Shahram Hosseini

72 papers B 4C 4Misc 9Journal 23Unranked 32

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