Kamel Mekhnacha - researchr alias

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Viewing Publication 1 - 16 from 16

2018

Combining latent tree modeling with a random forest-based approach, for genetic association studiesChristine Sinoquet, Kamel Mekhnacha. esann 2018: [doi]

Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics ApplicationChristine Sinoquet, Kamel Mekhnacha. ida 2018: 290-302 [doi]

Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic DataChristine Sinoquet, Kamel Mekhnacha. dsaa 2018: 217-226 [doi]

2017

Learning through sharing and distributing knowledge with application to object recognition and information retrievalAlexis Mignon, Alban Bronisz, Ronan Le Hy, Kamel Mekhnacha, Luis Santos. ro-man 2017: 1273-1278 [doi]

2011

2010

A generative model for 3D range sensors in the Bayesian Occupancy filter framework: Application for fusion in smart home monitoringJulien Ros, Kamel Mekhnacha. fusion 2010: 1-8 [doi]

2009

Multi-sensor human tracking with the Bayesian Occupancy FilterJulien Ros, Kamel Mekhnacha. icdsp 2009: 1-8 [doi]

2008

The "fast clustering-tracking" algorithm in the Bayesian occupancy filter frameworkKamel Mekhnacha, Yong Mao, David Raulo, Christian Laugier. mfi 2008: 238-245 [doi]

BCAD: A Bayesian CAD System for Geometric Problems Specification and ResolutionKamel Mekhnacha, Pierre Bessière. In Pierre Bessière, Christian Laugier, Roland Siegwart, editors, Probabilistic Reasoning and Decision Making in Sensory-Motor Systems. Volume 46 of Springer Tracts in Advanced Robotics, pages 205-231, 2008. [doi]

The Bayesian Occupation FilterM. K. Tay, Kamel Mekhnacha, Manuel Yguel, Christophe Coué, Cédric Pradalier, Christian Laugier, Thierry Fraichard, Pierre Bessière. In Pierre Bessière, Christian Laugier, Roland Siegwart, editors, Probabilistic Reasoning and Decision Making in Sensory-Motor Systems. Volume 46 of Springer Tracts in Advanced Robotics, pages 77-98, 2008. [doi]

2007

Exact and approximate inference in ProBTKamel Mekhnacha, Juan Manuel Ahuactzin, Pierre Bessière, Emmanuel Mazer, Linda Smail. ria, 21(3):295-332, 2007. [doi]

2006

Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking ApplicationCheng Chen, Christopher Tay, Christian Laugier, Kamel Mekhnacha. icarcv 2006: 1-6 [doi]

2001

The design and implementation of a Bayesian CAD modeler for robotic applicationsKamel Mekhnacha, Emmanuel Mazer, Pierre Bessière. ar, 15(1):45-69, 2001. [doi]

2000

A robotic CAD system using a Bayesian frameworkKamel Mekhnacha, Emmanuel Mazer, Pierre Bessière. iros 2000: 1597-1604 [doi]

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