et les Modèles Graphiques Probabilistes, 8e s journĂ©es francophones de rĂ©seaux bayĂ©siens (JFRB 2016), Clermont-Ferrand, France (2016)
Ch. Gonzales, L. Torti, P.‑H. Wuillemin : “Librairie aGrUM : a Graphical Universal Model ”, 8e s journĂ©es francophones de rĂ©seaux bayĂ©siens (JFRB 2016), Clermont-Ferrand, France (2016)
H. Agli, Ph. Bonnard, Ch. Gonzales, P.‑H. Wuillemin : “Un algorithme d’arbre de jonction incrĂ©mental ”, 8e s journĂ©es francophones de rĂ©seaux bayĂ©siens (JFRB 2016), Clermont-Ferrand, France (2016)
S. Dubuisson, Ch. Gonzales : “A survey of datasets for visual tracking ”, Machine Vision and Applications, vol. 27 (1), pp. 23-52, (Springer Verlag) (2016)
H. Agli, Ph. Bonnard, Ch. Gonzales, P.‑H. Wuillemin : “Business Rules Uncertainty Management with Probabilistic Relational Models ”, RuleML16, Stony Brook, New York, United States (2016)
H. Agli, Ph. Bonnard, Ch. Gonzales, P.‑H. Wuillemin : “Incremental Junction Tree Inference ”, IPMU16, Eindhoven, Netherlands (2016)
C. Butz, A. Dos Santos, Jh. Oliveira, Ch. Gonzales : “A Simple Method for Testing Independencies in Bayesian Networks ”, 29th Canadian Conference on Artificial Intelligence, vol. 9673, Lecture Notes in Computer Science, Victoria, Canada, pp. 213-223 (2016)
C. Maestre, Ch. Gonzales, S. Doncieux : “Bootstraping manipulation skills to learn affordances in open-ended environments ”, Proceedings of the workshop Autonomous Perception: Applying Sensorimotor Contingencies and Predictive Processing to Developmental Robotics (ICDL-Epirob), Cergy-Pontoise, France, pp. 1-2 (2016)
2015
C. Maestre, A. Cully, Ch. Gonzales, S. Doncieux : “Bootstrapping interactions with objects from raw sensorimotor data: a Novelty Search based approach ”, IEEE International Conference on Development and Learning and on Epigenetic Robotics, Providence, United States, pp. 7-12, (IEEE) (2015)
N. Benabbou, Ch. Gonzales, P. Perny, P. Viappiani : “Minimax Regret Approaches for Preference Elicitation with Rank-Dependent Aggregators ”, EURO Journal on Decision Processes, vol. 3 (1-2), pp. 29-64 (2015)
Ch. Gonzales, S. Dubuisson, Cristina E. Manfredotti : “A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection ”, Florida Artificial Intelligence Research Society Conference, Hollywood, Florida, United States, pp. 564-569 (2015)
Ch. Gonzales, S. Dubuisson : “Combinatorial Resampling Particle Filter: an Effective and Efficient Method for Articulated Object Tracking ”, International Journal of Computer Vision, vol. 112 (3), pp. 255-284, (Springer Verlag) (2015)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “Performance guarantees for a scheduling problem with common stepwise job payoffs ”, Theoretical Computer Science, vol. 562, pp. 377-394, (Elsevier) (2015)
2014
Ah. Mabrouk, Ch. Gonzales, K. Jabet‑Chevalier, E. Chojnaki : “An Efficient Bayesian Network Structure Learning Algorithm in the Presence of Deterministic Relations ”, European Conference on Artificial Intelligence - ECAI 2014, vol. 263, Frontiers in Artificial Intelligence and Applications, Prague, Czechia, pp. 567-572 (2014)
H. Agli, Ph. Bonnard, Ch. Gonzales, P.‑H. Wuillemin : “Uncertain Reasoning for Business Rules ”, RuleML doctoral consortium, vol. 1211, CEUR Workshop Proceedings, Prague, Czechia, (CEUR-WS.org) (2014)
Ah. Mabrouk, Ch. Gonzales, K. Jabet‑Chevalier, E. Chojnaki : “Un algorithme d’apprentissage de structure d’un rĂ©seau bayĂ©sien en prĂ©sence de relations dĂ©terministes ”, JournĂ©es francophones sur les rĂ©seaux bayĂ©siens et les modèles graphiques probabilistes, Paris, France (2014)
2013
L. Torti, Ch. Gonzales, P.‑H. Wuillemin : “Speeding-up Structured Probabilistic Inference using Pattern Mining ”, International Journal of Approximate Reasoning, vol. 54 (7), pp. 900-918, (Elsevier) (2013)
