Initializing back propagation networks with prototypes. - Thierry Denoeux; Régis Lengellé (Neural Networks, 1993)

Performance analysis of a MLP weight initialization algorithm. - Mohamed Karouia; Régis Lengellé; Thierry Denoeux (ESANN, 1995)

Training MLPs layer by layer using an objective function for internal representations. - Régis Lengellé; Thierry Denoeux (Neural Networks, 1996)

Joint recursive implementation of time - frequency representations and their modified version by the reassignment method. - Cédric Richard; Régis Lengellé (Signal Process., 1997)

Structural risk minimization for reduced-bias time-frequency-based detectors design. - Cédric Richard; Régis Lengellé (ICASSP, 1998)

Data-driven design and complexity control of time-frequency detectors. - Cédric Richard; Régis Lengellé (Signal Process., 1999)

On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals. - Cédric Richard; Régis Lengellé (ICASSP, 2000)

On equivalence between detectors obtained from second-order measures of performance. - Fahed Abdallah; Cédric Richard; Régis Lengellé (EUSIPCO, 2002)

Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors. - Julien Gosme; Paulo Gonçalves 001; Cédric Richard; Régis Lengellé (EUSIPCO, 2002)

Bayes-optimal detectors design using relevant second-order criteria. - Cédric Richard; Régis Lengellé; Fahed Abdallah (IEEE Signal Process. Lett., 2002)

Kernel second-order discriminants versus support vector machines. - Fahed Abdallah; Cédric Richard; Régis Lengellé (ICASSP (6), 2003)

A sequential approach for multi-class discriminant analysis with kernels. - Fahed Abdallah; Cédric Richard; Régis Lengellé (ICASSP (5), 2004)

An improved training algorithm for nonlinear kernel discriminants. - Fahed Abdallah; Cédric Richard; Régis Lengellé (IEEE Trans. Signal Process., 2004)

Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising. - Ibtissam Constantin; Cédric Richard; Régis Lengellé; Laurent Soufflet (ICASSP (4), 2005)

Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG. - Ibtissam Constantin; Cédric Richard; Régis Lengellé; Laurent Soufflet (IEEE Trans. Signal Process., 2006)

F-SVR: A new learning algorithm for support vector regression. - Mireille Tohmé; Régis Lengellé (ICASSP, 2008)

Sequential Maximum Gradient Optimization for Support Vector detection. - Mireille Tohmé; Régis Lengellé (EUSIPCO, 2009)

Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -. - Sébastien Lecomte; Régis Lengellé; Cédric Richard; François Capman; Bertrand Ravera (AVSS, 2011)

Maximum Margin One Class Support Vector Machines for multiclass problems. - Mireille Tohmé; Régis Lengellé (Pattern Recognit. Lett., 2011)

Dictionary adaptation for online prediction of time series data with kernels. - Chafic Saidé; Régis Lengellé; Paul Honeine; Cédric Richard; Roger Achkar (SSP, 2012)

Performance Analysis of Kernel Adaptive Filters based on LMS Algorithm. - Ibtissam Constantin; Régis Lengellé (Complex Adaptive Systems, 2013)

Learning General Gaussian Kernel Hyperparameters for SVR. - Fahed Abdallah; Hichem Snoussi; Hicham Laanaya; Régis Lengellé (GSI, 2013)

Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models. - Chafic Saidé; Régis Lengellé; Paul Honeine; Roger Achkar (IEEE Signal Process. Lett., 2013)

Kernel Hierarchical Agglomerative Clustering - Comparison of Different Gap Statistics to Estimate the Number of Clusters. - Na Li 011; Nicolas Lefebvre; Régis Lengellé (ICPRAM, 2014)

Domain Adaptation Transfer Learning by SVM Subject to a Maximum-Mean-Discrepancy-like Constraint. - Xiaoyi Chen 001; Régis Lengellé (ICPRAM, 2017)

Domain Adaptation Transfer Learning by Kernel Representation Adaptation. - Xiaoyi Chen 001; Régis Lengellé (ICPRAM (Revised Selected Papers), 2017)

Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate. - Bruno Muller; Régis Lengellé (Comput. Methods Programs Biomed., 2021)

Sparse Decomposition of Heart Rate Using a Bernoulli-Gaussian Model: Application to Sleep Apnoea Detection. - Bruno Muller; Régis Lengellé (Sensors, 2023)