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Found 3 papers, 1 papers with code
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.
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier
We present a real-time stamp classifier of astronomical events for the ALeRCE (Automatic Learning for the Rapid Classification of Events) broker.
Scalable End-to-end Recurrent Neural Network for Variable star classification
Our method uses minimal data preprocessing, can be updated with a low computational cost for new observations and light curves, and can scale up to massive datasets.
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