S. Dubuisson, Ch. Gonzales, X. Nguyen : “Sub-sample swapping for sequential Monte Carlo approximation of high-dimensional densities in the context of complex object tracking ”, International Journal of Approximate Reasoning, vol. 54 (7), Special issue: Uncertainty in Artificial Intelligence and Databases, pp. 934-953, (Elsevier) (2013)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “A polynomial time OPT-1 algorithm for a scheduling problem with two delivery dates and cumulative payoffs ”, 6th Multidisciplinary International Scheduling Conference: Theory and Applications, MISTA 2013, Gent, Belgium, pp. 268-289 (2013)
X. Nguyen, S. Dubuisson, Ch. Gonzales : “Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking ”, 15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013, vol. 8047, Lecture Notes in Computer Science, York, United Kingdom, pp. 319-326, (Springer) (2013)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “An absolute approximation algorithm for a scheduling problem with cumulative payoffs ”, 26th European Conference on Operational Research, Rome, Italy (2013)
P. Viappiani, P. Perny, Ch. Gonzales : “Elicitation of Non-linear Utility Models ”, European Conference on Operations Research, Preference Learning stream, Rome, Italy (2013)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “Single machine scheduling with delivery dates and cumulative payoffs ”, Journal of Scheduling, vol. 16 (3), pp. 313-329, (Springer Verlag) (2013)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “Un algorithme avec garantie de performance pour un problème d’ordonnancement avec dates de livraison et gains cumulatifs ”, Congres de la Societe Francaise de Recherche Operationnelle et d'Aide a la Decision, ROADEF 2013, Troyes, France (2013)
M. Croitoru, S. Rudolph, S. Woltran, Ch. Gonzales : “Graph Structures for Knowledge Representation and Reasoning: Third International Workshop, GKR 2013, Beijing, China, August 3, 2013. Revised Selected Papers ”, GKR: Graph Structures for Knowledge Representation and Reasoning, vol. 8323, Lecture Notes in Computer Science, Beijing, China, pp. 1-211, (Springer), (ISBN: 978-3-319-04533-7) (2013)
S. Dubuisson, Ch. Gonzales : “Estimation de densitĂ©s non paramĂ©triques et multimodales par permutation de sous-particules. Application au suivi d’un ou de plusieurs objets synthĂ©tiques articulĂ©s ”, Revue des Sciences et Technologies de l'Information - SĂ©rie RIA : Revue d'Intelligence Artificielle, vol. 27 (1), pp. 95-120, (Lavoisier) (2013)
2012
S. Dubuisson, Ch. Gonzales : “Min-Space Integral Histogram ”, European Conference on Computer Vision (ECCV'12), vol. 7573, Lecture Notes in Computer Science, Florence, Italy, pp. 188-201 (2012)
R. Berger, S. Dubuisson, Ch. Gonzales : “Fast multiple histogram computation using Kruskal’s algorithm ”, International Conference on Image Processing (ICIP'12), Orlando, United States, pp. 2373-2376, (IEEE) (2012)
S. Dubuisson, Ch. Gonzales : “An Optimized {DBN}-Based Mode-Focussing Particle Filter ”, International Conference on Computer Vision and Pattern Recognition (CVPR'12), Providence, United States, pp. 1934-1939 (2012)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “RĂ©solution exacte d’un problème d’ordonnancement de tâches avec dates de livraison et gains cumulatifs ”, 13e Congrès de la SociĂ©tĂ© Française de Recherche OpĂ©rationnelle et d'Aide Ă la DĂ©cision, Angers, France, pp. 512-513 (2012)
S. Dubuisson, Ch. Gonzales : “Estimation de densitĂ©s complexes par permutation de sous-Ă©chantillons ”, RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Lyon, France (2012)
S. Dubuisson, Ch. Gonzales, X. Nguyen : “Dbn-based combinatorial resampling for articulated object tracking ”, Conference on Uncertainty in Artificial Intelligence (UAI'12), Catalina Island, United States, pp. 237-246 (2012)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “A Branch and Bound method for a one-machine scheduling problem with cumulative payoffs ”, International Symposium on Combinatorial optimisation (CO '12), Oxford, United Kingdom, pp. 86-87 (2012)
2011
