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Nuwan Gunasekara

2 accepted papers

2024

Recurrent Concept Drifts on Data Streams

IJCAI 2024poster

In an era where machine learning permeates every facet of human existence, and data evolves incessantly, the application of machine learning models transcends mere data processing. It involves navigating constant changes exemplified by the phenomenon of concept drift, which often affects model perfo…

Cited by 6SourcePDFScholar
2023

Survey on Online Streaming Continual Learning

IJCAI 2023poster

Stream Learning (SL) attempts to learn from a data stream efficiently. A data stream learning algorithm should adapt to input data distribution shifts without sacrificing accuracy. These distribution shifts are known as ”concept drifts” in the literature. SL provides many supervised, semi-supervised…

Cited by 31SourcePDFScholar