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ORCIDRégis Lengellé
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2020 – today
- 2023
[j11]Bruno Muller
, Régis Lengellé:
Sparse Decomposition of Heart Rate Using a Bernoulli-Gaussian Model: Application to Sleep Apnoea Detection. Sensors 23(7): 3743 (2023)- 2021
- [j10]Bruno Muller, Régis Lengellé:
Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate. Comput. Methods Programs Biomed. 208: 106280 (2021)
2010 – 2019
- 2017
- [c17]Xiaoyi Chen, Régis Lengellé:
Domain Adaptation Transfer Learning by Kernel Representation Adaptation. ICPRAM (Revised Selected Papers) 2017: 45-61 - [c16]Xiaoyi Chen, Régis Lengellé:
Domain Adaptation Transfer Learning by SVM Subject to a Maximum-Mean-Discrepancy-like Constraint. ICPRAM 2017: 89-95 - 2014
- [c15]Na Li, Nicolas Lefebvre, Régis Lengellé:
Kernel Hierarchical Agglomerative Clustering - Comparison of Different Gap Statistics to Estimate the Number of Clusters. ICPRAM 2014: 255-262 - 2013
- [j9]Chafic Saidé, Régis Lengellé, Paul Honeine, Roger Achkar:
Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models. IEEE Signal Process. Lett. 20(5): 535-538 (2013) - [c14]Ibtissam Constantin, Régis Lengellé:
Performance Analysis of Kernel Adaptive Filters based on LMS Algorithm. Complex Adaptive Systems 2013: 39-45 - [c13]Fahed Abdallah, Hichem Snoussi, Hicham Laanaya, Régis Lengellé:
Learning General Gaussian Kernel Hyperparameters for SVR. GSI 2013: 677-684 - 2012
- [c12]Chafic Saidé, Régis Lengellé, Paul Honeine, Cédric Richard, Roger Achkar:
Dictionary adaptation for online prediction of time series data with kernels. SSP 2012: 604-607 - 2011
- [j8]Mireille Tohmé, Régis Lengellé:
Maximum Margin One Class Support Vector Machines for multiclass problems. Pattern Recognit. Lett. 32(13): 1652-1658 (2011) - [c11]Sébastien Lecomte, Régis Lengellé, Cédric Richard, François Capman, Bertrand Ravera:
Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -. AVSS 2011: 124-129
2000 – 2009
- 2009
- [c10]Mireille Tohmé, Régis Lengellé:
Sequential Maximum Gradient Optimization for Support Vector detection. EUSIPCO 2009: 1705-1709 - 2008
- [c9]Mireille Tohmé, Régis Lengellé:
F-SVR: A new learning algorithm for support vector regression. ICASSP 2008: 2005-2008 - 2006
- [j7]Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet:
Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG. IEEE Trans. Signal Process. 54(12): 4796-4806 (2006) - 2005
- [c8]Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet:
Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising. ICASSP (4) 2005: 289-292 - 2004
- [j6]Fahed Abdallah, Cédric Richard, Régis Lengellé:
An improved training algorithm for nonlinear kernel discriminants. IEEE Trans. Signal Process. 52(10): 2798-2806 (2004) - [c7]Fahed Abdallah, Cédric Richard, Régis Lengellé:
A sequential approach for multi-class discriminant analysis with kernels. ICASSP (5) 2004: 453-456 - 2003
- [c6]Fahed Abdallah, Cédric Richard, Régis Lengellé:
Kernel second-order discriminants versus support vector machines. ICASSP (6) 2003: 149-152 - 2002
- [j5]Cédric Richard, Régis Lengellé, Fahed Abdallah:
Bayes-optimal detectors design using relevant second-order criteria. IEEE Signal Process. Lett. 9(1): 32-33 (2002) - [c5]Fahed Abdallah, Cédric Richard, Régis Lengellé:
On equivalence between detectors obtained from second-order measures of performance. EUSIPCO 2002: 1-4 - [c4]Julien Gosme, Paulo Gonçalves, Cédric Richard, Régis Lengellé:
Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors. EUSIPCO 2002: 1-4 - 2000
- [c3]Cédric Richard, Régis Lengellé:
On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals. ICASSP 2000: 85-88
1990 – 1999
- 1999
- [j4]Cédric Richard, Régis Lengellé:
Data-driven design and complexity control of time-frequency detectors. Signal Process. 77(1): 37-48 (1999) - 1998
- [c2]Cédric Richard, Régis Lengellé:
Structural risk minimization for reduced-bias time-frequency-based detectors design. ICASSP 1998: 2397-2400 - 1997
- [j3]Cédric Richard, Régis Lengellé:
Joint recursive implementation of time - frequency representations and their modified version by the reassignment method. Signal Process. 60(2): 163-179 (1997) - 1996
- [j2]Régis Lengellé, Thierry Denoeux:
Training MLPs layer by layer using an objective function for internal representations. Neural Networks 9(1): 83-97 (1996) - 1995
- [c1]Mohamed Karouia, Régis Lengellé, Thierry Denoeux:
Performance analysis of a MLP weight initialization algorithm. ESANN 1995 - 1993
- [j1]Thierry Denoeux, Régis Lengellé:
Initializing back propagation networks with prototypes. Neural Networks 6(3): 351-363 (1993)
Coauthor Index
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