Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture C Jutten, J Herault Signal processing 24 (1), 1-10, 1991 | 3964 | 1991 |
Handbook of Blind Source Separation: Independent component analysis and applications P Comon, C Jutten Academic press, 2010 | 2501 | 2010 |
A Fast Approach for Overcomplete Sparse Decomposition Based on SmoothedNorm H Mohimani, M Babaie-Zadeh, C Jutten IEEE Transactions on Signal Processing 57 (1), 289-301, 2008 | 1411 | 2008 |
Multimodal data fusion: an overview of methods, challenges, and prospects D Lahat, T Adali, C Jutten Proceedings of the IEEE 103 (9), 1449-1477, 2015 | 1095 | 2015 |
OP-ELM: optimally pruned extreme learning machine Y Miche, A Sorjamaa, P Bas, O Simula, C Jutten, A Lendasse IEEE transactions on neural networks 21 (1), 158-162, 2009 | 905 | 2009 |
Multiclass brain–computer interface classification by Riemannian geometry A Barachant, S Bonnet, M Congedo, C Jutten IEEE Transactions on Biomedical Engineering 59 (4), 920-928, 2011 | 854 | 2011 |
Space or time adaptive signal processing by neural network models J Herault, C Jutten AIP conference proceedings 151 (1), 206-211, 1986 | 690 | 1986 |
A nonlinear Bayesian filtering framework for ECG denoising R Sameni, MB Shamsollahi, C Jutten, GD Clifford IEEE transactions on Biomedical Engineering 54 (12), 2172-2185, 2007 | 651 | 2007 |
Source separation in post-nonlinear mixtures A Taleb, C Jutten IEEE Transactions on signal Processing 47 (10), 2807-2820, 1999 | 592 | 1999 |
Blind separation of sources, Part II: Problems statement P Comon, C Jutten, J Herault Signal processing 24 (1), 11-20, 1991 | 546 | 1991 |
Classification of covariance matrices using a Riemannian-based kernel for BCI applications A Barachant, S Bonnet, M Congedo, C Jutten Neurocomputing 112, 172-178, 2013 | 482 | 2013 |
Blind source separation for convolutive mixtures HLN Thi, C Jutten Signal processing 45 (2), 209-229, 1995 | 451 | 1995 |
Neural networks in geophysical applications M Van der Baan, C Jutten Geophysics 65 (4), 1032-1047, 2000 | 450 | 2000 |
Hyperspectral image classification with independent component discriminant analysis A Villa, JA Benediktsson, J Chanussot, C Jutten IEEE transactions on Geoscience and remote sensing 49 (12), 4865-4876, 2011 | 433 | 2011 |
Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures C Jutten, J Karhunen International journal of neural systems 14 (05), 267-292, 2004 | 392 | 2004 |
Détection de grandeurs primitives dans un message composite par une architecture de calcul neuromimétique en apprentissage non supervisé J Hérault Proceedings of GRETSI, 1017-1020, 1985 | 363 | 1985 |
Transfer learning: A Riemannian geometry framework with applications to brain–computer interfaces P Zanini, M Congedo, C Jutten, S Said, Y Berthoumieu IEEE Transactions on Biomedical Engineering 65 (5), 1107-1116, 2017 | 336 | 2017 |
Multichannel electrocardiogram decomposition using periodic component analysis R Sameni, C Jutten, MB Shamsollahi IEEE transactions on biomedical engineering 55 (8), 1935-1940, 2008 | 280 | 2008 |
Riemannian geometry applied to BCI classification A Barachant, S Bonnet, M Congedo, C Jutten International conference on latent variable analysis and signal separation …, 2010 | 263 | 2010 |
Independent component analysis versus PCA C Jutten Proceeding of European Signal Processing Conferemce, 1988, 1988 | 261 | 1988 |