most citedA Machine Learning Approach For Classifying Low-mass X-ray Binaries Based On Their Compact Object Nature

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.IM2021

Light curve fingerprints: an automated approach to the extraction of X-ray variability patterns with feature aggregation -- an example application to GRS 1915+105

Jakub K. Orwat-Kapola, Antony J. Bird, Adam B. Hill +2

Time series data mining is an important field of research in the era of "Big Data". Next generation astronomical surveys will generate data at unprecedented rates, creating the nee…

astro-ph.HE2020★ 11 cited

A Machine Learning Approach For Classifying Low-mass X-ray Binaries Based On Their Compact Object Nature

R. Pattnaik, K. Sharma, K. Alabarta +5

Low Mass X-ray binaries (LMXBs) are binary systems where one of the components is either a black hole or a neutron star and the other is a less massive star. It is challenging to u…