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Found 4 papers, 2 papers with code
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.
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set
The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) is an open data challenge to classify simulated astronomical time-series data in preparation for observations from the Large Synoptic Survey Telescope (LSST), which will achieve first light in 2019 and commence its 10-year main survey in 2022.
Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets
The amount of collected data in many scientific fields is increasing, all of them requiring a common task: extract knowledge from massive, multi parametric data sets, as rapidly and efficiently possible.
Using conditional entropy to identify periodicity
This paper presents a new period finding method based on conditional entropy that is both efficient and accurate.
Instrumentation and Methods for Astrophysics