L. Torti, Ch. Gonzales, P.‑H. Wuillemin : “Patterns Discovery for Efficient Structured Probabilistic Inference ”, SUM 2011 - 5th International Conference on Scalable Uncertainty Management, vol. 6929, Lecture Notes in Computer Science, Dayton, OH, United States, pp. 247-260, (Springer) (2011)
Ch. Gonzales, S. Dubuisson, X. Nguyen : “Simultaneous Partitioned Sampling for articulated object tracking ”, Proceedings of Advanced Concepts for Intelligent Vision Systems (ACIVS'11), vol. 6915, Lecture Notes In Computer Sciences, Ghent, Belgium, pp. 150-161, (Springer) (2011)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “Single machine scheduling with delivery dates and cumulative payoffs ”, proceedings of the 5th Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA'11), Phoenix, Arizona, United States, pp. 261-274 (2011)
Ch. Gonzales, P.‑H. Wuillemin : “{PRM} inference using Jaffray and Faÿ’s Local Conditioning ”, Theory and Decision, vol. 71 (1), pp. 33-62, (Springer Verlag) (2011)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “Solving the one-machine scheduling problem with cumulative payoffs ”, proceedings of the 10th workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP'11), Nymburk, Czechia, pp. 245-247 (2011)
Ch. Gonzales, P. Perny, J.‑Ph. Dubus : “Decision Making with Multiple Objectives using GAI networks ”, Artificial Intelligence, vol. 175 (7-8), pp. 1153-1179, (Elsevier) (2011)
S. Dubuisson, Ch. Gonzales, X. Nguyen : “Swapping-Based Partitioned Sampling for better complex density estimation: application to articulated object tracking ”, 5th International Conference on Scalable Uncertainty Management (SUM'11), vol. 6929, Lecture Notes in Computer Science, Dayton, OH, United States, pp. 525-538, (Springer) (2011)
Y. Seddik, Ch. Gonzales, S. Kedad‑Sidhoum : “Ordonnancement de tâches avec contraintes de livraison et gains cumulatifs ”, 12e Congrès de la SociĂ©tĂ© Française de Recherche OpĂ©rationnelle et d'Aide Ă la DĂ©cision (ROADEF 2011), vol. II, Saint-Etienne, France, pp. 855-856 (2011)
2010
2009
J.‑Ph. Dubus, Ch. Gonzales, P. Perny : “Choquet Optimization using {GAI} Networks for Multiagent/Multicriteria Decision-Making ”, Algorithmic Decision Theory, vol. 5783, Lecture Notes in Computer Science, Venice, Italy, pp. 377-389, (Springer) (2009)
M. Croitoru, Ch. Gonzales, J. Lang, B. Motik, M.‑L. Mugnier : “First IJCAI International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR@IJCAI’09) ”, pp. 59 (2009)
J.‑Ph. Dubus, Ch. Gonzales, P. Perny : “Fast Recommendations using {GAI} Models ”, IJCAI'09, International Joint Conference on Artificial Intelligence, Pasadena, California, United States, pp. 1896-1901 (2009)
J.‑Ph. Dubus, Ch. Gonzales, P. Perny : “Multiobjective Optimization using {GAI} Models ”, IJCAI'09 International Joint Conference on Artificial Intelligence, Pasadena, California, United States, pp. 1902-1907 (2009)
J.‑Ph. Dubus, Ch. Gonzales, P. Perny : “Choix multiattribut Ă l’aide de rĂ©seaux {GAI} de forte densitĂ© ”, 10e Congrès de la SociĂ©tĂ© Française de Recherche OpĂ©rationnelle et d'Aide Ă la DĂ©cision (ROADEF 2009), Nancy, France, pp. 25-39 (2009)
M. Abdellaoui, Ch. Gonzales : “Multiattribute Utility Theory ”, chapter in Decision Making Process: Concepts and Methods, pp. 579-616, (ISTE -- Wiley), (ISBN: 978-1-84821-116-2) (2009)
2008
Ch. Gonzales, P. Perny, S. Queiroz : “Preference Aggregation with Graphical Utility Models ”, Proceedings of the 23rd AAAI conference on Artificial Intelligence, Chicago, Illinois, United States, pp. 1037-1042 (2008)
Ch. Gonzales, P. Perny, S. Queiroz : “{GAI}-Networks: Optimization, Ranking and Collective Choice in Combinatorial Domains ”, Foundations of Computing and Decision Sciences, vol. 33 (1), pp. 3-24 (2008)
2007
Ch. Gonzales : “Les modeles decisionnels decomposables ”, habilitation, defence 11/29/2007 (2007)
Ch. Gonzales, Kh. Mellouli, O. Mourali : “On Directed and Undirected Propagation Algorithms for Bayesian Networks ”, European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, vol. 4724, Lecture Notes in Artificial Intelligence, Hammamet, Tunisia, pp. 598-610, (Springer) (2007)
