ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework. - Tohid Yousefi Rezaii; Soosan Beheshti; Mahdi Shamsi; Siavash Eftekharifar (Biomed. Signal Process. Control., 2018)

Block Sparse Signal Recovery in Compressed Sensing: Optimum Active Block Selection and Within-Block Sparsity Order Estimation. - Mahdi Shamsi; Tohid Yousefi Rezaii; Mohammad Ali Tinati; Amir Rastegarnia; Azam Khalili (Circuits Syst. Signal Process., 2018)

Correct Number of Clusters (CNC) Description Length in Arbitrary Shape Clustering. - Mahdi Shamsi; Faizan Rahman; Soosan Beheshti (CWIT, 2019)

Distributed interference cancellation in multi-agent scenarios. - Mahdi Shamsi; Alireza Moslemi Haghighi; Farokh Marvasti (CoRR, 2019)

MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG Compression. - Mahdi Shamsi; Tohid Yousefi Rezaii; Soosan Beheshti (EMBC, 2020)

A nonlinear acceleration method for iterative algorithms. - Mahdi Shamsi; Mahmoud Ghandi; Farokh Marvasti (Signal Process., 2020)

Centrality Based Number of Cluster Estimation in Graph Clustering. - Mahdi Shamsi; Soosan Beheshti (ICASSP, 2021)

A Flexible Approach to Interference Cancellation in Distributed Sensor Networks. - Mahdi Shamsi; Alireza Moslemi Haghighi; Nasim Bagheri; Farrokh Marvasti (IEEE Commun. Lett., 2021)

Relative Entropy (RE) Based LTI System Modeling Equipped with time delay Estimation and Online Modeling. - Mahdi Shamsi; Soosan Beheshti (CoRR, 2022)

Relative Entropy (RE)-Based LTI System Modeling Equipped With Simultaneous Time Delay Estimation and Online Modeling. - Mahdi Shamsi; Soosan Beheshti (IEEE Access, 2023)

Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models. - Soosan Beheshti; Mahdi Shamsi (CoRR, 2023)

Non-Orthogonal Time-Frequency Space Modulation. - Mahdi Shamsi; Farokh Marvasti (CoRR, 2023)

Distributed Estimation with Partially Accessible Information: An IMAT Approach to LMS Diffusion. - Mahdi Shamsi; Farokh Marvasti (CoRR, 2023)

Polynomial Regression Hyperparameter Selection and Analysis using Reconstruction Error Minimization (REM). - Soosan Beheshti; Mahdi Shamsi; Younes Sadat-Nejad; Miaosen Zhou (SDS, 2024)

Algorithmic trading using continuous action space deep reinforcement learning. - Naseh Majidi; Mahdi Shamsi; Farokh Marvasti (Expert Syst. Appl., 2024)

ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling. - Soosan Beheshti; Mahdi Shamsi (IEEE Access, 2025)

Separability and scatteredness (S&S) ratio-based efficient SVM regularization parameter, kernel, and kernel parameter selection. - Mahdi Shamsi; Soosan Beheshti (Pattern Anal. Appl., 2025)

Orthogonal Peak Cancellation: A Bandwidth-Efficient Companding Method for PAPR Reduction in OFDM. - Mahdi Davoodabadi; Mahdi Shamsi; Farokh Marvasti (IEEE Commun. Lett., 2025)

Robust diffusion LMS with masked measurements. - Mahdi Shamsi; Hadi Zayyani; Farokh Marvasti (Signal Process., 2026)