Fuzzy rough set feature selection to enhance phishing attack detection M Zabihimayvan, D Doran 2019 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-6, 2019 | 89 | 2019 |
Detection of Web site visitors based on fuzzy rough sets J Hamidzadeh, M Zabihimayvan, R Sadeghi Soft Computing 22 (7), 2175-2188, 2018 | 57 | 2018 |
A soft computing approach for benign and malicious web robot detection M Zabihimayvan, R Sadeghi, HN Rude, D Doran Expert Systems with Applications 87, 129-140, 2017 | 53 | 2017 |
Using machine learning to train a wearable device for measuring students’ cognitive load during problem-solving activities based on electrodermal activity, body temperature … WL Romine, NL Schroeder, J Graft, F Yang, R Sadeghi, M Zabihimayvan, ... Sensors 20 (17), 4833, 2020 | 45 | 2020 |
A Broad Evaluation of the Tor English Content Ecosystem M Zabihimayvan, R Sadeghi, D Doran, M Allahyari The 11th ACM Conference on Web Science, 333-342, 2019 | 21 | 2019 |
A density based clustering approach for web robot detection M Zabihi, MV Jahan, J Hamidzadeh 2014 4th International Conference on Computer and Knowledge Engineering …, 2014 | 20 | 2014 |
Deep neural classification of darknet traffic M Alimoradi, M Zabihimayvan, A Daliri, R Sledzik, R Sadeghi Artificial Intelligence Research and Development, 105-114, 2022 | 18 | 2022 |
World Hyper-Heuristic: A novel reinforcement learning approach for dynamic exploration and exploitation A Daliri, M Alimoradi, M Zabihimayvan, R Sadeghi Expert Systems with Applications 244, 122931, 2024 | 14 | 2024 |
A first look at references from the dark to the surface web world: a case study in Tor M Zabihimayvan, D Doran International Journal of Information Security 21 (4), 739-755, 2022 | 7 | 2022 |
Some (non-) universal features of web robot traffic M Zabihimayvan, D Doran 2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2018 | 7 | 2018 |
Interaction of structure and information on tor M Zabihimayvan, R Sadeghi, D Kadariya, D Doran Complex Networks & Their Applications IX: Volume 1, Proceedings of the Ninth …, 2021 | 5 | 2021 |
Phishing Attack Detection: An Improved Performance Through Ensemble Learning B McConnell, D Del Monaco, M Zabihimayvan, F Abdollahzadeh, ... International Conference on Artificial Intelligence and Soft Computing, 145-157, 2023 | 3 | 2023 |
Statistic Deviation Mode Balancer (SDMB): A novel sampling algorithm for imbalanced data M Alimoradi, R Sadeghi, A Daliri, M Zabihimayvan Neurocomputing, 129484, 2025 | 2 | 2025 |
Vector Result Rate (VRR): A Novel Method for Fraud Detection in Mobile Payment Systems A Daliri, M Zabihimayvan, K Saleh Artificial Intelligence and Social Computing 122 (122), 2024 | 1 | 2024 |
A first look at references from the dark to surface web world M Zabihimayvan, D Doran arXiv preprint arXiv:1911.07814, 2019 | 1 | 2019 |
Security, information, and structure characterization of Tor: a survey M Zabihimayvan, R Sadeghi, D Doran Telecommunication Systems, 1-17, 2024 | | 2024 |
Equilateral Active Learning (EAL): A Novel Framework for Predicting Autism Spectrum Disorder Based on Active Fuzzy Federated Learning A Daliri, M Khoshbakhti, MK Samadi, M Rahiminia, M Zabihimayvan, ... | | 2024 |
Focal Loss Improves Performance of High-Sensitivity C-Reactive Protein Imbalanced Classification R Sledzik, M Zabihimayvan 2022 IEEE 35th International Symposium on Computer-Based Medical Systems …, 2022 | | 2022 |
William L. Romine*, Noah L. Schroeder 2, Josephine Graft, Fan Yang 3, Reza Sadeghi 4 M Zabihimayvan, D Kadariya, T Banerjee Sensors 20, 4833, 2020 | | 2020 |
New Perspectives About The Tor Ecosystem: Integrating Structure With Information M Zabihimayvan Wright State University, 2020 | | 2020 |