| 2024 | ICASSP | Fourier Domain Approach for Galaxy Spectra Decontamination and Deconvolution. | Mostafa Bella, Shahram Hosseini, Hicham Saylani, Thierry Contini, Tristan Grgoire, Yannick Deville |
| 2022 | ICASSP | Blind Separation of Linear-Quadratic Mixtures of Mutually Independent and Autocorrelated Sources. | Shahram Hosseini, Yannick Deville |
| 2022 | MMSP | Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation. | Mostafa Bella, Hicham Saylani, Shahram Hosseini, Yannick Deville |
| 2019 | ICASSP | A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy. | Andra Guerrero, Shahram Hosseini, Yannick Deville, Thierry Contini, Tristan Grgoire |
| 2017 | ICASSP | Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data. | Moussa Sofiane Karoui, Shahram Hosseini, Yannick Deville, Abdelaziz Ouamri, Ines Meganem |
| 2016 | ICASSP | A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model. | Lina Jarboui, Shahram Hosseini, Rima Guidara, Yannick Deville, Ahmed Ben Hamida |
| 2014 | ATSIP | A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model. | Lina Jarboui, Shahram Hosseini, Yannick Deville, Rima Guidara, Ahmed Ben Hamida |
| 2014 | ICASSP | Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties. | Djaouad Benachir, Yannick Deville, Shahram Hosseini |
| 2012 | ICISP | Nonlinear Blind Source Separation Applied to a Simple Bijective Model. | Shahram Hosseini, Yannick Deville, Sonia El Amine, Hicham Saylani |
| 2012 | ICISP | Blind Separation of Convolutive Mixtures of Non-stationary and Temporally Uncorrelated Sources Based on Joint Diagonalization. | Hicham Saylani, Shahram Hosseini, Yannick Deville |
| 2012 | IGARSS | A new spatial sparsity-based method for extracting endmember spectra from hyperspectral data with some pure pixels. | Moussa Sofiane Karoui, Yannick Deville, Shahram Hosseini, Abdelaziz Ouamri |
| 2009 | IDA | Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation. | Hicham Saylani, Shahram Hosseini, Yannick Deville |
| 2008 | ICASSP | Extension of EFICA algorithm for blind separation of piecewise stationary non Gaussian sources. | Zbynek Koldovsk, Jir Mlek, Petr Tichavsk, Yannick Deville, Shahram Hosseini |
| 2007 | ESANN | Markovian blind separation of non-stationary temporally correlated sources. | Rima Guidara, Shahram Hosseini, Yannick Deville |
| 2006 | ESANN | A time-scale correlation-based blind separation method applicable to correlated sources. | Yannick Deville, Dass Bissessur, Matthieu Puigt, Shahram Hosseini, Herv Carfantan |
| 2003 | IWANN | Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure. | Shahram Hosseini, Yannick Deville |
| 2003 | IWANN | Neural Network Modeling of Ambulatory Systolic Blood Pressure for Hypertension Diagnosis. | Shahram Hosseini, Christian Jutten, Sylvie Charbonnier |
| 2000 | ICASSP | Spatio-temporal correlated noise in multi-output neural networks. | Shahram Hosseini, Christian Jutten |
| 1999 | IJCNN | Colored noise in dynamic systems: unbiased modeling by constructive neural networks. | Shahram Hosseini, Christian Jutten |
| 1999 | IWANN | Weight Freezing in Constructive Neural Networks: A Novel Approach. | Shahram Hosseini, Christian Jutten |
| 1998 | ESANN | Improving neural network estimation in presence of non i.i.d. noise. | Shahram Hosseini, Christian Jutten |