22 citations · 63 across the 8 of their papers we have counts for
8 papers
Characteristics of Kepler Eclipsing Binaries Displaying a Significant O'Connell Effect
Matthew F. Knote, Saida M. Caballero-Nieves, Vayujeet Gokhale +2
The O'Connell effect - the presence of unequal maxima in eclipsing binaries - remains an unsolved riddle in the study of close binary systems. The Kepler space telescope produced h…
Advanced Astroinformatics for Variable Star Classification
Kyle Burton Johnston
This project outlines the complete development of a variable star classification algorithm methodology. With the advent of Big-Data in astronomy, professional astronomers are left…
Variable Star Classification Using Multi-View Metric Learning
K. B. Johnston, S. M. Caballero-Nieves, V. Petit +2
Our multi-view metric learning framework enables robust characterization of star categories by directly learning to discriminate in a multi-faceted feature space, thus, eliminating…
A Detection Metric Designed for O'Connell Effect Eclipsing Binaries
Kyle B. Johnston, Rana Haber, Saida M. Caballero-Nieves +3
We present the construction of a novel time-domain signature extraction methodology and the development of a supporting supervised pattern detection algorithm. We focus on the targ…
Generation of a Supervised Classification Algorithm for Time-Series Variable Stars with an Application to the LINEAR Dataset
Kyle B Johnston, Hakeem M Oluseyi
With the advent of digital astronomy, new benefits and new problems have been presented to the modern day astronomer. While data can be captured in a more efficient and accurate ma…
Variable Star Signature Classification using Slotted Symbolic Markov Modeling
Kyle B. Johnston, Adrian M. Peter
With the advent of digital astronomy, new benefits and new challenges have been presented to the modern day astronomer. No longer can the astronomer rely on manual processing, inst…