A robotic CAD system using a Bayesian framework. - Kamel Mekhnacha; Emmanuel Mazer; Pierre Bessière (IROS, 2000)

The design and implementation of a Bayesian CAD modeler for robotic applications. - Kamel Mekhnacha; Emmanuel Mazer; Pierre Bessière (Adv. Robotics, 2001)

Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application. - Cheng Chen; Christopher Tay; Christian Laugier; Kamel Mekhnacha (ICARCV, 2006)

Exact and approximate inference in ProBT. - Kamel Mekhnacha; Juan Manuel Ahuactzin; Pierre Bessière; Emmanuel Mazer; Linda Smail (Rev. d'Intelligence Artif., 2007)

The "fast clustering-tracking" algorithm in the Bayesian occupancy filter framework. - Kamel Mekhnacha; Yong Mao; David Raulo; Christian Laugier (MFI, 2008)

BCAD: A Bayesian CAD System for Geometric Problems Specification and Resolution. - Kamel Mekhnacha; Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

The Bayesian Occupation Filter. - M. K. Tay; Kamel Mekhnacha; Manuel Yguel; Christophe Coué; Cédric Pradalier; Christian Laugier; Thierry Fraichard; Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Multi-sensor human tracking with the Bayesian Occupancy Filter. - Julien Ros; Kamel Mekhnacha (DPS, 2009)

A generative model for 3D range sensors in the Bayesian Occupancy filter framework: Application for fusion in smart home monitoring. - Julien Ros; Kamel Mekhnacha (FUSION, 2010)

HMM-Based Abnormal Behaviour Detection Using Heterogeneous Sensor Network. - Hadi Aliakbarpour; Kamrad Khoshhal; João Quintas; Kamel Mekhnacha; Julien Ros; Maria Andersson; Jorge Dias 001 (DoCEIS, 2011)

LMA-Based Human Behaviour Analysis Using HMM. - Kamrad Khoshhal; Hadi Aliakbarpour; Kamel Mekhnacha; Julien Ros; João Quintas; Jorge Dias 001 (DoCEIS, 2011)

Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety. - Christian Laugier; Igor E. Paromtchik; Mathias Perrollaz; Yong Mao; John-David Yoder; Christopher Tay; Kamel Mekhnacha; Amaury Nègre (IEEE Intell. Transp. Syst. Mag., 2011)

Learning through sharing and distributing knowledge with application to object recognition and information retrieval. - Alexis Mignon; Alban Bronisz; Ronan Le Hy; Kamel Mekhnacha; Luís Santos 001 (RO-MAN, 2017)

Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic Data. - Christine Sinoquet; Kamel Mekhnacha (DSAA, 2018)

Combining latent tree modeling with a random forest-based approach, for genetic association studies. - Christine Sinoquet; Kamel Mekhnacha (ESANN, 2018)

Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics Application. - Christine Sinoquet; Kamel Mekhnacha (IDA, 2018)