Publications (last update: October 2023)

 

 

International journals

  1. M. Bella, H. Saylani, S. Hosseini, Y. Deville, Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming, IEEE Access, vol. 11, October 2023.
  2. S. Esmaeiloghli, S. H. Tabatabaei, S. Hosseini, Y. Deville, E. J. M. Carranza, Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns, Mathematical Geosciences (Springer), October 2023.
  3. S. Esmaeiloghli, S. H. Tabatabaei, E. J. M. Carranza, S. Hosseini, Y. Deville, Spatially-Weighted Factor Analysis for Extraction of Source-Oriented Mineralization Feature in 3D Coordinates of Surface Geochemical Signal, Natural Resources Research (Springer), vol. 30, pp. 3925-3953, August 2021.
  4. S. Hosseini, A. Selloum, T. Contini, Y. Deville, Separation of galaxy spectra measured with slitless spectroscopy, Digital Signal Processing (Elsevier), vol. 106, November 2020.
  5. D. Benachir, Y. Deville, S. Hosseini, M. S. Karoui, Blind unmixing of hyperspectral remote sensing data: a new geometrical method based on a two-source sparsity constraint, Remote Sensing (MDPI), vol. 12, issue 19, September 2020.
  6.  L. Jarboui, Y. Deville, S. Hosseini, R. Guidara, A. Ben Hamida, L. T. Duarte, A second-order blind source separation method for bilinear mixtures, Multidimensional Systems and Signal Processing (Springer), vol. 29, pp. 1153-1172, July 2018.
  7. S. Hosseini, Y. Deville, “Blind separation of parametric nonlinear mixtures of possibly autocorrelated and non-stationary sources”, IEEE Transactions on Signal Processing, vol. 62, no. 24, pp. 6521-6533, December 2014. (pdf)
  8. I. Meganem, Y. Deville, S. Hosseini, P. Déliot, X. Briottet, “Linear-quadratic blind source separation using NMF to unmix urban hyperspectral images”, IEEE Transactions on Signal Processing, vol. 62, no. 7, pp. 1822-1833, April 2014. (pdf)
  9. I. Meganem, P. Déliot, X. Briottet, Y. Deville, S. Hosseini, “Linear-quadratic mixing model for reflectances in urban environments”, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 544-558, January 2014. (pdf)
  10. S. Hosseini, Y. Deville, “Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations”, Signal Processing, vol. 93, Issue 4, pp. 671-683, April 2013. (Elsevier on-line version),  (authors’ final version)
  11. S. Karoui, Y. Deville, S. Hosseini, A. Ouamri, “Blind spatial unmixing of multispectral images : New methods combining sparse component analysis, clustering and non-negativity constraints”, Pattern Recognition, vol. 45, Issue 12, pp. 4263-4278, December 2012. (Elsevier on-line version)
  12. Y. Deville, S. Hosseini, A. Deville, « Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures », Signal Processing, vol. 91, no. 4, pp. 793-800, April 2011. (Elsevier on-line version) 
  13. R. Guidara, S. Hosseini, Y. Deville, « Maximum likelihood blind image separation using non-symmetrical half-plane Markov random fields », IEEE Transactions on Image Processing, vol.18, no.11, pp. 2435-2450, November 2009, (pdf).
  14. Z. Koldovsky, J. Malek, P. Tichavsky, Y. Deville, S. Hosseini, « Blind separation of piecewise stationary nonGaussian sources », Signal Processing, vol. 89, no. 12, pp. 2570-2584, Dec. 2009. (Elsevier on-line version) 
  15. R. Guidara, S. Hosseini, Y. Deville, « Blind Separation of Non-stationary Markovian Sources Using an Equivariant Newton-Raphson Algorithm », IEEE Signal Processing Letters, vol. 16, no. 5, pp. 426-429, May 2009 (pdf).
