| SMPTE ST 2110 Compliant Scalable Architecture on FPGA for end to end Uncompressed Professional Video Transport Over IP Networks N Ranasinghe, R Bangamuarachchi, J Seneviratne, A Jayawardane, ... 2019 IEEE 30th International Conference on Application-specific Systems …, 2019 | 6 | 2019 |
| Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications N Ranasinghe, A Ramanan, S Fernando, PN Hameed, D Herath, ... Journal of the National Science Foundation of Sri Lanka 50, 2022 | 5 | 2022 |
| GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks N Ranasinghe, Y Xia, S Seneviratne, S Halgamuge arXiv preprint arXiv:2408.14780, 2024 | 4 | 2024 |
| GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations N Ranasinghe, D Senanayake, S Seneviratne, M Premaratne, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14776 …, 2024 | 2 | 2024 |
| Interpretable machine learning for identifying electrophysiological indicators of ALS using intracellular and extracellular recordings from iPSC-derived neurons N Ranasinghe, D Do-Ha, S Seneviratne, D Senanayake, L Ooi, ... 44th Lorne Genome Conference 2023, 2023 | | 2023 |
Saman K. HalgamugeFIEEE, FIET, FNASSL, Professor, University of Melbourne, Visiting DVC at SLIIT Sri Lanka在 unimelb.edu.au 的电子邮件经过验证
