| Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier M Mursalin, Y Zhang, Y Chen, NV Chawla Neurocomputing 241, 204-214, 2017 | 305 | 2017 |
| Towards classification of weeds through digital image M Mursalin, M Mesbah-Ul-Awal 2014 Fourth International Conference on Advanced Computing & Communication …, 2014 | 21 | 2014 |
| Epileptic seizure classification using statistical sampling and a novel feature selection algorithm M Mursalin, SS Islam, MK Noman, AA Al-Jumaily arXiv preprint arXiv:1902.09962, 2019 | 17 | 2019 |
| Automated epileptic seizure detection by analyzing wearable EEG signals using extended correlation-based feature selection Y Guo, Y Zhang, M Mursalin, W Xu, B Lo 2018 IEEE 15th International Conference on Wearable and Implantable Body …, 2018 | 11 | 2018 |
| Deep learning for 3D ear detection: A complete pipeline from data generation to segmentation M Mursalin, SMS Islam IEEE Access 9, 164976-164985, 2021 | 9 | 2021 |
| Biometric security: A novel ear recognition approach using a 3d morphable ear model M Mursalin, M Ahmed, P Haskell-Dowland Sensors 22 (22), 8988, 2022 | 8 | 2022 |
| EpNet: A deep neural network for ear detection in 3D point clouds M Mursalin, SMS Islam Advanced Concepts for Intelligent Vision Systems: 20th International …, 2020 | 7 | 2020 |
| 3D Morphable Ear Model: A Complete Pipeline from Ear Segmentation to Statistical Modeling M Mursalin, SMS Islam, SZ Gilani 2021 Digital Image Computing: Techniques and Applications (DICTA), 1-6, 2021 | 3 | 2021 |
| A cost-effective method for epileptic seizure classification M Mursalin, SMS Islam, A Al-Jumaily 2019 IEEE International Conference on Signal Processing, Communications and …, 2019 | | 2019 |
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame在 nd.edu 的电子邮件经过验证
