| Survey on Online Streaming Continual Learning. N Gunasekara, B Pfahringer, HM Gomes, A Bifet IJCAI, 6628-6637, 2023 | 22 | 2023 |
| Online hyperparameter optimization for streaming neural networks N Gunasekara, HM Gomes, B Pfahringer, A Bifet 2022 international joint conference on neural networks (IJCNN), 1-9, 2022 | 11 | 2022 |
| Gradient boosted trees for evolving data streams N Gunasekara, B Pfahringer, H Gomes, A Bifet Machine Learning 113 (5), 3325-3352, 2024 | 10 | 2024 |
| Adaptive online domain incremental continual learning N Gunasekara, H Gomes, A Bifet, B Pfahringer International Conference on Artificial Neural Networks, 491-502, 2022 | 9 | 2022 |
| Adaptive neural networks for online domain incremental continual learning N Gunasekara, H Gomes, A Bifet, B Pfahringer International Conference on Discovery Science, 89-103, 2022 | 8 | 2022 |
| Meta learning on string kernel SVMs for string categorization NA Gunasekara Auckland University Of Technology, 2010 | 4 | 2010 |
| Recurrent concept drifts on data streams N Gunasekara, B Pfahringer, HM Gomes, A Bifet, Y Sing Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 3 | 2024 |
| Advanced Adaptive Classifier Methods for Data Streams NA Gunasekara The University of Waikato, 2023 | 1 | 2023 |
| CapyMOA: Efficient Machine Learning for Data Streams in Python HM Gomes, A Lee, N Gunasekara, Y Sun, GW Cassales, J Liu, M Heyden, ... arXiv preprint arXiv:2502.07432, 2025 | | 2025 |
| Tuning n-gram string kernel SVMs via meta learning N Gunasekara, S Pang, N Kasabov Neural Information Processing. Models and Applications: 17th International …, 2010 | | 2010 |
