| Dimensionality reduction for visualizing high-dimensional biological data T Malepathirana, D Senanayake, R Vidanaarachchi, V Gautam, ... Biosystems 220, 104749, 2022 | 6 | 2022 |
| Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications N Ranasinghe, A Ramanan, S Fernando, PN Hameed, D Herath, ... arXiv preprint arXiv:2211.16699, 2022 | 3 | 2022 |
| Robustness of visualization methods in preserving the continuous and discrete latent structures of high-dimensional single-cell data T Malepathirana, DA Senanayake, V Gautam, SK Halgamuge 2021 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2021 | 3 | 2021 |
| Amalgamation of general and domain specific word embeddings for improved hierarchical aspect aggregation R Perera, T Malepathirana, Y Abeysinghe, Y Albar, U Thayasivam 2019 IEEE 13th International Conference on Semantic Computing (ICSC), 55-62, 2019 | 3 | 2019 |
| When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks H Wu, W Wang, T Malepathirana, D Senanayake, D Oetomo, ... arXiv preprint arXiv:2401.03104, 2024 | | 2024 |
| NAPA-VQ: Neighborhood-Aware Prototype Augmentation with Vector Quantization for Continual Learning T Malepathirana, D Senanayake, S Halgamuge Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Undercover Deepfakes: Detecting Fake Segments in Videos S Saha, R Perera, S Seneviratne, T Malepathirana, S Rasnayaka, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 415-425, 2023 | | 2023 |
| Visualization of Incrementally Learned Projection Trajectories for Longitudinal Data T Malepathirana, D Senanayake, V Gautam, M Engel, R Balez, ... bioRxiv, 2022.11. 25.515889, 2022 | | 2022 |
| Analysing Multi-Electrode Array (MEA) data derived from Alzheimer Disease organoids SH Tamasha Malepathirana, Damith Senanayake, Yadeesha Deerasooriya, Lezanne Ooi 41st Lorne Genome Conference 2020, 2020 | | 2020 |
| Adaptation of Multivariate Concept to Multi-Way Agglomerative Clustering for Hierarchical Aspect Aggregation T Malepathirana, R Perera, Y Abeysinghe, Y Albar, U Thayasivam The Thirty-Second International Flairs Conference, 2019 | | 2019 |
| NAPA-VQ: Neighborhood-Aware Prototype Augmentation with Vector Quantization for Continual Learning (Supplementary Materials) T Malepathirana, D Senanayake, S Halgamuge | | |
Saman K. HalgamugeFIEEE, FIET, Professor, University of Melbourne, Visiting DVC at SLIITEmail verificata su unimelb.edu.au
