Publications

Nuwan Gunasekara, Bernhard Pfahringer, Heitor Gomes, Albert Bifet (2025). Gradient boosted bagging for evolving data stream regression. Data Mining and Knowledge Discovery.
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Nuwan Gunasekara, Sławomir Nowaczyk, Sepideh Pashami (2025). Pragmatic Paradigm for Multi-stream Regression. International Symposium on Intelligent Data Analysis.
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Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Yibin Sun, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vitor Cerqueira, Maroua Bahri, Yun Sing Koh, Others (2025). CapyMOA: Efficient Machine Learning for Data Streams in Python. arXiv preprint arXiv:2502.07432.
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Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing (2024). Recurrent concept drifts on data streams. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24.
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Nuwan Gunasekara, Bernhard Pfahringer, Heitor Gomes, Albert Bifet (2024). Gradient boosted trees for evolving data streams. Machine Learning.
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Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet (2023). Survey on online streaming continual learning. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence.
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Nuwan Amila Gunasekara (2023). Advanced Adaptive Classifier Methods for Data Streams.
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Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet (2022). Online hyperparameter optimization for streaming neural networks. 2022 international joint conference on neural networks (IJCNN).
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Nuwan Gunasekara, Heitor Gomes, Albert Bifet, Bernhard Pfahringer (2022). Adaptive online domain incremental continual learning. International Conference on Artificial Neural Networks.
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Nuwan Gunasekara, Shaoning Pang, Nikola Kasabov (2010). Tuning n-gram string kernel SVMs via meta learning. International Conference on Neural Information Processing.
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