Improving neural network estimation in presence of non i.i.d. noise. - Shahram Hosseini; Christian Jutten (ESANN, 1998)

Simultaneous Estimation of Signal and Noise in the Constructive Neural Networks. - Shahram Hosseini; Christian Jutten (NC, 1998)

Colored noise in dynamic systems: unbiased modeling by constructive neural networks. - Shahram Hosseini; Christian Jutten (IJCNN, 1999)

Weight Freezing in Constructive Neural Networks: A Novel Approach. - Shahram Hosseini; Christian Jutten (IWANN (2), 1999)

Spatio-temporal correlated noise in multi-output neural networks. - Shahram Hosseini; Christian Jutten (ICASSP, 2000)

Maximum likelihood neural approximation in presence of additive colored noise. - Shahram Hosseini; Christian Jutten (IEEE Trans. Neural Networks, 2002)

Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure. - Shahram Hosseini; Yannick Deville (IWANN (2), 2003)

Neural Network Modeling of Ambulatory Systolic Blood Pressure for Hypertension Diagnosis. - Shahram Hosseini; Christian Jutten; Sylvie Charbonnier (IWANN (2), 2003)

On the separability of nonlinear mixtures of temporally correlated sources. - Shahram Hosseini; Christian Jutten (IEEE Signal Process. Lett., 2003)

Markovian source separation. - Shahram Hosseini; Christian Jutten; Dinh-Tuan Pham (IEEE Trans. Signal Process., 2003)

Blind Separation of Nonstationary Sources by Spectral Decorrelation. - Shahram Hosseini; Yannick Deville (ICA, 2004)

Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture. - Shahram Hosseini; Yannick Deville (ICA, 2004)

Markovian Source Separation in Post-nonlinear Mixtures. - Anthony Larue; Christian Jutten; Shahram Hosseini (ICA, 2004)

Three easy ways for separating nonlinear mixtures? - Christian Jutten; Massoud Babaie-Zadeh; Shahram Hosseini (Signal Process., 2004)

A time-scale correlation-based blind separation method applicable to correlated sources. - Yannick Deville; Dass Bissessur; Matthieu Puigt; Shahram Hosseini; Hervé Carfantan (ESANN, 2006)

Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures. - Yannick Deville; Johanna Chappuis; Shahram Hosseini; Johan Thomas (ICA, 2006)

Markovian Blind Image Separation. - Shahram Hosseini; Rima Guidara; Yannick Deville; Christian Jutten (ICA, 2006)

Time-domain fast fixed-point algorithms for convolutive ICA. - Johan Thomas; Yannick Deville; Shahram Hosseini (IEEE Signal Process. Lett., 2006)

Markovian blind separation of non-stationary temporally correlated sources. - Rima Guidara; Shahram Hosseini; Yannick Deville (ESANN, 2007)

Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation. - Yannick Deville; Shahram Hosseini (ICA, 2007)

Blind Separation of Non-stationary Images Using Markov Models. - Rima Guidara; Shahram Hosseini; Yannick Deville (ICA, 2007)

Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals. - Yannick Deville; Shahram Hosseini (ISSPA, 2007)

Differential Fast Fixed-Point Algorithms for Underdetermined Instantaneous and Convolutive Partial Blind Source Separation. - Johan Thomas; Yannick Deville; Shahram Hosseini (IEEE Trans. Signal Process., 2007)

Extension of EFICA algorithm for blind separation of piecewise stationary non Gaussian sources. - Zbynek Koldovský; Jirí Málek; Petr Tichavský; Yannick Deville; Shahram Hosseini (ICASSP, 2008)

Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification. - Johan Thomas; Yannick Deville; Shahram Hosseini (IEEE Trans. Signal Process., 2008)

Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation. - Hicham Saylani; Shahram Hosseini; Yannick Deville (ICA, 2009)

Source separation algorithms for the analysis of hyper-spectral observations of very small interstellar dust particles. - Olivier Berné; Christine Joblin; A. Tielens; Yannick Deville; Matthieu Puigt; Rima Guidara; Shahram Hosseini; Giacomo Mulas; J. Cami (WHISPERS, 2009)

