Deepstreamensemble: streaming adaptation to concept drift in deep neural networks

L Chambers, MM Gaber, H Ghomeshi - International Journal of Machine …, 2025 - Springer
Data streams typically evolve over time, manifesting concept drift, and are applied to Deep
Neural Networks (DNNs). However, DNNs are predominantly not designed to adapt …

Online learning for streaming data classification in nonstationary environments

Y Gai, K Meng, X Wang - … Analysis and Data Mining: The ASA …, 2024 - Wiley Online Library
In this article, we implement the classification of nonstationary streaming data. Due to the
inability to obtain full data in the context of streaming data, we adopt a strategy based on …

[HTML][HTML] A Streaming Approach to Data Discrepancy Detection and Adaptation in Deep Neural Networks

L Chambers - 2024 - open-access.bcu.ac.uk
Deep learning has achieved remarkable success over the last ten years. However, keeping
Deep Neural Networks (DNNs) up to date with changing data remains at the forefront of …