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Found 2 papers, 1 papers with code
Distinguishing a planetary transit from false positives: a Transformer-based classification for planetary transit signals
Models, such as the Transformer architecture, were recently proposed for sequential data with successful results.
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift
Consequently, we propose a scalable and easily adaptable approach based on an informative regularization and an ad-hoc training procedure to mitigate the shift problem during the training of a multi-layer perceptron for RR Lyrae classification.
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