Shahram Hosseini

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 19

Top Topics

Source Separation

Spectral Images

Negative Matrix Factorization

Top Venues

IEEE Trans. Signal Process.

Publications

Mostafa Bella, Shahram Hosseini, Hicham Saylani, Thierry Contini, Tristan Grégoire, Yannick Deville
Fourier Domain Approach for Galaxy Spectra Decontamination and Deconvolution. ICASSP (2024)
Mostafa Bella, Hicham Saylani, Shahram Hosseini, Yannick Deville
Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming. IEEE Access 11 (2023)
Shahram Hosseini, Yannick Deville
Blind Separation of Linear-Quadratic Mixtures of Mutually Independent and Autocorrelated Sources. ICASSP (2022)
Shahram Hosseini, M. Navabi, Masoud Hajarian
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. Int. J. Syst. Sci. 53 (4) (2022)
Mostafa Bella, Shahram Hosseini, Hicham Saylani, Thierry Contini, Tristan Grégoire, Andréa Guerrero, Yannick Deville
Decontamination of galaxy spectra using four dispersion directions. EUSIPCO (2022)
Mostafa Bella, Hicham Saylani, Shahram Hosseini, Yannick Deville
Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation. MMSP (2022)
Yannick Deville, Shahram Hosseini
Blind source separation methods based on output nonlinear correlation for bilinear mixtures of an arbitrary number of possibly correlated signals. SAM (2020)
Shahram Hosseini, Ahmed Selloum, Thierry Contini, Yannick Deville
Separation of galaxy spectra measured with slitless spectroscopy. Digit. Signal Process. 106 (2020)
Djaouad Benachir, Yannick Deville, Shahram Hosseini, Moussa Sofiane Karoui
Blind Unmixing of Hyperspectral Remote Sensing Data: A New Geometrical Method Based on a Two-Source Sparsity Constraint. Remote. Sens. 12 (19) (2020)
Andréa Guerrero, Shahram Hosseini, Yannick Deville, Thierry Contini, Tristan Grégoire
A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy. ICASSP (2019)
Yasmine Kheira Benkouider, Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Yannick Deville, Shahram Hosseini
Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data. WHISPERS (2018)
Andréa Guerrero, Yannick Deville, Shahram Hosseini
A Blind Source Separation Method Based on Output Nonlinear Correlation for Bilinear Mixtures. LVA/ICA (2018)
Lina Jarboui, Yannick Deville, Shahram Hosseini, Rima Guidara, Ahmed Ben Hamida, Leonardo Tomazeli Duarte
A second-order blind source separation method for bilinear mixtures. Multidimens. Syst. Signal Process. 29 (3) (2018)
Yasmine Kheira Benkouider, Moussa Sofiane Karoui, Yannick Deville, Shahram Hosseini
A new multiplicative nonnegative matrix factorization method for unmixing hyperspectral images combined with multispectral data. EUSIPCO (2017)
Moussa Sofiane Karoui, Shahram Hosseini, Yannick Deville, Abdelaziz Ouamri, Ines Meganem
Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data. ICASSP (2017)
Shahram Hosseini, Yannick Deville, Leonardo Tomazeli Duarte, Ahmed Selloum
Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. MLSP (2016)
Ahmed Selloum, Shahram Hosseini, Yannick Deville, Thierry Contini
Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra. MLSP (2016)
Lina Jarboui, Shahram Hosseini, Rima Guidara, Yannick Deville, Ahmed Ben Hamida
A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model. ICASSP (2016)
Ahmed Selloum, Shahram Hosseini, Thierry Contini, Yannick Deville
Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy. EUSIPCO (2015)
Ines Meganem, Yannick Deville, Shahram Hosseini, Philippe Déliot, Xavier Briottet
Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images. IEEE Trans. Signal Process. 62 (7) (2014)
Lina Jarboui, Shahram Hosseini, Yannick Deville, Rima Guidara, Ahmed Ben Hamida
A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model. ATSIP (2014)
Ines Meganem, Philippe Déliot, Xavier Briottet, Yannick Deville, Shahram Hosseini
