Light-curve classification with recurrent neural networks for GOTO: dealing with imbalanced data
The advent of wide-field sky surveys has led to the growth of transient and variable source discoveries. The data deluge produced by these surveys has necessitated the use of machine learning (ML) and deep learning (DL) algorithms to sift through the vast incoming data stream. A problem that arises in real-world applications of learning algorithms
Burhanudin, U. F. et al.
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8
2021