works on
autoencoders 1fast radio bursts 1morphological classification 1radio astronomy 1repeatability 1unsupervised learning 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

astro-ph.HE2026

Semi-supervised morphological classification of fast radio bursts from the second CHIME/FRB catalogue

Bo Lin Fan, Renée Hložek, Antonio Herrera Martin

The paper introduces a convolutional autoencoder–based unsupervised classifier to group fast radio bursts from the CHIME/FRB catalogue into morphological classes and to predict rep…