924 citations · 3.6k across the 44 of their papers we have counts for
5 papers · 1 filter
Classification by Boosting Differences in Input Vectors: An application to datasets from Astronomy
N. S. Philip, A. Mahabal, S. Abraham. R. Williams +4
There are many occasions when one does not have complete information in order to classify objects into different classes, and yet it is important to do the best one can since other…
Flashes in a Star Stream: Automated Classification of Astronomical Transient Events
S. G. Djorgovski, A. A. Mahabal, C. Donalek +4
An automated, rapid classification of transient events detected in the modern synoptic sky surveys is essential for their scientific utility and effective follow-up using scarce re…
Data challenges of time domain astronomy
Matthew J. Graham, S. G. Djorgovski, Ashish Mahabal +3
Astronomy has been at the forefront of the development of the techniques and methodologies of data intensive science for over a decade with large sky surveys and distributed effort…
Connecting the time domain community with the Virtual Astronomical Observatory
Matthew J. Graham, S. G. Djorgovski, Ciro Donalek +5
The time domain has been identified as one of the most important areas of astronomical research for the next decade. The Virtual Observatory is in the vanguard with dedicated tools…
CLaSPS: a new methodology for Knowledge extraction from complex astronomical dataset
R. D'Abrusco, G. Fabbiano, G. Djorgovski +3
In this paper we present the Clustering-Labels-Score Patterns Spotter (CLaSPS), a new methodology for the determination of correlations among astronomical observables in complex da…