  16. S. Hosseini, Y. deville, H. Saylani, “Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain », Signal Processing, vol. 89, no. 5, pp. 819-830, May 2009. (Elsevier on-line version), (authors’ final version)
  17. Y. Deville, S. Hosseini, “Recurrent networks for separating extractable-target nonlinear mixtures. Part I: non-blind configurations »,  Signal Processing, vol. 89, no. 4, pp. 378-393, April 2009. (Elsevier on-line version), (authors’ final version)
  18. J. Thomas, Y. Deville, S. Hosseini,, "Fast blind separation of long mixture recordings using multivariate polynomial identification", IEEE Transactions on Signal Processing, vol. 56, no. 11, pp. 5704-5709, November 2008. (pdf)
  19. J. Thomas, Y. Deville, S. Hosseini, « Differential fast fixed-point algorithms for underdetermined instantaneous and convolutive blind source separation », IEEE Transactions on Signal Processing, vol. 55, no.7, pp. 3717-3729, July 2007. (pdf)
  20. H. Saylani, S. Hosseini, Y. Deville, M. Habibi, "Système d'identification radio-fréquence multi-badge utilisant de nouvelles méthodes de séparation aveugle de sources à décorrélation spectrale" (in French),  Physical and Chemical News, vol. 35, pp 31-42, May 2007. (pdf)
  21. J. Thomas, Y. Deville, S. Hosseini, "Time-domain fast fixed-point algorithms for convolutive ICA",  IEEE Signal Processing Letters, vol. 13, no. 4, pp. 228-231, April 2006. (pdf)
  22. C. Jutten, M. Babaie-Zadeh, S. Hosseini, "Three easy ways for separating nonlinear mixtures?", Signal Processing, vol.84, no. 2, pp 217-229, February 2004. (pdf)
  23. S. Hosseini, C. Jutten, D. T. Pham, "Markovian source separation", IEEE Transactions on Signal Processing, vol.51, no. 12, pp. 3009-3019, December 2003. (pdf)
  24. S. Hosseini, C. Jutten, "On the separability of nonlinear mixtures of temporally correlated sources", IEEE Signal Processing Letters, vol. 10, no. 2, pp. 43-46, February 2003. (pdf)
  25. S. Hosseini, C. Jutten, "Maximum likelihood neural approximation in presence of additive colored noise", IEEE Transactions on Neural Networks, vol. 13, no. 1, pp. 117-131, January 2002. (pdf).

Books and book chapters

  1. Y. Deville, L. T. Duarte, S. Hosseini, Nonlinear blind source separation and blind mixture identification. Methods for bilinear, linear-quadratic and polynomial mixtures, Springer Briefs in Electrical and Computer Engineering, Springer Nature, 2021.
  2. I. Meganem, S. Hosseini, Y. Deville, Chapter 6. Separation of stellar spectra based on non-negativity and parametric modelling of mixing operator, pp. 133-159, in "Non-negative matrix factorization techniques: Advances in theory and applications", ISBN 978-3-662-48330-5, G. R. Naik Ed, Springer-Verlag, Berlin Heidelberg, 2016.
  3. M. S. Karoui, Y. Deville, S. Hosseini, A. Ouamri, Chapter 8. Blind unmixing of hyperspectral data with some pure pixels : spatial variance-based methods exploiting sparsity and non-negativity properties, pp. 161-182, in "Signal Processing : New Research", ISBN : 978-1-62808-141-1, G. R. Naik Ed, Nova Science Publishers, New York, USA, 2013.

            Communications in conferences with proceedings

  1. M. Bella, S. Hosseini, H. Saylani, T. Contini, T. Grégoire, A. Guerrero, Y. Deville, Decontamination of galaxy spectra using four dispersion directions, 30th European Signal Processing Conference (EUSIPCO 2022), Belgrade, Serbia, September 2022.
  2. M. Bella, H. Saylani, S. Hosseini, Y. Deville, Underdetermined convolutive blind source separation combining time-frequency masking and beamforming, International IEEE Workshop on Multimedia Signal Processing (MMSP 2022), Shanghai, China, September 2022.
  3. M. Bella, S. Hosseini, H. Saylani, T. Contini, T. Grégoire, A. Guerrero, Y. Deville, Décontamination des spectres de galaxies en exploitant quatre directions de dispersion, Proceedings of GRETSI 2022, Nancy, France, Sep. 2022.
  4. M. Bella, H. Saylani, S. Hosseini, Y. Deville, Séparation de Sources en Mélanges Convolutifs Sous-déterminés Combinant Masquage et formation de voie, Proceedings of GRETSI 2022, Nancy, France, Sep. 2022.
  5. S. Hosseini, Y. Deville, Blind separation of linear-quadratic mixtures of mutually independent and autocorrelated sources, 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022.