Ch. Gonzales, P. Perny, S. Queiroz : “Collective decision making in combinatorial domains using {GAI}-networks ”, Proceedings of the 65th Meeting of the European Working Group ``Multiple Criteria Decision Aiding'', Poznan, Poland, pp. 5-5 (2007)
S. Queiroz, Ch. Gonzales, P. Perny : “DĂ©cision collective avec des rĂ©seaux {GAI} ”, 8e Congrès de la SociĂ©tĂ© Française de Recherche OpĂ©rationnelle et d'Aide Ă la DĂ©cision (ROADEF 2007), Grenoble, France, pp. 217-227, (Presses Universitaires de Grenoble) (2007)
Ch. Gonzales, N. Jouve : “Recherche globale de sĂ©parateurs efficaces dans un graphe non orientĂ© ”, 8e Congrès de la SociĂ©tĂ© Française de Recherche OpĂ©rationnelle et d'Aide Ă la DĂ©cision (ROADEF 2007), Grenoble, France (2007)
Ch. Gonzales, P. Perny, S. Queiroz : “RĂ©seaux {GAI} pour la prise de dĂ©cision ”, Revue des Sciences et Technologies de l'Information - SĂ©rie RIA : Revue d'Intelligence Artificielle, vol. 21 (4), pp. 555-587, (Lavoisier) (2007)
2006
Ch. Gonzales, P. Perny, S. Queiroz : “Preference aggregation in combinatorial domains using GAI-nets ”, DIMACS - LAMSADE Workshop on Voting Theory And Preference Modelling, vol. 6, ANNALES DU LAMSADE, Paris, France, pp. 165-179 (2006)
Ch. Gonzales, J.‑Y. Jaffray, N. Jouve : “Les rĂ©seaux bayĂ©siens : un modèle probabiliste pour l’explication et la prĂ©diction des coĂ»ts immobiliers ”, Premières rencontres du logement de l'Institut d'Ă©conomie publique, Marseille, France (2006)
Ch. Gonzales, P. Perny : “GAI networks: from axiomatization to applications ”, 37th European Mathematical Psychology Group meeting, Brest, France (2006)
Ch. Gonzales, N. Jouve : “Exploration de diffĂ©rents espaces graphiques pour l’apprentissage de structure des rĂ©seaux bayĂ©siens ”, 7e Congrès de la SociĂ©tĂ© Française de Recherche OpĂ©rationnelle et d'Aide Ă la DĂ©cision (ROADEF 2006), Lille, France (2006)
Ch. Gonzales, N. Jouve : “Apprentissage de structure de rĂ©seaux bayĂ©siens Ă partir de rĂ©seaux markoviens ”, Actes du 15e congrès francophone de reconnaissance des formes et intelligence artificielle, Tours, France, (Presses Universitaires François Rabelais) (2006)
M. Abdellaoui, Ch. Gonzales : “ThĂ©orie de l’UtilitĂ© Multi-attributs ”, chapitre de Concepts et mĂ©thodes pour l'aide Ă la dĂ©cision, vol. 3, pp. 25-62, (Hermès), (ISBN: 2-7462-1291-9) (2006)
2005
2004
Ch. Gonzales, P. Perny : “Graphical Models for Utility Elicitation under Risk ”, DIMACS-LAMSADE workshop on computer science and decision theory, vol. 3, ANNALES DU LAMSADE, Paris, France, pp. 157-178 (2004)
Ch. Gonzales, P. Perny : “GAI Networks for Utility Elicitation ”, KR 2004 - 9th International Conference on the Principles of Knowledge Representation and Reasoning, Whistler, British Columbia, Canada, pp. 224-234 (2004)
O. Ben Naceur, Ch. Gonzales : “Une unification des algorithmes d’infĂ©rence de Pearl et de Jensen ”, Revue des Sciences et Technologies de l'Information - SĂ©rie RIA : Revue d'Intelligence Artificielle, vol. 18 (2), pp. 229-260, (Lavoisier) (2004)
2003
2000
1999
1998
P.‑H. Wuillemin, Ch. Gonzales : “Propagation optimale dans les rĂ©seaux bayĂ©siens sans cycles ”, 1er Congrès de la SociĂ©tĂ© Française de Recherche OpĂ©rationnelle et d'Aide Ă la DĂ©cision (ROADEF 1998), vol. 1, Paris, France (1998)
Ch. Gonzales, J.‑Y. Jaffray : “Imprecise Sampling and Direct Decision Making ”, Annals of Operations Research, vol. 80 (0), pp. 207-235, (Springer Verlag) (1998)
P.‑H. Wuillemin, Ch. Gonzales : “ImplĂ©mentation efficace d’algorithmes de propagation dans les rĂ©seaux probabilistes ”, FRANCORO II - 2nd es JournĂ©es Francophones de Recherche OpĂ©rationnelle, vol. 1, Sousse, Tunisia (1998)
Ch. Gonzales, P.‑H. Wuillemin : “RĂ©seaux BayĂ©siens en ModĂ©lisation Utilisateur ”, Sciences et Techniques Educatives, vol. 5 (2), pp. 173-198, (Hermes) (1998)
1997