| Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems R Razavi-Far, E Hallaji, M Farajzadeh-Zanjani, M Saif, SH Kia, H Henao, ... IEEE Transactions on Industrial Electronics, 2018 | 136 | 2018 |
| An integrated class-imbalanced learning scheme for diagnosing bearing defects in induction motors R Razavi-Far, M Farajzadeh-Zanjani, M Saif IEEE Transactions on Industrial Informatics 13 (6), 2758-2769, 2017 | 123 | 2017 |
| A semi-supervised diagnostic framework based on the surface estimation of faulty distributions R Razavi-Far, E Hallaji, M Farajzadeh-Zanjani, M Saif IEEE Transactions on Industrial Informatics, 2018 | 92 | 2018 |
| Adversarial semi-supervised learning for diagnosing faults and attacks in power grids M Farajzadeh-Zanjani, E Hallaji, R Razavi-Far, M Saif, M Parvania IEEE Transactions on Smart Grid 12 (4), 3468-3478, 2021 | 66 | 2021 |
| Correlation clustering imputation for diagnosing attacks and faults with missing power grid data R Razavi-Far, M Farajzadeh-Zanjani, M Saif, S Chakrabarti IEEE Transactions on Smart Grid 11 (2), 1453-1464, 2019 | 59 | 2019 |
| Imputation-based ensemble techniques for class imbalance learning R Razavi-Far, M Farajzadeh-Zanajni, B Wang, M Saif, S Chakrabarti IEEE Transactions on Knowledge and Data Engineering 33 (5), 1988-2001, 2019 | 42 | 2019 |
| Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems M Farajzadeh-Zanjani, E Hallaji, R Razavi-Far, M Saif Neurocomputing 440, 101-110, 2021 | 37 | 2021 |
| Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries R Razavi-Far, M Farajzadeh-Zanjani, S Chakrabarti, M Saif Prognostics and Health Management (ICPHM), 2016 IEEE International …, 2016 | 37 | 2016 |
| Efficient sampling techniques for ensemble learning and diagnosing bearing defects under class imbalanced condition M Farajzadeh-Zanjani, R Razavi-Far, M Saif 2016 IEEE symposium series on computational intelligence (SSCI), 1-7, 2016 | 36 | 2016 |
| Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors M Farajzadeh-Zanjani, R Razavi-Far, M Saif, L Rueda 2016 International Joint Conference on Neural Networks (IJCNN), 4504-4511, 2016 | 32 | 2016 |
| Diagnosis of bearing defects in induction motors by fuzzy-neighborhood density-based clustering M Farajzadeh-Zanjani, R Razavi-Far, M Saif, J Zarei, V Palade 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 24 | 2015 |
| Dimensionality Reduction-Based Diagnosis of Bearing Defects in Induction Motors M Farajzadeh-Zanjani, R Razavi-Far, M Saif | 19* | |
| Generative adversarial networks: a survey on training, variants, and applications M Farajzadeh-Zanjani, R Razavi-Far, M Saif, V Palade Generative adversarial learning: Architectures and applications, 7-29, 2022 | 12 | 2022 |
| Generative-adversarial class-imbalance learning for classifying cyber-attacks and faults-a cyber-physical power system M Farajzadeh-Zanjani, E Hallaji, R Razavi-Far, M Saif IEEE Transactions on Dependable and Secure Computing 19 (6), 4068-4081, 2021 | 11 | 2021 |
| A Hybrid Ensemble Scheme for Diagnosing New Class Defects under Non-stationary and Class Imbalance Conditions R Razavi-Far, M Farajzadeh-Zanjani, M Saif, V Palade Sensing, Diagnostics, Prognostics, and Control (SDPC), 2017 International …, 2017 | 11 | 2017 |
| A critical study on the importance of feature extraction and selection for diagnosing bearing defects M Farajzadeh-Zanjani, R Razavi-Far, M Saif 2018 IEEE 61st International Midwest Symposium on Circuits and Systems …, 2018 | 10 | 2018 |
| One-class classifiers for detecting faults in induction motors R Razavi-Far, M Farajzadeh-Zanjani, S Zare, M Saif, J Zarei Electrical and Computer Engineering (CCECE), 2017 IEEE 30th Canadian …, 2017 | 10 | 2017 |
| Design of a cost-effective deep convolutional neural network–based scheme for diagnosing faults in smart grids H Hassani, M Farajzadeh-Zanjani, R Razavi-Far, M Saif, V Palade 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 9 | 2019 |
| Constrained generative adversarial learning for dimensionality reduction E Hallaji, M Farajzadeh-Zanjani, R Razavi-Far, V Palade, M Saif IEEE Transactions on Knowledge and Data Engineering 35 (3), 2394-2405, 2021 | 7 | 2021 |
| Secure true random number generator in WLAN/LAN A Chefranov, SMA Abhari, H Alavizadeh, MF Zanjani Proceedings of the 6th International Conference on Security of Information …, 2013 | 5 | 2013 |
Roozbeh Razavi-FarAssistant Professor, University of New Brunswick; SMIEEEVerified email at unb.ca