  6. Y. Deville, S. Hosseini, Blind source separation methods based on output nonlinear correlation for bilinear mixtures of an arbitrary number of possibly correlated signals, Proceedings of the Eleventh IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2020), Hangzhou, China, June 8-11, 2020.
  7. A. Guerrero, S. Hosseini, Y. Deville, T. Contini, T. Grégoire, Séparation de spectres de galaxies basée sur la fusion de données de deux ordres de grisme en spectroscopie sans fente, Proceedings of GRETSI 2019, Lille, France, Aug. 26-29, 2019.
  8. A. Guerrero, S. Hosseini, Y. Deville, T. Contini, T. Grégoire, A new separation method for galaxy spectra based on data fusion between two grism orders in slitless spectroscopy, 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019.
  9. S. Esmaeiloghli, S. H. Tabatabaei, S. Hosseini, Y. Deville, Contribution of deflation-based FastICA to the separation of geochemical signals in the field of mining geochemistry: A case study on the Kuh Panj porphyry system, 2nd TRIGGER international conference, Téhéran, Iran, November 2018.
  10. Y. K. Benkouider, F. Z. Benhalouche, M. S. Karoui, Y. Deville, S. Hosseini, Bilinear matrix factorization using a gradient method for unmixing hyperspectral images combined with multispectral data, Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Amsterdam, The Netherlands, Sept. 23-26, 2018.
  11. A. Guerrero, Y. Deville, S. Hosseini, A blind source separation method based on output nonlinear correlation for bilinear mixtures, 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018), pp. 183-192, Guildford, UK, July 2018.
  12. Y. K. Benkouider, M. S. Karoui, Y. Deville, S. Hosseini, A New Multiplicative Nonnegative Matrix Factorization Method for Unmixing Hyperspectral Images Combined with Multispectral Data, 25th European Signal Processing Conference (EUSIPCO), Kos Island, Greece, August 2017.
  13. M. S. Karoui, S. Hosseini, Y. Deville, A. Ouamri, I. Meganem, Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectal images combined with multispectral data, 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans,USA, Mars 2017.
  14. S. Hosseini, Y. Deville, L. T. Duarte, A. Selloum, Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources, 26th IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Vietri sul Mare, Salerno, Italy, September 2016.
  15. A. Selloum, S. Hosseini, Y. Deville, T. Contini, Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra, 26th IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Vietri sul Mare, Salerno, Italy, September 2016.
  16. L. Jarboui, S. Hosseini, R. Guidara, Y. Deville, A. Ben Hamida, A MAP-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model, 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Changhai, China, Mars 2016.
  17. A. Selloum, S. Hosseini, T. Contini, Y. Deville, Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy, 23rd European Signal Processing Conference (EUSIPCO), pp. 1671-1675, Nice, France, September 2015.
  18. L. Jarboui, R. Guidara, S. Hosseini,Y. Deville, A. Ben Hamida, , Séparation aveugle des mélanges linéaires-quadratiques pour les images hyperspectrales urbaines, neuvième édition des ateliers de travail sur le traitement et l'analyse de l'information (TAIMA), Hammamet, Tunisie, Mai 2015.
  19. D. Benachir, Y. Deville, S. Hosseini, "Blind spatial unmixing of multispectral images : an approach based on two-source sparsity and geometrical properties", ICASSP 2014, pp. 3195-3199, Florence, Italy, May 4-9, 2014.
  20. L. Jarboui, S. Hosseini, Y. Deville, R. Guidara, A. Ben Hamida, "A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model", ATSIP 2014, pp. 423-428, Sousse, Tunisia, March 17-19, 2014.
  21. I. Meganem, S. Hosseini, Y. Deville, "Positivity-based separation of stellar spectra using a parametric mixing model", EUSIPCO 2013, Marrakech, Morocco, Sept. 9-13, 2013.
  22. D. Benachir, S. Hosseini, Y. Deville, M. S. Karoui, A. Hameurlain, "Modified Independent Component Analysis for Initializing Non-negative Matrix Factorization : An approach to Hyperspectral Image Unmixing", ECMSM 2013, Toulouse, France, June 24-26, 2013.
  23. D. Benachir, Y. Deville, S. Hosseini, M. S. Karoui, A. Hameurlain, "Hyperspectral image unmixing by non-negative matrix factorization initialized with modified independent component analysis", WHISPERS 2013, Gainesville, Florida, USA, 25-28 June 2013.
