J. Sawalha, M. Yousefnezhad, Z. Shah, M.R.G. Brown, A.J. Greenshaw, R. Greiner, Detecting Presence of PTSD Using Sentiment Analysis From Text Data. Frontiers in Psychiatry, 12:811392. DOI: 10.3389/fpsyt.2021.811392 [PDF] [TV Interview] [Folio (UofAlberta)] [NewsWise] [TroyMedia] [Verve Times] [News Azi] [Laboratory Equipment] [StudyFinds] [My Healthy Click].

J. Sawalha, M. Yousefnezhad, A.M. Selvitella, B. Cao, A.J. Greenshaw, R. Greiner, Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces. Nature Scientific Reports DOI: 10.1038/s41598-021-95987-4 [PDF] [Supplemental Material].

S. Huang, L. Sun, M. Yousefnezhad, M. Wang, D. Zhang, Temporal Information Guided Generative Adversarial Networks for Stimuli Image Reconstruction from Human Brain Activities. IEEE Transactions on Cognitive and Developmental Systems (TCDS), DOI: 10.1109/TCDS.2021.3098743. [PDF]

M. Yousefnezhad, A. Selvitella, L. Han, D. Zhang, Supervised Hyperalignment for multi-subject fMRI data alignment. IEEE Transactions on Cognitive and Developmental Systems, Volume: 13, Issue: 3, pp. 475-490, DOI: 10.1109/TCDS.2020.2965981. [PDF]

M. Yousefnezhad, J. Sawalha, A. Selvitella, D. Zhang, Deep Representational Similarity Learning for analyzing neural signatures in task-based fMRI dataset. Neuroinformatics, DOI: 10.1007/s12021-020-09494-4. [PDF]

J. Chen, J. Tan, A.J. Greenshaw, J. Sawalha, Y. Liu, X. Zhang, W. Zou, X. Cheng, W. Deng, Y. Zhang, L. Cui, C. Liu, J. Sun, X. Cheng, Q. Wu, S. Li, S. Mai, X. Lan , Y. Chen, Y. Cai, C. Zheng, D. Cheng, B. Zhang, C. Yang, X. Li, X. Li, B. Ye, M. Yousefnezhad, Y. Zhang, L. Zhao, J.C. Soares, X. Zhang, T. Li, B. Cao, L. Cao, CACNB2 rs11013860 polymorphism correlates of prefrontal cortex thickness in bipolar patients with first-episode mania. Journal of Affective Disorders, Vol. 268, 1 May 2020, pp. 82-87, DOI: 10.1016/j.jad.2020.02.007. [PDF]

M. Yousefnezhad, A. Reihanian, B. Minaei-Bidgoli, Proposing a New Framework for Automation of Thresholding in Wisdom of Crowds Cluster Ensemble Selection. Tabriz Journal of Electrical Engineering (TJEE), June/11, ISSN 2008-7799, eISSN 2538-3051, [Link], [PDF].

M. Yousefnezhad, D. Zhang, Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis. Neuroinformatics, Springer. [PDF]

M. Yousefnezhad, D. Zhang, Anatomical Pattern Analysis for decoding visual stimuli in human brains. Cognitive Computation. pp. 1-12 DOI: 10.1007/s12559-017-9518-9. [PDF]

M. Yousefnezhad, S. J. Huang, D. Zhang, WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. IEEE Transactions on Cybernetics, IEEE, pp. 1-14, DOI: 10.1109/TCYB.2016.2642999. [PDF]

F. Asghari-Paeenroodposhti, S. Nourian, M. Yousefnezhad, Wised Semi-Supervised Cluster Ensemble Selection: A New Framework for Selecting and Combing Multiple Partitions Based On Prior knowledge. Journal of Advances in Computer Research, vol. 8 (1).

