Publications

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