  24. M. S. Karoui, Y. Deville, S. Hosseini, A. Ouamri, "Blind unmixing of remote sensing data with some pure pixels : extension and comparison of spatial methods exploiting sparsity and nonnegativity properties", WOSSPA 2013, Mazafran, Algiers, Algeria, May 12-15, 2013.
  25. S. Hosseini, Y. Deville, S. El Amine, H. Saylani, "Nonlinear blind source separation applied to a simple bijective model", ICISP’2012, pp. 157-165, Agadir, Morocco, June 28-30, 2012.
  26. H. Saylani, S. Hosseini, Y. Deville, "Blind separation of convolutive mixtures of non-stationary and temporally uncorrelated sources based on joint diagonalization", ICISP’2012, pp. 191-199, Agadir, Morocco, June 28-30, 2012.
  27. M. S. Karoui, Y. Deville, S. Hosseini, A. Ouamri, "A new spatial sparsity-based method for extracting endmember spectra from hyperspectral data with some pure pixels", IGARSS’2012, pp. 3074-3077, Munich, Germany, July 22-27, 2012.
  28. I. Meganem, Y. Deville, S. Hosseini, P. Déliot, X. Briottet, L. T. Duarte, "Linear-quadratic and polynomial Non-negative Matrix Factorization ; application to spectral unmixing", EUSIPCO’2011, Barcelona, Spain, Aug. 29- Sept. 2, 2011.
  29. I. Meganem, Y. Deville, S. Hosseini, P. Déliot, X. Briottet, L. T. Duarte, "Méthode de Factorisation en Matrices Non négatives pour des mélanges linéaires quadratiques", GRETSI’2011, Bordeaux, France, Sept. 5-8, 2011.
  30. I. Meganem, P. Déliot, X. Briottet, Y. Deville, S. Hosseini, "Physical modelling and non-linear unmixing method for urban hyperspectral images", WHISPERS’2011, Lisbon, Portugal, June 6-9, 2011.
  31. I. Meganem, Y. Deville, S. Hosseini, H. Carfantan, M. S. Karoui, "Extraction of stellar spectra from dense fields in hyperspectral MUSE data cubes using non-negative matrix factorization", WHISPERS’2011, Lisbon, Portugal, June 6-9, 2011.
  32. M. S. Karoui, Y. Deville, S. Hosseini, A. Ouamri, "Spatial sparsity-based blind source separation method including non-negative matrix factorization for multispectral image unmixing" (invited paper), ECMS’2011, ISBN : 978-1-61284-395-7, IEEE Catalog Number : CFP11CMS -CDR, pp. 14-19, Liberec, Czech Republic, June 1-3, 2011.
  33. Y. Deville, S. Hosseini, "Blind operation of a recurrent neural network for linear-quadratic source separation : fixed points, stabilization and adaptation scheme", LVA/ICA’2010, pp. 237-244, Springer-Verlag Berlin Heidelberg, vol. LNCS 6365, St. Malo, France, Sept. 27-30, 2010.
  34. H. Saylani, S. Hosseini, Y. Deville, "Blind separation of convolutive mixtures of non-stationary sources using joint block diagonalization in the frequency domain", LVA/ICA’2010, pp. 97-105, Springer-Verlag Berlin Heidelberg, vol. LNCS 6365, St. Malo, France, Sept. 27-30, 2010.
  35. S. Chaouchi, Y. Deville, S. Hosseini, "Cumulant-based estimation of quadratic mixture parameters for blind source separation", EUSIPCO’2010, pp. 1826-1830, Aalborg, Denmark, Aug. 23-27, 2010.
  36. H. Saylani, S. Hosseini, Y. Deville, "Noisy cyclo-stationary BSS using frequency-domain pseudo-correlation”, EUSIPCO 2010, pp. 895-899, Aalborg, Denmark, Aug. 23-27, 2010.
  37. S. Chaouchi, Y. Deville, S. Hosseini, "Nonlinear source separation : a maximum likelihood approach for quadratic mixtures", MaxEnt’2010, Chamonix, France, July 4-9, 2010.
  38. M. S. Karoui, A. Ouamri, Y. Deville, S. Hosseini, "Processing of hyperspectral remote sensing data by blind source separation methods : feasibility", ISSSPA’2009 + WSIP’2009, Oran, Algeria, Oct. 4-8, 2009.
