Publications
2021
Z. Fang, N. Crimier, L. Scanu, A. Midelet, A. Alyafi, B. Delinchant
2019
B. Azennoud, A. Bernard, V. Bonnivard, H. Pedroli
2016
« Evidences of Stochastic Bayesian Machines Robustness Against SEUs and SETs »
A. Coelho, M. Solinas, R. Laurent, J. Fraire, E. Mazer, N. Zergainoh, S. Karaoui, R. Velazco
Radiation Effects on Components & Systems Conference (RADECS)
2016
« Bayesian Sensor Fusion with Fast and Low Power Stochastic Circuits »
A. Coninx, R. Laurent, A. Aslam, J. Lobo, P. Bessière, E. Mazer and J. Droulez
IEEE International Conference on Rebooting Computing
2016
« Design of Stochastic Machines Dedicated to Approximate Bayesian inferences »
M. Faix, R. Laurent, P. Bessière, E. Mazer and J. Droulez
IEEE Transactions on Emerging Topics in Computing
2016
« Autonomous Robot Controller Using Bitwise Gibbs Sampling »
R. Canillas, R. Laurent, M. Faix, D. Vaufreydaz and E. Mazer
IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing
2015
« Stochastic Bayesian Computation for Autonomous Robot Sensorimotor Systems »
R. Canillas, R. Laurent, M. Faix, D. Vaufreydaz and E. MazerM. Faix, J. Lobo, R. Laurent, D. Vaufreydaz and E. Mazer
Workshop on Unconventional Computing for Bayesian Inference (UCBI) at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015)
2015
« Cognitive Computation: a Bayesian Machine Case Study »
M. Faix, E. Mazer, R. Laurent, M.-O. Abdallah, R. Le Hy and J. Lobo
IEEE 14th International Conference on Cognitive Informatics and Cognitive Computing
2013
Bayesian Programming
Pierre Bessière, Emmanuel Mazer, Juan-Manuel Ahuactzin, Kamel Mekhnacha.
« Bayesian Programming », book, Chapman and Hall/CRC., ISBN: 9781439880326, 2013.
2007
« Exact and approximate inference in ProBT »- « Revue d’Intelligence Artificielle »
K. Mekhnacha, J. M. Ahuactzin, P. Bessière, E. Mazer, and L. Smail
Vol. 21/3, pp. 295-332
2006
« A unifying frameword for exact and approximate Bayesian inference »
K. Mekhnacha, J. M. Ahuactzin, P. Bessière, E. Mazer, and L. Smail
INRIA- Rhône-Alpes Research Report – E-MOTION team, RR-55797
2008
Article
« Multisensor Fusion and Integration for Intelligent Systems »
– Lecture Notes in Electrical Engineering –
K. Mekhnacha, Y. Mao, D. Raulo, and C. Laugier
Springer-Verlag (Ed.), chapter « The ‘Fast Clustering-Tracking’ algorithm in the Bayesian Occupancy Filter framework »
2008
Book
« Probabilistic Reasoning and Decision Making in Sensory-Motor Systems »
C. Tay, K. Mekhnacha, M. Yguel, C. Coué, C. Pradalier, C. Laugier, T. Fraichard, and P. Bessiere
Springer (Ed.), Chapter « The Bayesian Occupation Filter »
2008
Conference
« The ‘Fast Clustering-Tracking’ algorithm in the Bayesian Occupancy Filter framework »
K. Mekhnacha, Y. Mao, D. Raulo, and C. Laugier
« Proc. of the IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems » – Korea –
2007
« An Efficient Formulation of the Bayesian Occupation Filter for Target Tracking in Dynamic Environments »
C. Tay, K. Mekhnacha, C. Chen, M. Yguel, and C. Laugier
International Journal Of Autonomous Vehicles
2011
Article
« Situation Awareness and Prediction using Probabilistic Occupancy Map and Concurrent Hidden Markov Model – Application to Abnormal Situation Detection around an ATM »
Julien Ros & KamelMekhnacha
The 12th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS2011) Delft, Netherlands
Delft, Netherlands
2011
« LMA-based Human Behaviour Analysis Using HMM «
Kamrad Khoshhal, Hadi Aliakbarpour, Kamel Mekhnacha, Julien Ros, Joao Quintas and Jorge Dias
Second Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS’11
Lisbon, Portugal
2011
« HMM-based Abnormal Behaviour Detection Using Heterogeneous Sensor Net-work »
Hadi Aliakbarpour, Kamrad Khoshhal, Joao Quintas, Kamel Mekhnacha, Julien Ros, Maria Andersson, Stavros Ntalampiras and Jorge Dias
Second Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS’11
Lisbon, Portugal
2010
Conférence nationale
« Bayesian Fusion of Visible Cameras for Behaviour Recognition «
Julien Ros & Kamel Mekhnacha
Compression et Représentation des Signaux Audiovisuels (CORESA 2010)
Lyon, France
2010
« A Generative Model for 3D range Sensors in the Bayesian Occupancy Filter Framework: Application for Fusion in Smart Home Monitoring »
Julien Ros & Kamel Mekhnacha
16th International Conference on Digital Signal Processing – Special Session on Fusion of Heterogeneous Data for Robust Estimation and Classification
Santorini, Grèce
2009
« Multi-Sensor Human Tracking with the Bayesian Occupancy Filter »
Julien Ros & Kamel Mekhnacha
Second Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS’11
Lisbon, Portugal
2008
« Prometheus?: Prediction and Interpretation of Human Behaviour Based on Probabilistic Structures and Heterogeneous Sensors »
Jorgen Ahlberg, Dejan Arsic, Todor Ganchev, Anna Linderhed, Paulo Menezes, Stavros Ntalampiras, Tadeusz Olma, Ilyas Potamitis and Julien Ros
18th European Conference on Artificial Intelligence
Patras, Grèce
Copyright 2019 – Probayes – 53 avenue Jean Kuntzmann – 38330 Montbonnot – France – Tel: +33 (0)4 76 42 64 13
Mentions légales et conditions générales d’utilisations – Politique de protection des données du site internet de Probayes – Politique Cookies