On machine-learned classification of variable stars with sparse and noisy time-series data

Joseph W. Richards, Dan L. Starr, Nathaniel R. Butler, Joshua S. Bloom, John M. Brewer, Arien Crellin-Quick, Justin Higgins, Rachel Kennedy, Maxime Rischard

Research output: Contribution to journalArticlepeer-review

231 Scopus citations

Fingerprint

Dive into the research topics of 'On machine-learned classification of variable stars with sparse and noisy time-series data'. Together they form a unique fingerprint.

Physics & Astronomy

Earth & Environmental Sciences