  39. O. Berné, C. Joblin, A. Tielens, Y. Deville, M. Puigt, R. Guidara, S. Hosseini, G. Mulas, J. Cami, "Source separation algorithms for the analysis of hyper-spectral observations of very small interstellar dust particles”, WHISPERS ’09, Grenoble, France, Aug. 26-28, 2009.
  40. S. Karoui, Y. Deville, S. Hosseini, A. Ouamri, « Improvement of remote sensing multispectral image classification by using independent componenet analysis », WHISPERS’2009, Grenoble, France, Aug. 26-28, 2009.
  41. C. Chaouchi, Y. Deville, S. Hosseini, « Une structure récurrente pour la séparation de mélanges quadratiques »,  GRETSI’2009, Dijon, France, Sept 8-11, 2009.
  42. C. Chaouchi, Y. Deville, S. Hosseini, « Nonlinear Source Separation: a Quadratic Recurrent Inversion Structure », ECMS’2009, pp. 91-98, Arrasate-Mondragon, Spain, July 8-10, 2009.
  43. M. Puigt, O. Berné, R. Guidara, Y.Deville, S. Hosseini, C. Joblin, « Cross-Validation of Blindly Separated Interstellar Dust Spectra », ECMS’2009, pp. 41-48, Arrasate-Mondragon, Spain, July 8-10, 2009.
  44. H. Saylani, S. Hosseini, Y. Deville, « Blind separation of noisy mixtures of non-stationary sources using spectral decorrelation », Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009), pp. 322-329, Springer-Verlag Berlin Heidelberg, vol. LNCS 5441, Paraty, Brazil, March 15-18, 2009..
  45. M. S. Karoui, Y. Deville, S. Hosseini, A. Ouamri, D. Ducrot, « Contribution of non-negative matrix factorization to the classification of remote sensing images », Proceedings of the SPIE Europe Remote Sensing Conference 2008 : Image and Signal Processing for Remote Sensing XIV, SPIE vol. 7109 71090X, Cardiff, UK, Sept. 15-18, 2008.
  46. Z. Koldovsky, J. Malek, P. Tichavsky, Y. Deville, S. Hosseini, "Extension of EFICA algorithm for blind separation of piecewise stationary non Gaussian sources", Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), pp. 1913-1916, Las Vegas, Nevada, USA, March 30 - April 4, 2008.
  47. R. Guidara, S. Hosseini, Y. Deville, “Blind Separation of Non-stationary Images using Markov Models », Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation (ICA 2007), pp. 722-729, ISSN 0302-9743, Springer-Verlag, vol. LNCS 4666, London, UK, September 9-12, 2007.
  48. Y. Deville, S. Hosseini, “Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation », Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation (ICA 2007), pp. 161-168, ISSN 0302-9743, Springer-Verlag, vol. LNCS 4666, London, UK, September 9-12, 2007.
  49. H. Saylani, S. Hosseini, Y. Deville, M. Habibi, "Une nouvelle approche fréquentielle pour la séparation aveugle de signaux non-stationnaires et autocorrélés", Proceedings of GRETSI 2007, pp. 1297-1300, Troyes, France, Sept. 11-14, 2007.
  50. R. Guidara, S. Hosseini, Y. Deville, "Séparation aveugle de sources markoviennes et non-stationnaires", Proceedings of GRETSI 2007, pp. 1001-1004, Troyes, France, Sept. 11-14, 2007.
  51. J. Thomas, Y. Deville, S. Hosseini, "Un algorithme rapide à identification polynômiale multivariable pour la séparation aveugle d’images", Proceedings of GRETSI 2007, pp. 997-1000, Troyes, France, Sept. 11-14, 2007. (pdf)
  52. J. Thomas, Y. Deville, S. Hosseini, « Multivariate polynomial identification for blind image separation », Proceedings of the 8th International Worshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2007), ISBN 978-80-7372-218-0, pp. 97-102, Liberec, Czech Republic, May 21-23, 2007. (pdf)
  53. J. Málek, Z. Koldovský, S. Hosseini, Y. Deville, « A Variant of Algorithm EFICA with Adaptive Parametric Density Estimator“, Proceedings of the 8th International Worshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2007), ISBN 978-80-7372-218-0, pp. 79-84, Liberec, Czech Republic, May 21-23, 2007.
