boubezoul abderrahmane
boubezoul abderrahmane
Researcher, UGE-IFSTTAR
Verified email at
Cited by
Cited by
Application of global optimization methods to model and feature selection
A Boubezoul, S Paris
Pattern Recognition 45 (10), 3676-3686, 2012
A simple fall detection algorithm for powered two wheelers
A Boubezoul, S Espie, B Larnaudie, S Bouaziz
Control Engineering Practice 21 (3), 286-297, 2013
Data collection and processing tools for naturalistic study of powered two-wheelers users’ behaviours
S Espié, A Boubezoul, S Aupetit, S Bouaziz
Accident Analysis & Prevention 58, 330-339, 2013
Application of the cross entropy method to the GLVQ algorithm
A Boubezoul, S Paris, M Ouladsine
Pattern Recognition 41 (10), 3173-3178, 2008
Rollover risk prediction of heavy vehicles by reliability index and empirical modelling
Y Sellami, H Imine, A Boubezoul, JC Cadiou
Vehicle system dynamics 56 (3), 385-405, 2018
Powered two-wheelers critical events detection and recognition using data-driven approaches
F Attal, A Boubezoul, A Samé, L Oukhellou, S Espié
IEEE Transactions on Intelligent Transportation Systems 19 (12), 4011-4022, 2018
Powered two-wheeler riding pattern recognition using a machine-learning framework
F Attal, A Boubezoul, L Oukhellou, S Espie
IEEE Transactions on Intelligent Transportation Systems 16 (1), 475-487, 2014
The powered two wheelers fall detection using multivariate cumulative sum (mcusum) control charts
F Attal, A Boubezoul, L Oukhellou, N Cheifetz, S Espié
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
Combination of roadside and in-vehicle sensors for extensive visibility range monitoring
N Hautière, A Boubezoul
2009 Sixth IEEE International Conference on Advanced Video and Signal Based …, 2009
Riding patterns recognition for Powered two-wheelers users' behaviors analysis
F Attal, A Boubezoul, L Oukhellou, S Espie
16th International IEEE Conference on Intelligent Transportation Systems …, 2013
Vehicle trajectories classification using support vectors machines for failure trajectory prediction
A Boubezoul, A Koita, D Daucher
2009 International Conference on Advances in Computational Tools for …, 2009
Sensing the visibility range at low cost in the SAFESPOT road-side unit
N Hautière, J Bossu, E Bigorgne, N Hiblot, A Boubezoul, B Lusetti, ...
ITS world congress, 1-8, 2009
A practical approach for high precision reconstruction of a motorcycle trajectory using a low-cost multi-sensor system
S Smaiah, R Sadoun, A Elouardi, B Larnaudie, S Bouaziz, A Boubezoul, ...
Sensors 18 (7), 2282, 2018
Estimation of performance of heavy vehicles by sliding modes observers.
NK M'Sirdi, A Boubezoul, A Rabhi, LM Fridman
ICINCO-RA, 360-365, 2006
Vehicule identification from inductive loops application: Travel time estimation for a mixed population of cars and trucks
C Le Bastard, D Guilbert, A Delepoulle, A Boubezoul, SS Ieng, Y Wang
2011 14th International IEEE Conference on Intelligent Transportation …, 2011
Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic proportions
F Attal, A Boubezoul, A Samé, L Oukhellou
ESANN 2015-23rd European Symposium on Artificial Neural Networks, pp 421-426, 2015
Système d'aide au diagnostic par apprentissage: application aux systèmes microélectroniques
A Boubezoul
Aix-Marseille 3, 2008
Multi-agent reinforcement learning for autonomous vehicles: A survey
J Dinneweth, A Boubezoul, R Mandiau, S Espié
Autonomous Intelligent Systems 2 (1), 27, 2022
Dataset on powered two wheelers fall and critical events detection
A Boubezoul, F Dufour, S Bouaziz, B Larnaudie, S Espié
Data in brief 23, 2019
A data driven prognostic methodology without a priori knowledge
F Peysson, A Boubezoul, M Ouladsine, R Outbib
IFAC Proceedings Volumes 42 (8), 1462-1467, 2009
The system can't perform the operation now. Try again later.
Articles 1–20