| Initializing back propagation networks with prototypes T Denoeux, R Lengellé Neural Networks 6 (3), 351-363, 1993 | 207 | 1993 |
| Sleep stage scoring using the neural network model: comparison between visual and automatic analysis in normal subjects and patients N Schaltenbrand, R Lengelle, M Toussaint, R Luthringer, G Carelli, ... Sleep 19 (1), 26-35, 1996 | 199 | 1996 |
| Neural network model: application to automatic analysis of human sleep N Schaltenbrand, R Lengelle, JP Macher Computers and Biomedical Research 26 (2), 157-171, 1993 | 129 | 1993 |
| Nonintrusive turbomachine blade vibration measurement system P Beauseroy, R Lengellé Mechanical Systems and Signal Processing 21 (4), 1717-1738, 2007 | 120 | 2007 |
| Training MLPs layer by layer using an objective function for internal representations R Lengellé, T Denoeux Neural Networks 9 (1), 83-97, 1996 | 91 | 1996 |
| Abnormal events detection using unsupervised one-class svm-application to audio surveillance and evaluation S Lecomte, R Lengellé, C Richard, F Capman, B Ravera 2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011 | 61 | 2011 |
| Joint time and time-frequency optimal detection of K-complexes in sleep EEG C Richard, R Lengelle Computers and biomedical research 31 (3), 209-229, 1998 | 48 | 1998 |
| Formal neural network as an adaptative model for water demand S Canu, R Sobral, R Lengellé International Neural Network Conference 1990, 1990 | 45 | 1990 |
| Joint recursive implementation of time—frequency representations and their modified version by the reassignment method C Richard, R Lengellé Signal Processing 60 (2), 163-179, 1997 | 35 | 1997 |
| Nonlinear adaptive filtering using kernel‐based algorithms with dictionary adaptation C Saide, R Lengelle, P Honeine, C Richard, R Achkar International Journal of Adaptive Control and Signal Processing 29 (11 …, 2015 | 34 | 2015 |
| Method and system for detecting sound events in a given environment S Lecomte, F Capman, B Ravera, R Lengelle, C Richard US Patent App. 13/962,866, 2014 | 33 | 2014 |
| An improved training algorithm for nonlinear kernel discriminants F Abdallah, C Richard, R Lengellé IEEE Transactions on Signal Processing 52 (10), 2798-2806, 2004 | 26 | 2004 |
| Online kernel adaptive algorithms with dictionary adaptation for MIMO models C Saidé, R Lengellé, P Honeine, R Achkar IEEE Signal Processing Letters 20 (5), 535-538, 2013 | 24 | 2013 |
| Data-driven design and complexity control of time–frequency detectors C Richard, R Lengellé Signal Processing 77 (1), 37-48, 1999 | 23 | 1999 |
| Décision et reconnaissance des formes en signal R Lengellé Hermès; Lavoisier, 2002 | 22 | 2002 |
| New results on the relation between tyre–road longitudinal stiffness and maximum available grip for motor car A Andrieux, PO Vandanjon, R Lengellé, C Chabanon Vehicle system dynamics 48 (12), 1511-1533, 2010 | 20 | 2010 |
| Statistical decision tree: A tool for studying pharmaco-EEG effects of CNS-active drugs KT Dago, R Luthringer, R Lengellé, G Rinaudo, JP Macher Neuropsychobiology 29 (2), 91-96, 1994 | 20 | 1994 |
| Maximum margin one class support vector machines for multiclass problems M Tohmé, R Lengellé Pattern Recognition Letters 32 (13), 1652-1658, 2011 | 19 | 2011 |
| Dictionary adaptation for online prediction of time series data with kernels C Saidé, R Lengellé, P Honeine, C Richard, R Achkar 2012 IEEE Statistical Signal Processing Workshop (SSP), 604-607, 2012 | 17 | 2012 |
| Nonlinear regularized Wiener filtering with kernels: Application in denoising MEG data corrupted by ECG I Constantin, C Richard, R Lengelle, L Soufflet IEEE transactions on signal processing 54 (12), 4796-4806, 2006 | 16 | 2006 |
Paul HoneineProfessor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen NormandieAdresse e-mail validée de univ-rouen.fr
