Shahram Hosseini

	2011
28		Yannick Deville, Shahram Hosseini, Alain Deville: Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures. Signal Processing 91(4): 793-800 (2011)
	2010
27		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
26		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
	2009
25		Hicham Saylani, Shahram Hosseini, Yannick Deville: Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation. ICA 2009: 322-329
24		Rima Guidara, Shahram Hosseini, Yannick Deville: Maximum Likelihood Blind Image Separation Using Nonsymmetrical Half-Plane Markov Random Fields. IEEE Transactions on Image Processing 18(11): 2435-2450 (2009)
23		Zbynek Koldovský, Jirí Málek, Petr Tichavský, Yannick Deville, Shahram Hosseini: Blind separation of piecewise stationary non-Gaussian sources. Signal Processing 89(12): 2570-2584 (2009)
22		Yannick Deville, Shahram Hosseini: Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations. Signal Processing 89(4): 378-393 (2009)
21		Shahram Hosseini, Yannick Deville, Hicham Saylani: Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain. Signal Processing 89(5): 819-830 (2009)
	2008
20		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
19		Johan Thomas, Yannick Deville, Shahram Hosseini: Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification. IEEE Transactions on Signal Processing 56(11): 5704-5709 (2008)
	2007
18		Rima Guidara, Shahram Hosseini, Yannick Deville: Markovian blind separation of non-stationary temporally correlated sources. ESANN 2007: 241-246
17		Yannick Deville, Shahram Hosseini: Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation. ICA 2007: 161-168
16		Rima Guidara, Shahram Hosseini, Yannick Deville: Blind Separation of Non-stationary Images Using Markov Models. ICA 2007: 722-729
15		Johan Thomas, Yannick Deville, Shahram Hosseini: Differential Fast Fixed-Point Algorithms for Underdetermined Instantaneous and Convolutive Partial Blind Source Separation. IEEE Transactions on Signal Processing 55(7-2): 3717-3729 (2007)
	2006
14		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
13		Shahram Hosseini, Rima Guidara, Yannick Deville, Christian Jutten: Markovian Blind Image Separation. ICA 2006: 106-114
12		Yannick Deville, Johanna Chappuis, Shahram Hosseini, Johan Thomas: Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures. ICA 2006: 48-56
	2004
11		Shahram Hosseini, Yannick Deville: Blind Separation of Nonstationary Sources by Spectral Decorrelation. ICA 2004: 279-286
10		Shahram Hosseini, Yannick Deville: Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture. ICA 2004: 694-701
9		Anthony Larue, Christian Jutten, Shahram Hosseini: Markovian Source Separation in Post-nonlinear Mixtures. ICA 2004: 702-709
8		Christian Jutten, Massoud Babaie-Zadeh, Shahram Hosseini: Three easy ways for separating nonlinear mixtures? Signal Processing 84(2): 217-229 (2004)
	2003
7		Shahram Hosseini, Yannick Deville: Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure. IWANN (2) 2003: 241-248
6		Shahram Hosseini, Christian Jutten, Sylvie Charbonnier: Neural Network Modeling of Ambulatory Systolic Blood Pressure for Hypertension Diagnosis. IWANN (2) 2003: 599-606
5		Shahram Hosseini, Christian Jutten, Dinh-Tuan Pham: Markovian source separation. IEEE Transactions on Signal Processing 51(12): 3009-3019 (2003)
	2002
4		Shahram Hosseini, Christian Jutten: Maximum likelihood neural approximation in presence of additive colored noise. IEEE Transactions on Neural Networks 13(1): 117-131 (2002)
	1999
3		Shahram Hosseini, Christian Jutten: Weight Freezing in Constructive Neural Networks: A Novel Approach. IWANN (2) 1999: 11-20
	1998
2		Shahram Hosseini, Christian Jutten: Improving neural network estimation in presence of non i.i.d. noise. ESANN 1998: 327-332
1		Shahram Hosseini, Christian Jutten: Simultaneous Estimation of Signal and Noise in the Constructive Neural Networks. NC 1998: 412-418

Coauthor Index

1	Massoud Babaie-Zadeh	[8]
2	Dass Bissessur	[14]
3	Hervé Carfantan	[14]
4	Johanna Chappuis	[12]
5	Sylvie Charbonnier	[6]
6	Alain Deville	[28]
7	Yannick Deville	[7] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28]
8	Rima Guidara	[13] [16] [18] [24]
9	Christian Jutten	[1] [2] [3] [4] [5] [6] [8] [9] [13]
10	Zbynek Koldovský	[20] [23]
11	Anthony Larue	[9]
12	Jirí Málek	[20] [23]
13	Dinh-Tuan Pham (Antoine Dinh-Tuan Pham)	[5]
14	Matthieu Puigt	[14]
15	Hicham Saylani	[21] [25] [26]
16	Johan Thomas	[12] [15] [19]
17	Petr Tichavský	[20] [23]

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