Linear-Quadratic Mixing Model for Reflectances in Urban Environments. IEEE Trans. Geosci. Remote. Sens. 52 (1) (2014)
Djaouad Benachir, Yannick Deville, Shahram Hosseini
Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties. ICASSP (2014)
Shahram Hosseini, Yannick Deville
Blind Separation of Parametric Nonlinear Mixtures of Possibly Autocorrelated and Non-Stationary Sources. IEEE Trans. Signal Process. 62 (24) (2014)
Shahram Hosseini, Yannick Deville
Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations. Signal Process. 93 (4) (2013)
Ines Meganem, Shahram Hosseini, Yannick Deville
Positivity-based separation of stellar spectra using a parametric mixing model. EUSIPCO (2013)
Djaouad Benachir, Yannick Deville, Shahram Hosseini, Moussa Sofiane Karoui, Abdelkader Hameurlain
Hyperspectral image unmixing by non-negative matrix factorization initialized with modified independent component analysis. WHISPERS (2013)
Hicham Saylani, Shahram Hosseini, Yannick Deville
Blind Separation of Convolutive Mixtures of Non-stationary and Temporally Uncorrelated Sources Based on Joint Diagonalization. ICISP (2012)
Moussa Sofiane Karoui, Yannick Deville, Shahram Hosseini, Abdelaziz Ouamri
Blind spatial unmixing of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints. Pattern Recognit. 45 (12) (2012)
Moussa Sofiane Karoui, Yannick Deville, Shahram Hosseini, Abdelaziz Ouamri
A new spatial sparsity-based method for extracting endmember spectra from hyperspectral data with some pure pixels. IGARSS (2012)
Shahram Hosseini, Yannick Deville, Sonia El Amine, Hicham Saylani
Nonlinear Blind Source Separation Applied to a Simple Bijective Model. ICISP (2012)
Yannick Deville, Shahram Hosseini, Alain Deville
Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures. Signal Process. 91 (4) (2011)
Ines Meganem, Yannick Deville, Shahram Hosseini, Hervé Carfantan, Moussa Sofiane Karoui
Extraction of stellar spectra from dense fields in hyperspectral muse data cubes using non-negative matrix factorization. WHISPERS (2011)
Ines Meganem, Philippe Déliot, Xavier Briottet, Yannick Deville, Shahram Hosseini
Physical modelling and non-linear unmixing method for urban hyperspectral images. WHISPERS (2011)
Ines Meganem, Yannick Deville, Shahram Hosseini, Philippe Déliot, Xavier Briottet, Leonardo Tomazeli Duarte
Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing. EUSIPCO (2011)
Yannick Deville, Shahram Hosseini
Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme. LVA/ICA (2010)
Chahinez Chaouchi, Yannick Deville, Shahram Hosseini
Cumulant-based estimation of quadratic mixture parameters for blind source separation. EUSIPCO (2010)
Hicham Saylani, Shahram Hosseini, Yannick Deville
Blind Separation of Convolutive Mixtures of Non-stationary Sources Using Joint Block Diagonalization in the Frequency Domain. LVA/ICA (2010)
Hicham Saylani, Shahram Hosseini, Yannick Deville
Noisy cyclo-stationary BSS using frequency-domain pseudo-correlation. EUSIPCO (2010)
Zbynek Koldovský, Jirí Málek, Petr Tichavský, Yannick Deville, Shahram Hosseini
Blind separation of piecewise stationary non-Gaussian sources. Signal Process. 89 (12) (2009)
Olivier Berné, Christine Joblin, A. Tielens, Yannick Deville, Matthieu Puigt, Rima Guidara, Shahram Hosseini, Giacomo Mulas, J. Cami
Source separation algorithms for the analysis of hyper-spectral observations of very small interstellar dust particles. WHISPERS (2009)
Rima Guidara, Shahram Hosseini, Yannick Deville
Blind Separation of Nonstationary Markovian Sources Using an Equivariant Newton-Raphson Algorithm. IEEE Signal Process. Lett. 16 (5) (2009)
Rima Guidara, Shahram Hosseini, Yannick Deville
Maximum Likelihood Blind Image Separation Using Nonsymmetrical Half-Plane Markov Random Fields. IEEE Trans. Image Process. 18 (11) (2009)
Yannick Deville, Shahram Hosseini
Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations. Signal Process. 89 (4) (2009)
