| Machine learning analysis of digital clock drawing test performance for differential classification of mild cognitive impairment subtypes versus Alzheimer’s disease R Binaco, N Calzaretto, J Epifano, S McGuire, M Umer, S Emrani, ... Journal of the International Neuropsychological Society 26 (7), 690-700, 2020 | 78 | 2020 |
| Electrocardiogram feature extraction and pattern recognition using a novel windowing algorithm M Umer, BA Bhatti, MH Tariq, M Zia-ul-Hassan, MY Khan, T Zaidi Advances in Bioscience and Biotechnology 5 (11), 886, 2014 | 34 | 2014 |
| Learning under extreme verification latency quickly: Fast compose M Umer, C Frederickson, R Polikar 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 25 | 2016 |
| Targeted forgetting and false memory formation in continual learners through adversarial backdoor attacks M Umer, G Dawson, R Polikar 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 15 | 2020 |
| LEVELIW: Learning extreme verification latency with importance weighting M Umer, R Polikar, C Frederickson 2017 International Joint Conference on Neural Networks (IJCNN), 1740-1747, 2017 | 13 | 2017 |
| Adversarial targeted forgetting in regularization and generative based continual learning models M Umer, R Polikar 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 9 | 2021 |
| Vulnerability of covariate shift adaptation against malicious poisoning attacks M Umer, C Frederickson, R Polikar 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 9 | 2019 |
| Adversarial poisoning of importance weighting in domain adaptation M Umer, C Frederickson, R Polikar 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 381-388, 2018 | 7 | 2018 |
| Carrier and symbol synchronization in digital receivers using feedback compensation loop and early late gate on FPGA BA Bhatti, M Umer, W Ahmed, MH Tariq, U Ali 2014 International Conference on Robotics and Emerging Allied Technologies …, 2014 | 7 | 2014 |
| Comparative analysis of extreme verification latency learning algorithms M Umer, R Polikar arXiv preprint arXiv:2011.14917, 2020 | 6 | 2020 |
| False memory formation in continual learners through imperceptible backdoor trigger M Umer, R Polikar arXiv preprint arXiv:2202.04479, 2022 | 4 | 2022 |
| Learning Extreme Verification Latency Quickly with Importance Weighting: FAST COMPOSE & LEVELIW M Umer Rowan University, 2017 | 2 | 2017 |
| Adversary Aware Continual Learning M Umer, R Polikar IEEE Access, 2024 | | 2024 |