M. Yousefnezhad, A. Reihanian, D. Zhang, B. Minaei-Bidgoli, A new selection strategy for selective cluster ensemble based on Diversity and Independency. Engineering Applications of Artificial Intelligence (EAAI), Elsevier, vol. 56, pp. 260-272, 10.1016/j.engappai.2016.10.005. [PDF] [CAIL Scripts]

M. Kazemi, M. Yousefnezhad, S. Nourian, A New Approach in Persian Handwritten Letters Recognition Using Error Correcting Output Coding. Journal of Advances in Computer Research, vol. 6 (4). [PDF]

H. Alizadeh, M. Yousefnezhad, B. Minaei-Bidgoli, Wisdom of Crowds Cluster Ensemble. Intelligent Data Analysis (IDA), IOS Press, vol. 19 (3). [PDF]

M. Yousefnezhad, A. Selvitella, D. Zhang, A.J. Greenshaw, R. Greiner, Shared Space Transfer Learning for analyzing multi-site fMRI data. The 24th Conference on Neural Information Processing Systems (NeurIPS'20), December/6—12, Vancouver, Canada, virtual-only conference. [PDF] [Supplemental Material] [Poster] [Thumbnail] [Video] [AI Seminar]

B. Behroozi Asl, M. Yousefnezhad, K. Wallace, E. Yang, L. Roper, G. Aryal, R. Isenberg, R.J. Lodhi, P. Carnes, B. Green, R. Greiner, K.J. Aitchison, Using Machine Learning to Explore Problematic Sexual Behavior and Related Conditions. Virtual World Congress of Psychiatric Genetic (WCPG2020), October/19—21, virtual-only conference.

S. Huang, L. Sun, M. Yousefnezhad, M. Wang, D. Zhang, Perceived Image Reconstruction from Human Brain Activity via Time-series Information Guided Generative Adversarial Networks. The 27th International Conference on Neural Information Processing (ICONIP2020), Nov/18—22, Bangkok, Thailand, virtual-only conference. [PDF]

X. Sheng, M. Yousefnezhad, T. Xu, N. Yuan, D. Zhang, Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. 1st Chinese Conference on Pattern Recognition and Computer Vision 2018 (PRCV18), Nov/23-26, Guangzhou, China. [PDF]

T. Xu, M. Yousefnezhad, D. Zhang, Gradient Hyperalignment for multi-subject fMRI data alignment, 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018), Nanjing, China, August 28-31, 2018. [PDF]

M. Yousefnezhad, D. Zhang, Deep Hyperalignment, 31st Advances in Neural Information Processing Systems (NIPS), Long Beach, USA, December/4-9, Spotlight Presentation. [PDF] [Supplemental Material] [Poster] [Video] [Spotlight]

M. Yousefnezhad, D. Zhang, Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. SIAM International Conference on Data Mininig (SDM), Houston, Texas, USA, April/27-29, pp. 54-62, DOI: 10.1137/1.9781611974973.7. [PDF] [Supplemental Material] [Poster] [Video] [Slides]

M. Yousefnezhad, D. Zhang, Local Discriminant Hyperalignment for multi-subject fMRI data alignment. 34th AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, USA, February/4-9, pp. 59-65. [PDF] [Slides]

M. Yousefnezhad, D. Zhang, Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images. 8th International Conference on Brain Inspired Cognitive Systems (BICS), Beijing, China, November/28-30, LNAI: 10023, pp. 47-57, DOI: 10.1007/978-3-319-49685-6_5. [PDF] [Slides] [Best Student Award]

M. Bagheri, M. Yousefnezhad, A. Reihanian, Non-functional requirement management in service orientation by using aspect orientation. 3rd International Conference on applied research in Computer and Information Technology, Malekeashtar University of Technology, Tehran, Iran, February/04 (in Persian). [PDF]

M. Yousefnezhad, D. Zhang, Weighted Spectral Cluster Ensemble. IEEE International Conference on Data Mining series (ICDM'15), Atlantic City, New Jersey, USA, pp. 549-558, Nov/14-17, DOI: 10.1109/ICDM.2015.145. [PDF] [Codes]

