Journal Paper

1. "Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models"
   Mohammad Pasande, Reshad Hosseini, Babak Nadjar Araabi
   PATTERN RECOGNITION LETTERS, Vol. 178, pp.138-1344, 2024
2. "Stereo-RSSF: stereo robust sparse scene-flow estimation"
   Erfan Salehi, Ali Aghagolzadeh, Reshad Hosseini
   VISUAL COMPUTER, Vol. xx, 2023
3. "FRMDN: Flow-based recurrent mixture density network"
   Seyede Fateme Razavi, Reshad Hosseini, Tina Behzad
   EXPERT SYSTEMS WITH APPLICATIONS, Vol. 237, 2023
4. "Key Propelling of Customer Lifetime Value in Iranian Sports Clubs"
   Moahrokh Rajabi Asli, Mozhgan Khodamoradpoor, mozafar Yektayar, Reshad Hosseini
   Sports Business Journal, Vol. 3, No 2, 2023
5. "Self-attention presents low-dimensional knowledge graph embeddings for link prediction"
   Peyman Baghershahi, Reshad Hosseini, Manouchehr Moradisabzevar
   KNOWLEDGE-BASED SYSTEMS, Vol. 260, 2023
6. "Multiple-solutions RANSAC for finding axes of symmetry in fragments of objects"
   Seyed- MahdiNasiri, Reshad Hosseini, Manouchehr Moradisabzevar
   PATTERN RECOGNITION, Vol. 131, No 2022, 2022
7. "A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm"
   Zahra Mousavi Kouzehkanan, Sepehr Saghari, sajad Tavakoli, Peyman Rostami, Mohammadjavad Abaszadeh, Farzaneh Mirzadeh, Esmaeil Shahabi satlsai, Maryam Gheidishahran, Fatemeh Gorgi, Saeed Mohammadi, Reshad Hosseini
   Scientific Reports, Vol. 12, No 1123, 2022
8. "Accurate and fast matrix factorization for low-rank learning"
   Reza Godaz, Reza Monsefi, Faezeh Toutounian, Reshad Hosseini
   Journal of Mathematical Modeling, Vol. xx, 2021
9. "New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images"
   Sajad Tavakoli, Ali Qaffari, Zahra Mousavi, Reshad Hosseini
   Scientific Reports, Vol. 11, No 1, 2021
10. "Multi-source domain adaptation-based low-rank representation and correlation alignment"
    Yeganeh Madadi, Vahid Seydi, Reshad Hosseini
    International Journal of Computers and Applications, Vol. 00, pp.1-8, 2021
11. "Clustering subspace generalization to obtain faster reinforcement learning"
    Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmad Abadi
    EVOLVING SYSTEMS, Vol. 10, No 1, 2019
12. "An alternative to EM for Gaussian mixture models: batch and stochastic Riemannian optimization"
    Reshad Hosseini, Suvrit Sra
    MATHEMATICAL PROGRAMMING, Vol. 179, No 1, 2019
13. "Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning.."
    Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmad Abadi
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. --, 2018
14. "Inference and mixture modeling with the Elliptical Gamma Distribution"
    Reshad Hosseini, Suvrit Sra, Lucas Theis, Matthias Bethge
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, Vol. 101, No 1, pp.29-43, 2016
15. "Expected Logarithm of Central Quadratic Form and Its Use in KL-Divergence of Some Distributions"
    Pourya Habib Zadeh, Reshad Hosseini
    ENTROPY, Vol. 18, No 8, 2016
16. "Improved Bayesian Information Criterion for Mixture Model Selection"
    Arash Mehrjou, Reshad Hosseini, Babak Nadjar Araabi
    PATTERN RECOGNITION LETTERS, Vol. 69, No 1, pp.22-27, 2015
17. "Conic geometric optimisation on the manifold of positive definite matrices"
    Suvrit Sra, Reshad Hosseini
    SIAM JOURNAL ON OPTIMIZATION, Vol. xx, 2015
18. "Mixtures of Conditional Gaussian Scale Mixtures Applied to Multiscale Image Representations"
    Lucas Theis, Reshad Hosseini, Matthias Bethge
    PLoS One, Vol. 7, No 7, 2012
19. "Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook"
    Thomas Kitching, Adam Amara, mandeep Gill, Stefan Harmeling, Catherine Heymans, Richard Massey, Barnaby Rowe, Tim Schrabback, Lisa Voigt, Sreekumar T. Balan, Gary Bernstein, Matthias Bethge, Sarah Bridle, Frederic Courbin, Marc Gentile, Alan Heavens, Michael Hirsch, Reshad Hosseini
    Annals of Applied Statistics, Vol. 5, No 3, pp.2231-2263, 2011
20. "Lower bounds on the redundancy of natural images"
    Reshad Hosseini, Fabian Sinz, Matthias Bethge
    VISION RESEARCH, Vol. 50, No 22, pp.2213-2222, 2010
21. "Results of the GREAT08 Challenge★: an image analysis competition for cosmological lensing"
    Sarah Bridle, Sreekumar T. Balan, Matthias Bethge, Marc Gentile, Stefan Harmeling, Catherine Heymans, Michael Hirsch, Reshad Hosseini, Mike Jarvis, Donnacha Kirk, Thomas Kitching, Konrad Kuijken
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Vol. 405, 2010
22. "Identifying Leading Indicators in Determining Customer Lifetime Value In Sports Clubs"
    Mahrokh Rajabi, Mozhgan Khodamoradpour, mozafar Yektayar, Reshad Hosseini
    Quarterly Journal of Knowledge Management in Sports, Vol. 2, No 3, 2023

