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ORCIDShahram Hosseini
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2020 – today
- 2024
[c49]Mostafa Bella
, Shahram Hosseini, Hicham Saylani, Thierry Contini, Tristan Grégoire, Yannick Deville:
Fourier Domain Approach for Galaxy Spectra Decontamination and Deconvolution. ICASSP 2024: 5995-5999- 2023
- [j23]Mostafa Bella, Hicham Saylani, Shahram Hosseini, Yannick Deville:
Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming. IEEE Access 11: 100632-100645 (2023) - 2022
- [j22]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): 833-850 (2022) - [c48]Mostafa Bella, Shahram Hosseini, Hicham Saylani, Thierry Contini, Tristan Grégoire, Andréa Guerrero, Yannick Deville:
Decontamination of galaxy spectra using four dispersion directions. EUSIPCO 2022: 1981-1985 - [c47]Shahram Hosseini, Yannick Deville:
Blind Separation of Linear-Quadratic Mixtures of Mutually Independent and Autocorrelated Sources. ICASSP 2022: 4383-4387 - [c46]Mostafa Bella, Hicham Saylani, Shahram Hosseini, Yannick Deville:
Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation. MMSP 2022: 1-6 - 2020
- [j21]Shahram Hosseini, Ahmed Selloum, Thierry Contini, Yannick Deville:
Separation of galaxy spectra measured with slitless spectroscopy. Digit. Signal Process. 106: 102837 (2020) - [j20]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): 3198 (2020) - [c45]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: 1-5
2010 – 2019
- 2019
- [c44]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: 4245-4249 - 2018
- [j19]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): 1153-1172 (2018) - [c43]Andréa Guerrero, Yannick Deville, Shahram Hosseini:
A Blind Source Separation Method Based on Output Nonlinear Correlation for Bilinear Mixtures. LVA/ICA 2018: 183-192 - [c42]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: 1-5 - 2017
- [c41]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: 483-487 - [c40]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: 1572-1576 - 2016
- [c39]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: 3356-3360 - [c38]Shahram Hosseini, Yannick Deville, Leonardo Tomazeli Duarte, Ahmed Selloum:
Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. MLSP 2016: 1-6 - [c37]Ahmed Selloum, Shahram Hosseini, Yannick Deville, Thierry Contini:
Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra. MLSP 2016: 1-6 - 2015
- [c36]Ahmed Selloum, Shahram Hosseini, Thierry Contini, Yannick Deville:
Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy. EUSIPCO 2015: 1641-1645 - 2014
- [j18]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): 544-558 (2014) - [j17]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): 1822-1833 (2014) - [j16]Shahram Hosseini, Yannick Deville:
Blind Separation of Parametric Nonlinear Mixtures of Possibly Autocorrelated and Non-Stationary Sources. IEEE Trans. Signal Process. 62(24): 6521-6533 (2014) - [c35]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: 423-428 - [c34]Djaouad Benachir, Yannick Deville, Shahram Hosseini:
Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties. ICASSP 2014: 3171-3175 - 2013
- [j15]Shahram Hosseini, Yannick Deville:
Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations. Signal Process. 93(4): 671-683 (2013) - [c33]Ines Meganem, Shahram Hosseini, Yannick Deville:
Positivity-based separation of stellar spectra using a parametric mixing model. EUSIPCO 2013: 1-5 - [c32]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: 1-4 - 2012
- [j14]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): 4263-4278 (2012) - [c31]Shahram Hosseini, Yannick Deville, Sonia El Amine, Hicham Saylani:
Nonlinear Blind Source Separation Applied to a Simple Bijective Model. ICISP 2012: 157-165 - [c30]Hicham Saylani, Shahram Hosseini, Yannick Deville:
Blind Separation of Convolutive Mixtures of Non-stationary and Temporally Uncorrelated Sources Based on Joint Diagonalization. ICISP 2012: 191-199 - [c29]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: 3074-3077 - 2011
- [j13]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): 793-800 (2011) - [c28]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: 1859-1863 - [c27]Ines Meganem, Philippe Déliot, Xavier Briottet, Yannick Deville, Shahram Hosseini:
Physical modelling and non-linear unmixing method for urban hyperspectral images. WHISPERS 2011: 1-4 - [c26]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: 1-4 - 2010
- [c25]Hicham Saylani, Shahram Hosseini, Yannick Deville:
Noisy cyclo-stationary BSS using frequency-domain pseudo-correlation. EUSIPCO 2010: 895-899 - [c24]Chahinez Chaouchi, Yannick Deville, Shahram Hosseini:
Cumulant-based estimation of quadratic mixture parameters for blind source separation. EUSIPCO 2010: 1826-1830 - [c23]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: 97-105 - [c22]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: 237-244
2000 – 2009
- 2009
- [j12]Yannick Deville, Shahram Hosseini:
Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations. Signal Process. 89(4): 378-393 (2009) - [j11]Shahram Hosseini, Yannick Deville, Hicham Saylani:
Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain. Signal Process. 89(5): 819-830 (2009) - [j10]Zbynek Koldovský, Jirí Málek, Petr Tichavský, Yannick Deville, Shahram Hosseini:
Blind separation of piecewise stationary non-Gaussian sources. Signal Process. 89(12): 2570-2584 (2009) - [j9]Rima Guidara, Shahram Hosseini, Yannick Deville:
Blind Separation of Nonstationary Markovian Sources Using an Equivariant Newton-Raphson Algorithm. IEEE Signal Process. Lett. 16(5): 426-429 (2009) - [j8]Rima Guidara, Shahram Hosseini, Yannick Deville:
Maximum Likelihood Blind Image Separation Using Nonsymmetrical Half-Plane Markov Random Fields. IEEE Trans. Image Process. 18(11): 2435-2450 (2009) - [c21]Hicham Saylani, Shahram Hosseini, Yannick Deville:
Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation. ICA 2009: 322-329 - [c20]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: 1-4 - [c19]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: 1-4 - 2008
- [j7]Johan Thomas, Yannick Deville, Shahram Hosseini:
Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification. IEEE Trans. Signal Process. 56(11): 5704-5709 (2008) - [c18]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: 1913-1916 - 2007
- [j6]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): 3717-3729 (2007) - [c17]Rima Guidara, Shahram Hosseini, Yannick Deville:
Markovian blind separation of non-stationary temporally correlated sources. ESANN 2007: 241-246 - [c16]Yannick Deville, Shahram Hosseini:
Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation. ICA 2007: 161-168 - [c15]Rima Guidara, Shahram Hosseini, Yannick Deville:
Blind Separation of Non-stationary Images Using Markov Models. ICA 2007: 722-729 - [c14]Yannick Deville, Shahram Hosseini:
Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals. ISSPA 2007: 1-4 - 2006
- [j5]Johan Thomas, Yannick Deville, Shahram Hosseini:
Time-domain fast fixed-point algorithms for convolutive ICA. IEEE Signal Process. Lett. 13(4): 228-231 (2006) - [c13]Yannick Deville, Dass Bissessur, Matthieu Puigt, Shahram Hosseini, Hervé Carfantan:
A time-scale correlation-based blind separation method applicable to correlated sources. ESANN 2006: 337-344 - [c12]Yannick Deville, Johanna Chappuis, Shahram Hosseini, Johan Thomas:
Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures. ICA 2006: 48-56 - [c11]Shahram Hosseini, Rima Guidara, Yannick Deville, Christian Jutten:
Markovian Blind Image Separation. ICA 2006: 106-114 - 2004
- [j4]Christian Jutten, Massoud Babaie-Zadeh, Shahram Hosseini:
Three easy ways for separating nonlinear mixtures? Signal Process. 84(2): 217-229 (2004) - [c10]Shahram Hosseini, Yannick Deville:
Blind Separation of Nonstationary Sources by Spectral Decorrelation. ICA 2004: 279-286 - [c9]Shahram Hosseini, Yannick Deville:
Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture. ICA 2004: 694-701 - [c8]Anthony Larue, Christian Jutten, Shahram Hosseini:
Markovian Source Separation in Post-nonlinear Mixtures. ICA 2004: 702-709 - 2003
- [j3]Shahram Hosseini, Christian Jutten:
On the separability of nonlinear mixtures of temporally correlated sources. IEEE Signal Process. Lett. 10(2): 43-46 (2003) - [j2]Shahram Hosseini, Christian Jutten, Dinh-Tuan Pham:
Markovian source separation. IEEE Trans. Signal Process. 51(12): 3009-3019 (2003) - [c7]Shahram Hosseini, Yannick Deville:
Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure. IWANN (2) 2003: 241-248 - [c6]Shahram Hosseini, Christian Jutten, Sylvie Charbonnier:
Neural Network Modeling of Ambulatory Systolic Blood Pressure for Hypertension Diagnosis. IWANN (2) 2003: 599-606 - 2002
- [j1]Shahram Hosseini, Christian Jutten:
Maximum likelihood neural approximation in presence of additive colored noise. IEEE Trans. Neural Networks 13(1): 117-131 (2002) - 2000
- [c5]Shahram Hosseini, Christian Jutten:
Spatio-temporal correlated noise in multi-output neural networks. ICASSP 2000: 3402-3405
1990 – 1999
- 1999
- [c4]Shahram Hosseini, Christian Jutten:
Colored noise in dynamic systems: unbiased modeling by constructive neural networks. IJCNN 1999: 2629-2632 - [c3]Shahram Hosseini, Christian Jutten:
Weight Freezing in Constructive Neural Networks: A Novel Approach. IWANN (2) 1999: 11-20 - 1998
- [c2]Shahram Hosseini, Christian Jutten:
Improving neural network estimation in presence of non i.i.d. noise. ESANN 1998: 327-332 - [c1]Shahram Hosseini, Christian Jutten:
Simultaneous Estimation of Signal and Noise in the Constructive Neural Networks. NC 1998: 412-418
Coauthor Index
[c49] [j23] [c48] [c47] [c46] [j21] [j20] [c45] [c44] [j19] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [j18] [j17] [j16] [c35] [c34] [j15] [c33] [c32] [j14] [c31] [c30] [c29] [j13] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [j12] [j11] [j10] [j9] [j8] [c21] [c20] [c19] [j7] [c18] [j6] [c17] [c16] [c15] [c14] [j5] [c13] [c12] [c11] [c10] [c9] [c7]
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