Improvement of remote sensing multispectral image classification by using Independent Component Analysis. - Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini; Abdelaziz Ouamri; D. Ducrot (WHISPERS, 2009)

Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations. - Yannick Deville; Shahram Hosseini (Signal Process., 2009)

Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain. - Shahram Hosseini; Yannick Deville; Hicham Saylani (Signal Process., 2009)

Blind separation of piecewise stationary non-Gaussian sources. - Zbynek Koldovský; Jirí Málek; Petr Tichavský; Yannick Deville; Shahram Hosseini (Signal Process., 2009)

Blind Separation of Nonstationary Markovian Sources Using an Equivariant Newton-Raphson Algorithm. - Rima Guidara; Shahram Hosseini; Yannick Deville (IEEE Signal Process. Lett., 2009)

Maximum Likelihood Blind Image Separation Using Nonsymmetrical Half-Plane Markov Random Fields. - Rima Guidara; Shahram Hosseini; Yannick Deville (IEEE Trans. Image Process., 2009)

Cumulant-based estimation of quadratic mixture parameters for blind source separation. - Chahinez Chaouchi; Yannick Deville; Shahram Hosseini (EUSIPCO, 2010)

Noisy cyclo-stationary BSS using frequency-domain pseudo-correlation. - Hicham Saylani; Shahram Hosseini; Yannick Deville (EUSIPCO, 2010)

Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme. - Yannick Deville; Shahram Hosseini (LVA/ICA, 2010)

Blind Separation of Convolutive Mixtures of Non-stationary Sources Using Joint Block Diagonalization in the Frequency Domain. - Hicham Saylani; Shahram Hosseini; Yannick Deville (LVA/ICA, 2010)

Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing. - Ines Meganem; Yannick Deville; Shahram Hosseini; Philippe Déliot; Xavier Briottet; Leonardo Tomazeli Duarte (EUSIPCO, 2011)

Physical modelling and non-linear unmixing method for urban hyperspectral images. - Ines Meganem; Philippe Déliot; Xavier Briottet; Yannick Deville; Shahram Hosseini (WHISPERS, 2011)

Extraction of stellar spectra from dense fields in hyperspectral muse data cubes using non-negative matrix factorization. - Ines Meganem; Yannick Deville; Shahram Hosseini; Hervé Carfantan; Moussa Sofiane Karoui (WHISPERS, 2011)

Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures. - Yannick Deville; Shahram Hosseini; Alain Deville (Signal Process., 2011)

Nonlinear Blind Source Separation Applied to a Simple Bijective Model. - Shahram Hosseini; Yannick Deville; Sonia El Amine; Hicham Saylani (ICISP, 2012)

Blind Separation of Convolutive Mixtures of Non-stationary and Temporally Uncorrelated Sources Based on Joint Diagonalization. - Hicham Saylani; Shahram Hosseini; Yannick Deville (ICISP, 2012)

A new spatial sparsity-based method for extracting endmember spectra from hyperspectral data with some pure pixels. - Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini; Abdelaziz Ouamri (IGARSS, 2012)

Blind spatial unmixing of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints. - Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini; Abdelaziz Ouamri (Pattern Recognit., 2012)

Positivity-based separation of stellar spectra using a parametric mixing model. - Ines Meganem; Shahram Hosseini; Yannick Deville (EUSIPCO, 2013)

Hyperspectral image unmixing by non-negative matrix factorization initialized with modified independent component analysis. - Djaouad Benachir; Yannick Deville; Shahram Hosseini; Moussa Sofiane Karoui; Abdelkader Hameurlain (WHISPERS, 2013)

Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations. - Shahram Hosseini; Yannick Deville (Signal Process., 2013)

A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model. - Lina Jarboui; Shahram Hosseini; Yannick Deville; Rima Guidara; Ahmed Ben Hamida (ATSIP, 2014)

Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties. - Djaouad Benachir; Yannick Deville; Shahram Hosseini (ICASSP, 2014)

