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inria-00356708v1  Journal articles
Emmanuel Mazer, Juan-Manuel Ahuactzin, Pierre Bessière. The Ariadne's Clew Algorithm
Journal of Artificial Intelligence Research, Association for the Advancement of Artificial Intelligence, 1998, 9, pp.295-316
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hal-00089153v1  Conference papers
Olivier Lebeltel, Julien Diard, Pierre Bessière, Emmanuel Mazer. A Bayesian framework for robotic programming
Twentieth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2000), 2000, Paris, France
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hal-00019254v1  Conference papers
Julien Diard, Pierre Bessière, Emmanuel Mazer. A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework
--, 2003, France
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hal-00019258v1  Conference papers
Carla Koike, Cedric Pradalier, Pierre Bessière, Emmanuel Mazer. Obstacle Avoidance and Proscriptive Bayesian Programming
--, 2003, France
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hal-02377220v1  Conference papers
Raphael Frisch, Marvin Faix, Jacques Droulez, Laurent Girin, Emmanuel Mazer. Bayesian time-domain multiple sound source localization for a stochastic machine
EUSIPCO 2019 - 27th European Signal Processing Conference, Sep 2019, A Coruna, Spain. pp.1-5, ⟨10.23919/EUSIPCO.2019.8902666⟩
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inria-00189723v2  Journal articles
Olivier Lebeltel, Pierre Bessière, Julien Diard, Emmanuel Mazer. Bayesian Robot Programming
Autonomous Robots, Springer Verlag, 2004, 16 (1), pp.49--79. ⟨10.1023/B:AURO.0000008671.38949.43⟩
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hal-01644346v1  Conference papers
Raphael Frisch, Raphaël Laurent, Marvin Faix, Laurent Girin, Laurent Fesquet et al.  A Bayesian stochastic machine for sound source localization
ICRC 2017 - IEEE International Conference on Rebooting Computing, Nov 2017, Washington, DC, United States. pp.1-8
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hal-01867789v1  Conference papers
Raphael Frisch, Marvin Faix, Emmanuel Mazer, Laurent Fesquet, Augustin Lux. A cognitive stochastic machine based on Bayesian inference: a behavioral analysis
ICCI*CC 2018 - 17th IEEE International Conference on Cognitive Informatics and Cognitive Computing, Jul 2018, Berkeley, United States. pp.1-8
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hal-01265559v1  Conference papers
Marvin Faix, Jorge Lobo, Raphael Laurent, Dominique Vaufreydaz, Emmanuel Mazer. Stochastic Bayesian Computation for Autonomous Robot Sensorimotor System
Workshop on Unconventional Computing for Bayesian Inference (UCBI) at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Sep 2015, Hambourg, Germany
hal-01058580v1  Journal articles
Remis Balaniuk, Pierre Bessière, Emmanuel Mazer, Paulo Cobbe. Corruption risk analysis using semi-supervised naïve Bayes classifiers
International Journal of Reasoning-based Intelligent Systems, Inderscience Enterprises Ltd, 2013, 5 (4), pp.237-245. ⟨10.1504/IJRIS.2013.058768⟩
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hal-00746198v1  Conference papers
Remis Balaniuk, Pierre Bessière, Emmanuel Mazer, Paulo Cobbe. Risk based Government Audit Planning using Naïve Bayes Classifiers
Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012, Spain. ⟨10.3233/978-1-61499-105-2-1313⟩
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hal-00069029v1  Conference papers
Jihène Serkhane, Jean-Luc Schwartz, Louis-Jean Boë, B. Davis, Pierre Bessière et al.  Etude comparative de vocalisations de bébés humains et de bébés robots
2002
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hal-00019367v1  Conference papers
Kamel Mekhnacha, Pierre Bessière, Emmanuel Mazer. A Bayesian framework for geometric uncertainties handling
--, 2000, France
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inria-00070226v1  Reports
Kamel Mekhnacha, Linda Smail, Juan-Manuel Ahuactzin, Pierre Bessière, Emmanuel Mazer. A unifying framework for exact and approximate Bayesian inference
[Research Report] RR-5797, INRIA. 2006, pp.44
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hal-00019260v1  Conference papers
Carla Koike, Cedric Pradalier, Pierre Bessière, Emmanuel Mazer. Proscriptive Bayesian Programming Application for Collision Avoidance
--, 2003, France. pp.X
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hal-00068793v1  Conference papers
Christophe Coué, Thierry Fraichard, Pierre Bessière, Emmanuel Mazer. Multi-Sensor Data Fusion Using Bayesian Programming : an Automotive Application
--, 2002, France
hal-00106245v1  Book sections
Pierre Bessière, Olivier Lebeltel, Emmanuel Mazer, Kamel Mekhnacha. Simulation et Programmation
E. DOMBRE. Analyse et modélisation des robots, Editions HERMES, 2001
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hal-00004990v1  Conference papers
Kamel Mekhnacha, Emmanuel Mazer, Pierre Bessière. A Robotic CAD system using a Bayesian framework
--, 2000, France. pp.1597-1604 (Vol.3)
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hal-00068686v1  Conference papers
Christophe Coué, Thierry Fraichard, Pierre Bessière, Emmanuel Mazer. Using Bayesian Programming for Multi-Sensor Data Fusion in Automotive Applications
--, 2002, France
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hal-00019362v1  Conference papers
Kamel Mekhnacha, Emmanuel Mazer, Pierre Bessière. A Bayesian CAD system for robotic Applications
--, 2000, France. pp.527-534
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inria-00182061v1  Conference papers
Julien Diard, Pierre Bessière, Emmanuel Mazer. Hierarchies of probabilistic models of navigation: the Bayesian Map and the Abstraction operator
Proc. of the IEEE Int. Conf. on Robotics and Automation, Apr 2004, New Orleans, LA (US), France
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hal-00019182v1  Journal articles
Kamel Mekhnacha, Emmanuel Mazer, Pierre Bessière. The Design and Implementation of a Bayesian CAD Modeler for Robotic Applications
Advanced Robotics, Taylor & Francis, 2001, 15, N.1, pp 45-70
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inria-00182076v1  Conference papers
Julien Diard, Pierre Bessière, Emmanuel Mazer. Combining probabilistic models of space for mobile robots: the Bayesian Map and the Superposition operator
Proc. of the Int. Advanced Robotics Programme, Oct 2003, Madrid (ES), France. pp.65--72