| 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 |
| MDNCaching: A strategy to generate quality negatives for knowledge graph embedding T Madushanka, R Ichise International Conference on Industrial, Engineering and Other Applications …, 2022 | 4 | 2022 |
| Performance comparison of NoSQL databases in pseudo distributed mode: Cassandra, MongoDB & Redis CU Kumarasinghe, K Liyanage, WAT Madushanka, R Mendis | 3 | 2016 |
| A Novel Anomaly Detection Approach to Secure APIs from Cyberattacks A Ifthikar, N Thennakoon, S Malalgoda, HK Moraliyage, T Jayawickrama, ... La Trobe, 2022 | 1 | 2022 |
| Building Automation System to Optimize Energy Utilization Acquiring the Best Performance of Appliances in a Distributed Network I Ranaweera, T Madushanka, C Ranaweera Proceedings of International Conference on Advances in Computing and …, 2020 | 1 | 2020 |
| SecureRights: A Blockchain-Powered Trusted DRM Framework for Robust Protection and Asserting Digital Rights T Madushanka, DS Kumara, AA Rathnaweera arXiv preprint arXiv:2403.06094, 2024 | | 2024 |
| Negative Sampling in Knowledge Graph Representation Learning: A Review T Madushanka, R Ichise https://arxiv.org/pdf/2402.19195.pdf, 2024 | | 2024 |
| TuckerDNCaching: high-quality negative sampling with tucker decomposition T Madushanka, R Ichise Journal of Intelligent Information Systems 61 (3), 739-763, 2023 | | 2023 |
| Impact of metacognition and age group on contemporary video game interface and gameplay design NN Harischandra, LA Jayakody, T Madusanka 2020 International Research Conference on Smart Computing and Systems …, 2020 | | 2020 |