  54. R. Guidara, S. Hosseini, Y. Deville, “Markovian blind separation of non-stationary temporally correlated sources”, Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN’2007), Bruges, Belgium, April 25-27, 2007. (pdf)
  55. Y. Deville, S. Hosseini, « Blind identification and separation methods for linear-quadratic mixtures and/or linearly independent non-stationary signals », Proceedings of the 9th International Symposium on Signal Processing and its Applications (ISSPA 2007), IEEE Catalog Number 07EX1580C, ISBN 1-4244-0779-6, Sharjah, United Arab Emirates, Feb, 12-15, 2007. (pdf)
  56. S. Hosseini, R. Guidara, Y. Deville, C. Jutten, "Maximum likelihood separation of spatially autocorrelated images using a Markov model", Proceedings of the 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2006), pp. 105-112, Paris, France, July 8-13, 2006. (pdf)
  57. Y. Deville, D. Bissessur, M. Puigt, S. Hosseini, H. Carfantan, "A time-scale correlation-based blind separation method applicable to correlated sources", Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN’2006), Bruges, Belgium, April 26-28, 2006.
  58. H. Saylani, Y. Deville, S. Hosseini, M. Habibi, “A Multi-tag radio-frequency identification system using a new blind source separation method based on spectral decorrelation”, Proceedings of the Second International Symposium on Communications, Control and Signal Processing (ISCCSP 2006), ISBN 2-908848-17-8, Marrakech, Morocco, March, 13-15, 2006. (pdf)
  59. S. Hosseini, R. Guidara, Y. Deville, C. Jutten, "Markovian Image separation", Proceedings of the Sixth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2006), pp. 106-114, Springer-Verlag, vol. LNCS 3889, Charleston, SC, USA, March 5-8, 2006.  (pdf)
  60. Y. Deville, J. Chappuis, S. Hosseini, J. Thomas, "Differential fast fixed-point BSS for underdetermined linear instantaneous mixtures", Proceedings of the Sixth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2006), pp. 48-56, Springer-Verlag, vol. LNCS 3889, Charleston, SC, USA, March 5-8, 2006.  (pdf)
  61. J. Thomas, Y. Deville, S. Hosseini, "Fixed-point algorithms for convolutive blind source separation based on non-gaussianity maximization", Proceedings of the 7th International Workshop on Electronics, Control, Modelling, Measurement and Signals, ECMS'05, Toulouse, France, May 2005.  (pdf)
  62. S. Hosseini, Y. Deville, H. Saylani, "From time-domain separation of stationary temporally correlated sources to frequency-domain separation of nonstationary sources", in Proc. 4th Int. Conf. on Physics in Signal and Image Processing, PSIP'05, pp. 55-59, Toulouse, France, January 2005. (pdf)
  63. S. Hosseini, Y. Deville, "Blind separation of non stationary sources by spectral decorrelation", in Proc. 5th Int. Conf. on Independent Component Analysis and blind signal separation, ICA'04, pp. 279-286, Granada, Spain, September 2004. (pdf)
  64. S. Hosseini, Y. Deville, "Blind maximum likelihood separation of a linear-quadratic mixture", in Proc. 5th Int. Conf. on Independent Component Analysis and blind signal separation, ICA'04, pp. 694-701, Granada, Spain, September 2004. (pdf)
  65. A. Larue, C. Jutten, S. Hosseini, "Markovian source separation in post-nonlinear mixtures",  in Proc. 5th Int. Conf. on Independent Component Analysis and blind signal separation, ICA'04, pp. 702-709, Granada, Spain, September 2004. (pdf)
  66. S. Hosseini, Y. Deville, "Blind separation of linear-quadratic mixtures of real sources using a recurrent structure", in Proc. 7th Int. Work-Conf. Artificial Neural Networks, IWANN'03, vol. 2, pp. 241-248, Mao, Menorca, Spain, June 2003. (postscript)
  67. S. Hosseini, C. Jutten, S. Charbonnier, "Neural network modeling of ambulatory systolic blood pressure for hypertension diagnosis", in Proc. 7th Int. Work-Conf. Artificial Neural Networks, IWANN'03, vol. 2, pp. 599-606, Mao, Menorca, Spain, June 2003. (postscript)
  68. C. Jutten, M. Babaei-Zadeh, S. Hosseini, "On blind methods in signal processing", in Proc. IV International workshop on computational problems of electrical engineering, pp. 1-12, Zakopane, Poland, September 2002.
