Context. The Kepler spacecraft is providing time series of photometric data with
micromagnitude precision for hundreds of AF type stars. Aims. We present a first general …

Abstract We introduce the Automatic Learning for the Rapid Classification of Events
(ALeRCE) broker, an astronomical alert broker designed to provide a rapid and self …

We present the first version of the Automatic Learning for the Rapid Classification of Events
(ALeRCE) broker light curve classifier. ALeRCE is currently processing the Zwicky Transient …

Asteroseismology involves probing the interiors of stars and quantifying their global
properties, such as radius and age, through observations of normal modes of oscillation …

We present an evaluation of the performance of an automated classification of the Hipparcos
periodic variable stars into 26 types. The sub-sample with the most reliable variability types …

The number of transient events discovered by wide-field time-domain surveys already far
outstrips the combined followup resources of the astronomical community. This number will …

The improvement of observation capabilities has expanded the scale of new data available
for time domain astronomy research, and the accumulation of observational data continues …

Advances in Machine Learning and Data Mining for Astronomy Page 1 W ay, Scargle, Chapman
& Hall/CRC Data Mining and Knowledge Discovery Series Advances in Machine Learning …

With growing data volumes from synoptic surveys, astronomers necessarily must become
more abstracted from the discovery and introspection processes. Given the scarcity of follow …

We present a machine learning package for the classification of periodic variable stars. Our
package is intended to be general: it can classify any single band optical light curve …