رشاد حسینی

1. Learning from different perspectives for regret reduction in reinforcement learning: A free energy approach

Ghorbani Milad، Hosseini Reshad، Shariatpanahi Seyed Pooya، Nili Ahmad Abadi Majid (2025)., NEUROCOMPUTING, 614(-), 128797.

2. Enhancing Bit-Flip Resilience With Bit Homogeneity for Neural Networks

Eslami Maryam، Liu Yuhao، Ullah Salim، Ersali Mostafa، Hosseini Reshad، Mirsalari Seyed Ahmad، Kumar Akash (2024)., IEEE Embedded Systems Letters, 16(4).

3. MONO: Enhancing Bit-Flip Resilience with Bit Homogeneity for Neural Networks

Eslami Maryam، Liu Yuhao، Ullah Salim، Ersali Mostafa، Hosseini Reshad، Mirsalari Seyed Ahmad، Kumar Akash (2024)., 22nd International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2024), 29 September-4 October, New York, United States Of America (USA).

4. A novel theoretical analysis on optimal pipeline of multi-frame image super-resolution using sparse coding

Afrasiabi Gonbadani Mohammad Mahdi، Hosseini Reshad، Abbasfar Aliazam (2024)., SIGNAL PROCESSING-IMAGE COMMUNICATION, 130(-), 117198.

5. Stereo-RIVO: Stereo-Robust Indirect Visual Odometry

Salehi Erfan، Aghagolzadeh Ali، Hosseini Reshad (2024)., JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 110(-).

6. Riemannian Preconditioned Coordinate Descent for Low Multilinear Rank Approximation

HAMED Mohammad، Hosseini Reshad (2024)., SIAM Journal on Matrix Analysis and Applications, 45(2).

7. High-Resolution Remote Sensing Image Captioning Based on Structured Attention and SAM Network

Riyazi Yasin، Sajadi Seyedmostafa، Zohrevand Abbas، Hosseini Reshad (2024)., 2024 32nd International Conference on Electrical Engineering, 14-16 May, Tehran, Iran.

1. Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models

Pasande Mohammad، Hosseini Reshad، Nadjar Araabi Babak (2024)., PATTERN RECOGNITION LETTERS, 178(--), 138-1344.

3. Stereo-RSSF: stereo robust sparse scene-flow estimation

Salehi Erfan، Aghagolzadeh Ali، Hosseini Reshad (2023)., VISUAL COMPUTER, xx(xx).

4. Density estimation helps adversarial robustness

Hasanebrahimi Afsaneh، Kaviani baghbadorani Bahare، Hosseini Reshad، Kalhor Ahmad (2023)., 2023 13th International Conference on Computer and Knowledge Engineering (ICCKE), 1 November, Mashhad, Iran.

5. Adversarial Robustness Evaluation with Separation Index

Kaviani baghbadorani Bahare، Hasanebrahimi Afsaneh، Kalhor Ahmad، Hosseini Reshad (2023)., 2023 13th International Conference on Computer and Knowledge Engineering (ICCKE), 1-2 November, Mashhad, Iran.

6. FRMDN: Flow-based recurrent mixture density network

Razavi Seyede Fateme، Hosseini Reshad، Behzad Tina (2023)., EXPERT SYSTEMS WITH APPLICATIONS, 237(x), 121360.

7. The optimal triangulation method is not really optimal

Nasiri Seyed-Mahdi، Hosseini Reshad، Moradisabzevar Manouchehr (2023)., IET Image Processing, ---(---).

8. Key Propelling of Customer Lifetime Value in Iranian Sports Clubs

Rajabi Asli Moahrokh، Khodamoradpoor Mozhgan، Yektayar mozafar، Hosseini Reshad (2023)., Sports Business Journal, 3(2).

2. Predicting the neural response of the primary visual cortex (v1) using deep learning approach

Abdi Dehsorkh Sadjad، Hosseini Reshad (2023)., 28th International Computer Science Conference, Computer Society of Iran, 25-26 January, Tehran, Iran.

3. Self-attention presents low-dimensional knowledge graph embeddings for link prediction

Baghershahi Peyman، Hosseini Reshad، Moradisabzevar Manouchehr (2023)., KNOWLEDGE-BASED SYSTEMS, 260(xx), 110124.

4. Online relational tracking with camera motion suppression..

HosseinNasseri Mohammad، Babaee Mohammadreza، Moradisabzevar Manouchehr، Hosseini Reshad (2022)., JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 90(2023), 103750.

5. Multiple-solutions RANSAC for finding axes of symmetry in fragments of objects

MahdiNasiri Seyed-، Hosseini Reshad، Moradisabzevar Manouchehr (2022)., PATTERN RECOGNITION, 131(2022), 108805.

1. A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm

Mousavi Kouzehkanan Zahra، Saghari Sepehr، Tavakoli sajad، Rostami Peyman، Abaszadeh Mohammadjavad، Mirzadeh Farzaneh، Shahabi satlsai Esmaeil، Gheidishahran Maryam، Gorgi Fatemeh، Mohammadi Saeed، Hosseini Reshad (2022)., Scientific Reports, 12(1123).

2. Single-View 3d Reconstruction of Surface of Revolution

Hosseini Seyed-Mohammad Hossein، Nasiri Seyed-Mahdi، Hosseini Reshad، Moradisabzevar Manouchehr (2022)., PATTERN RECOGNITION LETTERS, 2022(---).

3. ParsiNorm: A Persian Toolkit for Speech Processing Normalization

Oji Romina، Razavi Seyede Fateme، Abdi Dehsorkh Sadjad، Hariri Alireza، Asheri Hadi، Hosseini Reshad (2021)., International Conference on Signal Processing and Intelligent Systems, 29-30 December, Tehran, Iran.

4. Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds

Godaz Reza، Ghojogh Benyamin، Hosseini Reshad، Monsefi Reza، Karray Fakhri، Crowley Mark (2021)., Asian Conference on Machine Learning, 17-19 November, Beijing, China.

5. Accurate and fast matrix factorization for low-rank learning

Godaz Reza، Monsefi Reza، Toutounian Faezeh، Hosseini Reshad (2021)., Journal of Mathematical Modeling, xx(xx).