Conference Paper

1. "Predicting the neural response of the primary visual cortex (v1) using deep learning approach"
   Sadjad Abdi Dehsorkh, Reshad Hosseini
   28th International Computer Science Conference, Computer Society of Iran, 2023
2. "ParsiNorm: A Persian Toolkit for Speech Processing Normalization"
   Romina Oji, Seyede Fateme Razavi, Sadjad Abdi Dehsorkh, Alireza Hariri, Hadi Asheri, Reshad Hosseini
   International Conference on Signal Processing and Intelligent Systems, 2021
3. "Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds"
   Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley
   Asian Conference on Machine Learning, 2021
4. "Active Transfer Learning for Persian Offline Signature Verification"
   Taraneh Younesian, Saeed Massoudnia, Reshad Hosseini, Babak Nadjar Araabi
   2019 4th International Conference on Pattern Recognition and Image Analysis (IPRIA), 2019
5. "Power Line Detection and Tracking Using Hough Transform and Particle Filter"
   Mohammad Hosseini Nasseri, Manouchehr Moradisabzevar, Seyd Mehdi Nasiri, Reshad Hosseini
   RSI International Conference on Robotics and Mechatronics (ICRoM 2018), 2018
6. "A Linear Least Square Initialization Method for 3D Pose Graph Optimization Problem"
   Seyd Mehdi Nasiri, Manouchehr Moradisabzevar, Reshad Hosseini
   2018 IEEE International Conference on Robotics and Automation (ICRA), 2018
7. "Geometric Mean Metric Learning"
   Pourya Habib Zadeh, Reshad Hosseini, Suvrit Sra
   33rd International Conference on Machine Learning, 2016
8. "Matrix Manifold Optimization for Gaussian Mixtures"
   Reshad Hosseini, Suvrit Sra
   Neural Information Processing Systems, 2015
9. "K-means++ for Mixtures of von Mises-Fisher Distributions"
   Mohamadreza Mash'al, Reshad Hosseini
   Information and Knowledge Technology (IKT), 2015 7th Conference on, 2015
10. "Separation of multiplicative image components by Bayesian independent component analysis"
    Arash Mehrjou, Babak Nadjar Araabi, Reshad Hosseini
    Pattern Recognition and Image Analysis (IPRIA), 2015 2nd International Conference on, 2015
11. "Data modeling with the elliptical gamma distribution"
    Suvrit Sra, Reshad Hosseini, Lucas Theis, Matthias Bethge
    The 18th International Conference on Artificial Intelligence and Statistics, 2015
12. "Geometric optimisation on positive definite matrices with application to elliptically contoured distributions"
    Suvrit Sra, Reshad Hosseini
    Neural Information Processing Systems, 2013
13. "Validating psychophysics experiments using EMPATH model for investigating holistic nature of facial expression recognition"
    Akbar Mirzaei, Reshad Hosseini
    International Conference on Computer Engineering & IT, 2016
14. "Increasing the Learning Speed using the estimated model"
    Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmad Abadi
    21st International CSI Computer Conference, 2016