activity
20112017
most citedRandom forest automated supervised classification of Hipparcos periodic variable stars

173 citations · 375 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.SR2017★ 101 cited

Gaia Data Release 1. Testing the parallaxes with local Cepheids and RR Lyrae stars

Gaia Collaboration, G. Clementini, L. Eyer +588

Parallaxes for 331 classical Cepheids, 31 Type II Cepheids and 364 RR Lyrae stars in common between Gaia and the Hipparcos and Tycho-2 catalogues are published in Gaia Data Release…

astro-ph.IM2017★ 16 cited

Gaia Data Release 1: The variability processing & analysis and its application to the south ecliptic pole region

L. Eyer, N. Mowlavi, D. W. Evans +70

The ESA Gaia mission provides a unique time-domain survey for more than one billion sources brighter than G=20.7 mag. Gaia offers the unprecedented opportunity to study variability…

astro-ph.SR2013★ 45 cited

Automated classification of Hipparcos unsolved variables

L. Rimoldini, P. Dubath, M. Süveges +14

We present an automated classification of stars exhibiting periodic, non-periodic and irregular light variations. The Hipparcos catalogue of unsolved variables is employed to compl…

astro-ph.IM2012★ 38 cited

Search for high-amplitude Delta Scuti and RR Lyrae stars in Sloan Digital Sky Survey Stripe 82 using principal component analysis

M. Süveges, B. Sesar, M. Váradi +9

We propose a robust principal component analysis (PCA) framework for the exploitation of multi-band photometric measurements in large surveys. Period search results are improved us…

astro-ph.SR2011★ 2 cited

Hipparcos Variable Star Detection and Classification Efficiency

P. Dubath, I. Lecoeur-Taïbi, L. Rimoldini +14

A complete periodic star extraction and classification scheme is set up and tested with the Hipparcos catalogue. The efficiency of each step is derived by comparing the results wit…

astro-ph.SR2011★ 173 cited

Random forest automated supervised classification of Hipparcos periodic variable stars

P. Dubath, L. Rimoldini, M. Süveges +14

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…