| Applying support vector data description for fraud detection M Khedmati, M Erfani, M GhasemiGol arXiv preprint arXiv:2006.00618, 2020 | 13 | 2020 |
| A feature exploration approach for IoT attack type classification M Erfani, F Shoeleh, S Dadkhah, B Kaur, P Xiong, S Iqbal, S Ray, ... 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2021 | 10 | 2021 |
| Financial fraud detection using deep support vector data description M Erfani, F Shoeleh, AA Ghorbani 2020 IEEE International Conference on Big Data (Big Data), 2274-2282, 2020 | 4 | 2020 |
| User Profiling on Universal Data Insights tool on IBM Cloud Pak for Security F Shoeleh, M Erfani, SS Hasanabadi, DP Le, AH Lashkari, A Frank, ... 2021 18th International Conference on Privacy, Security and Trust (PST), 1-10, 2021 | 1 | 2021 |
| Ensemble of hierarchical temporal memory for anomaly detection F Shoeleh, M Erfani, DP Le, AA Ghorbani 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 1 | 2020 |
| Achieving more effective fraud detection M Erfani University of New Brunswick, 2021 | | 2021 |
| Adaptive User Profiling with Online Incremental Machine Learning for Security Information and Event Management DP Sharma, B Kaur, F Shoeleh, M Erfani, DP Le, AH Lashkari, ... | | |
Mohammad GhasemiGolResearch Assistant Professor, Old Dominion UniversityVerified email at odu.edu