  69. J. Comabella López, J. Solé i Casals, S. Hosseini, C. Jutten, "Web didáctica para la approximación de fonciones mediante redes neuronales" (in Spanish), XVII Simposium nacional de la unión científica internacioanl de radio, September 2002, Madrid, Spain. (pdf)
  70. S. Hosseini, C. Jutten and D. T. Pham, "Blind separation of temporally correlated sources using a quasi maximum likelihood approach", in Proc. 3rd Int. Conf. on Independent Component Analysis and blind signal separation,  ICA'01, pp. 586-590, San Diego, USA, Decembre 2001. (pdf)
  71. S. Hosseini, C. Jutten, D. T. Pham and B. Stoll, "Séparation aveugle de sources temporellement corrélées par l'approche de maximum de vraisemblance" (in French), GRETSI'01, Toulouse, France, September 2001. (pdf)
  72. S. Hosseini, C. Jutten, "Spatio-temporal correlated noise in multi-output neural networks", IEEE Int. Conf. on Acoustic Speech and Signal Processing, ICASSP'2000, vol. VI, pp. 3402-3405, Istanbul, Turkey, June 2000. (postscript)
  73. S. Hosseini, C. Jutten, "Colored noise in dynamic systems: unbiased modeling by constructive neural networks", in Proc. IEEE Joint Conf. on Neural Networks, IJCNN'99, Washington DC, USA, July 1999. (postscript)
  74. S. Hosseini, C. Jutten, "Weight freezing in constructive neural networks: a novel approach", in Proc. Int. Work-Conf. Artificial Neural Networks, IWANN'99, vol. 2, pp. 12-21, Alicante, Spain, June 1999. (postscript/zip)
  75. S. Hosseini, C. Jutten, "Simultaneous estimation of signal and noise in constructive neural networks", in Proc. Int. ICSC/IFAC Symp. Neural Computations, NC'98, pp. 412-417, Vienna, Austria, September1998. (postscript)
  76. S. Hosseini, C. Jutten, "Improving neural network estimation in presence of non i.i.d. noise", in Proc. European Symp. Artificial Neural Networks, ESANN'98, pp. 327-332, Bruges, Belgium, April 1998. (postscript) 
  77. S. Hosseini, M.R. Nakhai, M. Tabiani, "A neural network based voiced/unvoiced detector" (in Persian), in Proc. Iranian Conf. Electrical Engineering, ICEE'94, Tehran, Iran, 1994.
  78. S. Hosseini, M.R. Nakhai, M. Tabiani, "Real time implementation of homomorphic vocoder" (in Persian), in Proc. Iranian Conf. Electrical Engineering, ICEE'93, Tehran, Iran, 1993.
  79. S. Hosseini, M.R. Nakhai, M. Tabiani, "Real time implementation of homomorphic vocoder using TMS320C30", in Proc. Int. Conf. on Signal Processing Applications & Technology, ICSPAT'93, Santa-Clara, USA, 1993.

 

          Communications in conferences without proceedings

  1. A. Guerrero, S. Hosseini, Y. Deville, T. Contini, T. Grégoire, Séparation de spectres de galaxies fondée sur la fusion de données, 7ème colloque scientifique SFPT-Groupe Hyperspectral (SFPT-GH- 2019), Toulouse, France, 2019.
  2. A. Guerrero, Y. Deville, S. Hosseini, Une méthode de démélange non supervisé basée sur la corrélation non linéaire des sorties pour des mélanges bilinéaires: applications aux milieux urbains, 6ème colloque scientifique SFPT-Groupe Hyperspectral (SFPT-GH- 2018), Montpellier, France, 2018. 
  3. L. Jarboui, S. Hosseini, Y. Deville, R. Guidara, and A. Ben Hamida, Méthodes avancées de séparation de sources : Application en imagerie spectrale, Spring school on Advanced Technologies for signal and Image Processing (ATSIP), Monastir, Tunisia, 21-24 March 2015.
  4. C. Jutten, S. Hosseini, M. Babie-Zadeh, "Three easy ways for making possible separability of nonlinear mixtures", NIPS'2002, Whistler ski resort, Canada, December 2002.
  5. S. Hosseini, "Separation of markovian sources", European meeting on independent component analysis, Vietri sul mare, Italy, February 2002.