Universal image steganalysis based on GARCH model. - Saeed Akhavan; Mohammad Ali Akhaee; Saeed Sarreshtedari (EUSIPCO, 2014)

Using the improved Petrov-Galerkin elements k-0 for solving nonlinear Hammerstein-Fredholm integral equations. - Khosrow Maleknejad; Saeed Akhavan (J. Comput. Appl. Math., 2014)

Improving Petrov-Galerkin elements via Chebyshev polynomials and solving Fredholm integral equation of the second kind by them. - Saeed Akhavan; Khosrow Maleknejad (Appl. Math. Comput., 2015)

Images steganalysis using GARCH model for feature selection. - Saeed Akhavan; Mohammad Ali Akhaee; Saeed Sarreshtedari (Signal Process. Image Commun., 2015)

Characterizing absence epileptic seizures from depth cortical measurements. - Saeed Akhavan; Ronald Phlypo; Hamid Soltanian-Zadeh; F. Studer; A. Depaulis; Christian Jutten (EUSIPCO, 2017)

Static and Dynamic Modeling of Absence Epileptic Seizures Using Depth Recordings. - Saeed Akhavan; Ronald Phlypo; Hamid Soltanian-Zadeh; Mahmoud Kamarei; Christian Jutten (LVA/ICA, 2018)

Learning Overcomplete Dictionaries from Markovian Data. - Saeed Akhavan; Samaneh Esmaeili; Massoud Babaie-Zadeh; Hamid Soltanian-Zadeh (SAM, 2018)

Unmixing of Absence Epileptic Seizures in GAERS. - Saeed Akhavan; Ronald Phlypo; Hamid Soltanian-Zadeh; Mahmoud Kamarei; Christian Jutten (SAM, 2018)

Spatio-Temporal Modeling of Absence Epileptic Seizures Using Depth Recordings. - Saeed Akhavan; Mahmoud Kamarei; Hamid Soltanian-Zadeh (EUROCON, 2019)

Geometry-based solution of joint diagonalisation in blind source separation. - Saeed Akhavan; Samaneh Esmaeili; Hamid Soltanian-Zadeh (IET Signal Process., 2019)

Numerical solution of the mixed Volterra-Fredholm integro-differential multi-term equations of fractional order. - A. Roohollahi; Bahman Ghazanfari; Saeed Akhavan (J. Comput. Appl. Math., 2020)

Separation of static and dynamic sources in absence epileptic seizures using depth cortical measurements. - Saeed Akhavan; Ronald Phlypo; Mahmoud Kamarei; Hamid Soltanian-Zadeh; Christian Jutten (Signal Process., 2020)

Alternating Projection Approach for Nonlinear Blind Separation of Sparse Sources. - Saeed Akhavan; Hamid Soltanian-Zadeh (EUSIPCO, 2021)

Blind separation of sparse sources from nonlinear mixtures. - Saeed Akhavan; Hamid Soltanian-Zadeh (Digit. Signal Process., 2021)

Dictionary learning for sparse representation of signals with hidden Markov model dependency. - Saeed Akhavan; Farnoush Baghestani; Parham Kazemi; Ali Karami; Hamid Soltanian-Zadeh (Digit. Signal Process., 2022)

Using 2D and 1D block-pulse functions simultaneously for solving the Barbashin integro-differential equations. - Saeed Akhavan; A. Roohollahi (Int. J. Comput. Math., 2023)

Multi-Source 2D-AOA Estimation via Deep Learning. - Alireza Fadakar; Ashkan Jafari; Saeed Akhavan (VTC Fall, 2024)

Localization Using Convolutional Neural Networks with Mobile Array. - Alireza Fadakar; Amir Mansourian; Saeed Akhavan (VTC Fall, 2024)

Enhanced K-SVD Based Approach for Multi-Source 3D Localization with a Mobile Receiver. - Amir Mansourian; Alireza Fadakar; Saeed Akhavan (VTC Fall, 2024)

Deep learning based 2D-DOA estimation using L-shaped arrays. - Alireza Fadakar; Ashkan Jafari; Parisa Tavana; Reza Jahani; Saeed Akhavan (J. Frankl. Inst., 2024)

Deep learning aided multi-source passive 3D AOA wireless positioning using a moving receiver: A low complexity approach. - Alireza Fadakar; Amir Mansourian; Saeed Akhavan (Ad Hoc Networks, 2024)

SUM: Saliency Unification Through Mamba for Visual Attention Modeling. - Alireza Hosseini; Amirhossein Kazerouni; Saeed Akhavan; Michael Brudno; Babak Taati (WACV, 2025)

Robust 3-D Multi-Source Localization With a Movable Antenna Array via Sparse Signal Processing. - Amir Mansourian; Alireza Fadakar; Saeed Akhavan; Behrouz Maham (IEEE Open J. Commun. Soc., 2025)