| DALLE-URBAN: Capturing the urban design expertise of large text to image transformers S Seneviratne, D Senanayake, S Rasnayaka, R Vidanaarachchi, ... 2022 International Conference on Digital Image Computing: Techniques and …, 2022 | 24 | 2022 |
| Self-organizing nebulous growths for robust and incremental data visualization DA Senanayake, W Wang, SH Naik, S Halgamuge IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4588-4602, 2020 | 17 | 2020 |
| Real-time conversion of inertial measurement unit data to ankle joint angles using deep neural networks D Senanayake, S Halgamuge, DC Ackland Journal of Biomechanics 125, 110552, 2021 | 13 | 2021 |
| Conversion of Upper-Limb Inertial Measurement Unit Data to Joint Angles: A Systematic Review Z Fang, S Woodford, D Senanayake, D Ackland Sensors 23 (14), 6535, 2023 | 10 | 2023 |
| Customer Churn Prediction: A Cognitive Approach D Senanayake, L Muthugama, L Mendis, T Madushanka Internation Journal of Computer, Electrical, Automation, Control and …, 2015 | 7 | 2015 |
| Dimensionality reduction for visualizing high-dimensional biological data T Malepathirana, D Senanayake, R Vidanaarachchi, V Gautam, ... Biosystems 220, 104749, 2022 | 6 | 2022 |
| ENVirT: inference of ecological characteristics of viruses from metagenomic data D Jayasundara, D Herath, D Senanayake, I Saeed, CY Yang, Y Sun, ... BMC bioinformatics 19, 1-12, 2019 | 4 | 2019 |
| 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 |
| Classification of Fracture Risk in Fallers Using Dual‐Energy X‐Ray Absorptiometry (DXA) Images and Deep Learning‐Based Feature Extraction D Senanayake, S Seneviratne, M Imani, C Harijanto, M Sales, P Lee, ... JBMR plus 7 (12), e10828, 2023 | 1 | 2023 |
| Solar PV Maps for Estimation and Forecasting of Distributed Solar Generation J de Hoog, M Perera, K Bandara, D Senanayake, S Halgamuge ICML 2021 Workshop on Tackling Climate Change with Machine Learning, 2021 | 1 | 2021 |
| Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data M Perera, J De Hoog, K Bandara, D Senanayake, S Halgamuge Applied Energy 361, 122971, 2024 | | 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 | | 2024 |
| 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 |
| Annotation-efficient deep learning for breast cancer whole-slide image classification using Tumor Infiltrating Lymphocytes and slide-level labels S Halgamuge, R Perera, P Savas, D Senanayake, R Salgado, H Joensuu, ... | | 2023 |
| 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 |
| 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 |
| Drug response pattern analysis framework for high resolution and incremental Multi-Electrode Array data Tamasha Malepathirana, Damith A. Senanayake, Saman Halgamuge, Lezanne Ooi ... RECOMB 2020, 2020 | | 2020 |
| 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 |
| Exploratory Analysis of Highly Dimensional Data: Parametric Methods for Dimensionality Reduction, Visualization and Feature Extraction with Applications in Computational Biology. DA Senanayake University of Melbourne, Parkville, Victoria, Australia, 2020 | | 2020 |
| Adapting General PaaS for Custom Product Deployment D Senanayake Proceedings of CSE Symposium 2014, 2014 | | 2014 |
Saman K. HalgamugeFIEEE, FIET, Professor, University of Melbourne, Visiting DVC at SLIITunimelb.edu.au üzerinde doğrulanmış e-posta adresine sahip
