| A review of modularization techniques in artificial neural networks M Amer, T Maul Artificial Intelligence Review 52, 527-561, 2019 | 79 | 2019 |
| Path Capsule Networks M Amer, T Maul https://arxiv.org/abs/1902.03760, 2019 | 34 | 2019 |
| U-Net skip-connection architectures for the automated counting of microplastics KS Lee, HL Chen, YS Ng, T Maul, C Gibbins, KN Ting, M Amer, M Camara Neural Computing and Applications 34 (9), 7283-7297, 2022 | 10 | 2022 |
| Conditional generative adversarial networks for data augmentation in breast cancer classification WS Wong, M Amer, T Maul, IY Liao, A Ahmed Recent Advances on Soft Computing and Data Mining: Proceedings of the Fourth …, 2020 | 10 | 2020 |
| Weight map layer for noise and adversarial attack robustness M Amer, T Maul arXiv preprint arXiv:1905.00568, 2019 | 6 | 2019 |
| Reducing catastrophic forgetting in modular neural networks by dynamic information balancing M Amer, T Maul arXiv preprint arXiv:1912.04508, 2019 | 4 | 2019 |
| Balancing Accuracy and Latency in Multipath Neural Networks M Amer, T Maul, IY Liao arXiv preprint arXiv:2104.12040, 2021 | | 2021 |
Tomas MaulAssociate Professor of Computer Science, University of Nottingham Malaysia CampusVerified email at nottingham.edu.my
