A wised routing protocols for LEO satellite networks. - Saeid Aghaei Nezhad Firouzja; Muhammad Yousefnezhad; Mohd Fauzi Othman; Masoud Samadi (ASCC, 2015)

Weighted Spectral Cluster Ensemble. - Muhammad Yousefnezhad; Daoqiang Zhang (ICDM, 2015)

Wisdom of Crowds cluster ensemble. - Hosein Alizadeh; Muhammad Yousefnezhad; Behrouz Minaei-Bidgoli (Intell. Data Anal., 2015)

Decoding Visual Stimuli in Human Brain by Using Anatomical Pattern Analysis on fMRI Images. - Muhammad Yousefnezhad; Daoqiang Zhang (BICS, 2016)

A New Approach in Persian Handwritten Letters Recognition Using Error Correcting Output Coding. - Maziar Kazemi; Muhammad Yousefnezhad; Saber Nourian (CoRR, 2016)

Evaluating the effect of topic consideration in identifying communities of rating-based social networks. - Ali Reihanian; Behrouz Minaei-Bidgoli; Muhammad Yousefnezhad (CoRR, 2016)

A new selection strategy for selective cluster ensemble based on Diversity and Independency. - Muhammad Yousefnezhad; Ali Reihanian; Daoqiang Zhang; Behrouz Minaei-Bidgoli (Eng. Appl. Artif. Intell., 2016)

Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. - Muhammad Yousefnezhad; Daoqiang Zhang (AAAI, 2017)

Deep Hyperalignment. - Muhammad Yousefnezhad; Daoqiang Zhang (NIPS, 2017)

Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. - Muhammad Yousefnezhad; Daoqiang Zhang (SDM, 2017)

Gradient-Based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. - Xiaoliang Sheng; Muhammad Yousefnezhad; Tonglin Xu; Ning Yuan; Daoqiang Zhang (PRCV (3), 2018)

Gradient Hyperalignment for Multi-subject fMRI Data Alignment. - Tonglin Xu; Muhammad Yousefnezhad; Daoqiang Zhang (PRICAI (1), 2018)

Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains. - Muhammad Yousefnezhad; Daoqiang Zhang (Cogn. Comput., 2018)

WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. - Muhammad Yousefnezhad; Sheng-Jun Huang; Daoqiang Zhang (IEEE Trans. Cybern., 2018)

Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. - Muhammad Yousefnezhad; Daoqiang Zhang (Neuroinformatics, 2019)

Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. - Shuo Huang 001; Liang Sun 009; Muhammad Yousefnezhad; Meiling Wang 001; Daoqiang Zhang (ICONIP (5), 2020)

Shared Space Transfer Learning for analyzing multi-site fMRI data. - Muhammad Yousefnezhad; Alessandro Selvitella; Daoqiang Zhang; Andrew J. Greenshaw; Russell Greiner (NeurIPS, 2020)

Supervised Hyperalignment for multi-subject fMRI data alignment. - Muhammad Yousefnezhad; Alessandro Selvitella; Liangxiu Han; Daoqiang Zhang (CoRR, 2020)

Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset. - Muhammad Yousefnezhad; Jeffrey Sawalha; Alessandro Selvitella; Daoqiang Zhang (Neuroinformatics, 2021)

Supervised Hyperalignment for Multisubject fMRI Data Alignment. - Muhammad Yousefnezhad; Alessandro Selvitella; Liangxiu Han; Daoqiang Zhang (IEEE Trans. Cogn. Dev. Syst., 2021)

Ischemic Stroke Lesion Prediction using imbalanced Temporal Deep Gaussian Process (iTDGP). - Mohsen Soltanpour; Muhammad Yousefnezhad; Russ Greiner; Pierre Boulanger; Brian Buck (CoRR, 2022)

Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects. - Muhammad Yousefnezhad; Daoqiang Zhang; Andrew J. Greenshaw; Russell Greiner (Frontiers Neuroinformatics, 2022)

Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities. - Shuo Huang 001; Liang Sun 009; Muhammad Yousefnezhad; Meiling Wang 001; Daoqiang Zhang (IEEE Trans. Cogn. Dev. Syst., 2022)

Using temporal GAN to translate the current CTP scan to follow-up MRI, for predicting final acute ischemic stroke lesions. - Mohsen Soltanpour; Muhammad Yousefnezhad; Russ Greiner; Pierre Boulanger; Brian Buck (Computer-Aided Diagnosis, 2023)