Linear-Quadratic Mixing Model for Reflectances in Urban Environments. - Ines Meganem; Philippe Déliot; Xavier Briottet; Yannick Deville; Shahram Hosseini (IEEE Trans. Geosci. Remote. Sens., 2014)

Blind Separation of Parametric Nonlinear Mixtures of Possibly Autocorrelated and Non-Stationary Sources. - Shahram Hosseini; Yannick Deville (IEEE Trans. Signal Process., 2014)

Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images. - Ines Meganem; Yannick Deville; Shahram Hosseini; Philippe Déliot; Xavier Briottet (IEEE Trans. Signal Process., 2014)

Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy. - Ahmed Selloum; Shahram Hosseini; Thierry Contini; Yannick Deville (EUSIPCO, 2015)

A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model. - Lina Jarboui; Shahram Hosseini; Rima Guidara; Yannick Deville; Ahmed Ben Hamida (ICASSP, 2016)

Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. - Shahram Hosseini; Yannick Deville; Leonardo Tomazeli Duarte; Ahmed Selloum (MLSP, 2016)

Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra. - Ahmed Selloum; Shahram Hosseini; Yannick Deville; Thierry Contini (MLSP, 2016)

A new multiplicative nonnegative matrix factorization method for unmixing hyperspectral images combined with multispectral data. - Yasmine Kheira Benkouider; Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini (EUSIPCO, 2017)

Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data. - Moussa Sofiane Karoui; Shahram Hosseini; Yannick Deville; Abdelaziz Ouamri; Ines Meganem (ICASSP, 2017)

A Blind Source Separation Method Based on Output Nonlinear Correlation for Bilinear Mixtures. - Andréa Guerrero; Yannick Deville; Shahram Hosseini (LVA/ICA, 2018)

Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data. - Yasmine Kheira Benkouider; Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini (WHISPERS, 2018)

A second-order blind source separation method for bilinear mixtures. - Lina Jarboui; Yannick Deville; Shahram Hosseini; Rima Guidara; Ahmed Ben Hamida; Leonardo Tomazeli Duarte (Multidimens. Syst. Signal Process., 2018)

A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy. - Andréa Guerrero; Shahram Hosseini; Yannick Deville; Thierry Contini; Tristan Grégoire (ICASSP, 2019)

Blind source separation methods based on output nonlinear correlation for bilinear mixtures of an arbitrary number of possibly correlated signals. - Yannick Deville; Shahram Hosseini (SAM, 2020)

Separation of galaxy spectra measured with slitless spectroscopy. - Shahram Hosseini; Ahmed Selloum; Thierry Contini; Yannick Deville (Digit. Signal Process., 2020)

Blind Unmixing of Hyperspectral Remote Sensing Data: A New Geometrical Method Based on a Two-Source Sparsity Constraint. - Djaouad Benachir; Yannick Deville; Shahram Hosseini; Moussa Sofiane Karoui (Remote. Sens., 2020)

Decontamination of galaxy spectra using four dispersion directions. - Mostafa Bella; Shahram Hosseini; Hicham Saylani; Thierry Contini; Tristan Grégoire; Andréa Guerrero; Yannick Deville (EUSIPCO, 2022)

Blind Separation of Linear-Quadratic Mixtures of Mutually Independent and Autocorrelated Sources. - Shahram Hosseini; Yannick Deville (ICASSP, 2022)

Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation. - Mostafa Bella; Hicham Saylani; Shahram Hosseini; Yannick Deville (MMSP, 2022)

A robust meta-heuristic adaptive Bi-CGSTAB algorithm to online estimation of a three DoF state-space model in the presence of disturbance and uncertainty. - Shahram Hosseini; M. Navabi; Masoud Hajarian (Int. J. Syst. Sci., 2022)

Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming. - Mostafa Bella; Hicham Saylani; Shahram Hosseini; Yannick Deville (IEEE Access, 2023)

Fourier Domain Approach for Galaxy Spectra Decontamination and Deconvolution. - Mostafa Bella; Shahram Hosseini; Hicham Saylani; Thierry Contini; Tristan Grégoire; Yannick Deville (ICASSP, 2024)