Nuwan Gunasekara

Orcid: 0000-0002-7964-6036

According to our database1, Nuwan Gunasekara authored at least 13 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework.
Proceedings of the Advances in Intelligent Data Analysis XXIV, 2026

2025
Gradient boosted bagging for evolving data stream regression.
Data Min. Knowl. Discov., September, 2025

CapyMOA: Efficient Machine Learning for Data Streams in Python.
CoRR, February, 2025

Machine Learning for Data Streams with CapyMOA.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025

Pragmatic Paradigm for Multi-stream Regression.
Proceedings of the Advances in Intelligent Data Analysis XXIII, 2025

Machine Learning on the Fly: A Hands-On Tutorial for Streaming Data.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Gradient boosted trees for evolving data streams.
Mach. Learn., May, 2024

Recurrent Concept Drifts on Data Streams.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Survey on Online Streaming Continual Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Online Hyperparameter Optimization for Streaming Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptive Online Domain Incremental Continual Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Adaptive Neural Networks for Online Domain Incremental Continual Learning.
Proceedings of the Discovery Science - 25th International Conference, 2022

2010
Tuning N-gram String Kernel SVMs via Meta Learning.
Proceedings of the Neural Information Processing. Models and Applications, 2010


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