Shahram Hosseini, Yannick Deville, Hicham Saylani
Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain. Signal Process. 89 (5) (2009)
Moussa Sofiane Karoui, Yannick Deville, Shahram Hosseini, Abdelaziz Ouamri, D. Ducrot
Improvement of remote sensing multispectral image classification by using Independent Component Analysis. WHISPERS (2009)
Hicham Saylani, Shahram Hosseini, Yannick Deville
Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation. ICA (2009)
Johan Thomas, Yannick Deville, Shahram Hosseini
Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification. IEEE Trans. Signal Process. 56 (11) (2008)
Zbynek Koldovský, Jirí Málek, Petr Tichavský, Yannick Deville, Shahram Hosseini
Extension of EFICA algorithm for blind separation of piecewise stationary non Gaussian sources. ICASSP (2008)
Yannick Deville, Shahram Hosseini
Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals. ISSPA (2007)
Yannick Deville, Shahram Hosseini
Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation. ICA (2007)
Rima Guidara, Shahram Hosseini, Yannick Deville
Blind Separation of Non-stationary Images Using Markov Models. ICA (2007)
Johan Thomas, Yannick Deville, Shahram Hosseini
Differential Fast Fixed-Point Algorithms for Underdetermined Instantaneous and Convolutive Partial Blind Source Separation. IEEE Trans. Signal Process. 55 (7-2) (2007)
Rima Guidara, Shahram Hosseini, Yannick Deville
Markovian blind separation of non-stationary temporally correlated sources. ESANN (2007)
Shahram Hosseini, Rima Guidara, Yannick Deville, Christian Jutten
Markovian Blind Image Separation. ICA (2006)
Yannick Deville, Dass Bissessur, Matthieu Puigt, Shahram Hosseini, Hervé Carfantan
A time-scale correlation-based blind separation method applicable to correlated sources. ESANN (2006)
Yannick Deville, Johanna Chappuis, Shahram Hosseini, Johan Thomas
Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures. ICA (2006)
Johan Thomas, Yannick Deville, Shahram Hosseini
Time-domain fast fixed-point algorithms for convolutive ICA. IEEE Signal Process. Lett. 13 (4) (2006)
Shahram Hosseini, Yannick Deville
Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture. ICA (2004)
Shahram Hosseini, Yannick Deville
Blind Separation of Nonstationary Sources by Spectral Decorrelation. ICA (2004)
Christian Jutten, Massoud Babaie-Zadeh, Shahram Hosseini
Three easy ways for separating nonlinear mixtures? Signal Process. 84 (2) (2004)
Anthony Larue, Christian Jutten, Shahram Hosseini
Markovian Source Separation in Post-nonlinear Mixtures. ICA (2004)
Shahram Hosseini, Christian Jutten, Dinh-Tuan Pham
Markovian source separation. IEEE Trans. Signal Process. 51 (12) (2003)
Shahram Hosseini, Christian Jutten, Sylvie Charbonnier
Neural Network Modeling of Ambulatory Systolic Blood Pressure for Hypertension Diagnosis. IWANN (2) (2003)
Shahram Hosseini, Christian Jutten
On the separability of nonlinear mixtures of temporally correlated sources. IEEE Signal Process. Lett. 10 (2) (2003)
Shahram Hosseini, Yannick Deville
Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure. IWANN (2) (2003)
Shahram Hosseini, Christian Jutten
Maximum likelihood neural approximation in presence of additive colored noise. IEEE Trans. Neural Networks 13 (1) (2002)
Shahram Hosseini, Christian Jutten
Spatio-temporal correlated noise in multi-output neural networks. ICASSP (2000)
Shahram Hosseini, Christian Jutten
Weight Freezing in Constructive Neural Networks: A Novel Approach. IWANN (2) (1999)
Shahram Hosseini, Christian Jutten
Colored noise in dynamic systems: unbiased modeling by constructive neural networks. IJCNN (1999)
Shahram Hosseini, Christian Jutten
Improving neural network estimation in presence of non i.i.d. noise. ESANN (1998)
Shahram Hosseini, Christian Jutten
Simultaneous Estimation of Signal and Noise in the Constructive Neural Networks. NC (1998)