A. Reihanian, B. Minaei-Bidgoli, M. Yousefnezhad, Evaluating the effect of topic consideration in identifying communities of rating-based social networks. 7th International Conference on Information and Knowledge Technology (IKT'15), Urmia, Iran, May/26-28. [PDF]

S. Aghaei Nezhad Firouzja, M. Yousefnezhad, M. Fauzi Othman, M. Samadi, A wised routing protocols for Leo Satellite Networks. 10th Asian Control Conference, Universiti Teknologi Malaysia, Malaysia. [PDF]

M. Tourandaz, M. Yousefnezhad, S. Nourian, To propose a new method for diagnose Alzheimer's disease based on the selected features via sparse coding. 7th Iranian & 1st International Conference of Knowledge Management (ICKM'15), Shahid Beheshti University, Tehran, Iran (in Persian). [PDF]

M. Tourandaz, M. Yousefnezhad, S. Nourian, Diagnosis of Alzheimer's Disease by applying Support Vector Machine on the Locally Linear Embedding mapped data. 1st ICCONF, Tehran, Iran (in Persian). [PDF]

M. Tourandaz, M. Yousefnezhad, S. Nourian, Diagnose mild cognitive impairment's disease based on the selected features via sparse coding. National Conference on Intelligent Systems and Communications Technology (TSPI'15), Tabriz, Iran (in Persian). [PDF]

M. Tourandaz, M. Yousefnezhad, S. Nourian, To propose a new method for predicting Alzheimer disease in MCI subjects based on the selected features via sparse coding. National Conference on Information & Communication Technology (ICT'15), Shahid Beheshti University, Tehran, Iran (in Persian). [PDF]

M. Kazemi, M. Yousefnezhad, S. Nourian, Persian Handwritten Letter Recognition Using Ensemble SVM Classifiers Based on Feature Extraction. National Conference on Intelligent Systems and Information and Communications Technology, Tabriz, Iran (in Persian). [PDF]

M. Kazemi, M. Yousefnezhad, S. Nourian, Persian Handwritten Letters Recognition with Using Ensemble Methods. 2nd Conference on Computer and Information Technology (CSCCIT'14), Tabriz, Iran (in Persian). [PDF]

M. Yousefnezhad, H. Alizadeh, B. Minaei-Bidgoli, New cluster ensemble selection method based on Diversity and Independent metrics. 5th Conference on Information and Knowledge Technology (IKT'13), Shiraz, Iran (in Persian). [PDF]

M. Yousefnezhad Reading Minds: A Neuroscience Application of Machine Learning, Keynote, NatChat, University of Alberta.

Russ Greiner, M. Yousefnezhad Machine Learning Applications in NeuroInformatics, Keynote, Neuroscience and Mental Health Institute (NMHI), University of Alberta.

M. Yousefnezhad Shared Space Transfer Learning for analyzing multi-site fMRI data, AI Seminar, University of Alberta [Video].

M. Yousefnezhad Human Brain Mapping and Decoding, AI Seminar, University of Alberta [Info].

M. Yousefnezhad Analyzing Human Brain Patterns by using deep approaches, Keynote, 1st Machine Learning, Optimization and Control (MLOC'18), Shenzhen, China. [Slides]

M. Yousefnezhad Deep Hyperalignment. Spotlight, 15th Workshop in Machine Learning and Application (MLA'17), Beijing Jiaotong University, China. [Slides] [Poster]

M. Yousefnezhad Adaptive Weighted Spectral Clustering. Keynote, 3rd International Conference of Postgraduates, Nanjing University of Aeronautics and Astronautics, China. [Slides]

M. Yousefnezhad Wisdom of Crowds Cluster Ensemble Selection. Keynote, 2nd International Conference of Postgraduates, Nanjing University of Aeronautics and Astronautics, China. [Slides]

M. Yousefnezhad Network Security, Keynote, 1st Annual Conference, Mazandaran University of Science and Technology, Iran.