L. Benaroya, F. Bimbot, and R. Gribonval, Audio source separation with a single sensor, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.191-199, 2006.
DOI : 10.1109/TSA.2005.854110

URL : https://hal.archives-ouvertes.fr/inria-00544949

A. T. Cemgil, P. Peeling, O. Dikmen, and S. Godsill, Prior Structures for Time-Frequency Energy Distributions, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.151-154, 2007.
DOI : 10.1109/ASPAA.2007.4393007

A. Cichocki, R. Zdunek, A. H. Phan, and S. Amari, Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation, 2009.
DOI : 10.1002/9780470747278

R. J. Croft and R. Barry, Removal of ocular artifact from the EEG: a review, Neurophysiologie Clinique/Clinical Neurophysiology, vol.30, issue.1, pp.5-19, 2000.
DOI : 10.1016/S0987-7053(00)00055-1

C. Févotte, N. Bertin, and J. Durrieu, Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis, Neural Computation, vol.14, issue.3, pp.793-830, 2009.
DOI : 10.1016/j.sigpro.2007.01.024

C. Févotte and J. Idier, Algorithms for Nonnegative Matrix Factorization with the ??-Divergence, Neural Computation, vol.11, issue.9, pp.2421-2456, 2011.
DOI : 10.1109/TASL.2009.2034186

C. Févotte and A. Ozerov, Notes on Nonnegative Tensor Factorization of the Spectrogram for Audio Source Separation: Statistical Insights and Towards Self-Clustering of the Spatial Cues, 7th International Symposium on Computer Music Modeling and Retrieval, 2010.
DOI : 10.1007/978-3-642-23126-1_8

G. Gratton, M. Coles, and E. Donchin, A new method for off-line removal of ocular artifact, Electroencephalography and Clinical Neurophysiology, vol.55, issue.4, pp.468-84, 1983.
DOI : 10.1016/0013-4694(83)90135-9

C. J. James and O. J. Gibson, Temporally constrained ica: an application to artifact rejection in electromagnetic brain signal analysis, IEEE Transactions on Biomedical Engineering, vol.50, issue.9, pp.1108-1116, 2003.
DOI : 10.1109/TBME.2003.816076

C. J. James and D. Lowe, Extracting multisource brain activity from a single electromagnetic channel, Artificial Intelligence in Medicine, vol.28, issue.1, pp.89-104, 2003.
DOI : 10.1016/S0933-3657(03)00037-X

T. , P. Jung, S. Makeig, C. Humphries, T. -w et al., Removing electroencephalographic artifacts by blind source separation, Psychophysiology, vol.37, issue.2, pp.163-178, 2000.

T. P. Jung, C. Humphries, T. W. Lee, S. Makeig, M. J. Mckeown et al., Extended ica removes artifacts from electroencephalographic recordings Advances in neural information processing systems, pp.894-900, 1998.

H. Lee and S. Choi, Group nonnegative matrix factorization for EEG classification, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2009.

P. Levan, E. Urrestarazu, and J. Gotman, A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification, Clinical Neurophysiology, vol.117, issue.4, pp.912-927, 2006.
DOI : 10.1016/j.clinph.2005.12.013

O. Lins, T. Picton, M. Berg, and . Scherg, Ocular artifacts in EEG and event-related potentials I: Scalp topography, Brain Topography, vol.36, issue.1, pp.51-63, 1993.
DOI : 10.1007/BF01234127

A. Liutkus, R. Badeau, and G. Richard, Gaussian Processes for Underdetermined Source Separation, IEEE Transactions on Signal Processing, vol.59, issue.7, pp.3155-3167, 2011.
DOI : 10.1109/TSP.2011.2119315

URL : https://hal.archives-ouvertes.fr/hal-00643951

A. Liutkus, J. Pinel, R. Badeau, L. Girin, and G. Richard, Informed source separation through spectrogram coding and data embedding, Signal Processing, vol.92, issue.8, pp.921937-1949, 2012.
DOI : 10.1016/j.sigpro.2011.09.016

URL : https://hal.archives-ouvertes.fr/hal-00643957

N. Mammone, F. L. Foresta, and F. C. Morabito, Automatic Artifact Rejection From Multichannel Scalp EEG by Wavelet ICA, IEEE Sensors Journal, vol.12, issue.3, pp.533-542, 2012.
DOI : 10.1109/JSEN.2011.2115236

M. K. Molla, T. Tanaka, and T. M. Rutkowski, Multivariate EMD based approach to EOG artifacts separation from EEG, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.653-656, 2012.
DOI : 10.1109/ICASSP.2012.6287968

A. Ozerov, E. Vincent, and F. Bimbot, A general flexible framework for the handling of prior information in audio source separation. Audio, Speech, and Language Processing, IEEE Transactions on, issue.99, p.1, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00536917

Y. Zou, J. Hart, and R. Jafari, Automatic EEG artifact removal based on ICA and Hierarchical Clustering, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.649-652, 2012.
DOI : 10.1109/ICASSP.2012.6287967