activity
20182022
most citedSystematic Serendipity: A Test of Unsupervised Machine Learning as a Method for Anomaly Detection

50 citations · 98 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2022★ 7 cited

Searching the SETI Ellipsoid with Gaia

James R. A. Davenport, Barbara Cabrales, Sofia Sheikh +4

The SETI Ellipsoid is a geometric method for prioritizing technosignature observations based on the strategy of receiving signals synchronized to conspicuous astronomical events. P…

astro-ph.SR2020★ 1 cited

RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks

J. Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan +6

Magnetic activity in stars manifests as dark spots on their surfaces that modulate the brightness observed by telescopes. These light curves contain important information on stella…

astro-ph.SR2020★ 24 cited

A method for finding anomalous astronomical light curves and their analogs

Juan Rafael Martínez-Galarza, Federica Bianco, Dennis Crake +4

Our understanding of the Universe has profited from deliberate, targeted studies of known phenomena, as well as from serendipitous, unexpected discoveries, such as the discovery of…

astro-ph.IM2020★ 16 cited

Density Based Outlier Scoring on Kepler Data

Daniel Giles, Lucianne Walkowicz

In the present era of large scale surveys, big data presents new challenges to the discovery process for anomalous data. Such data can be indicative of systematic errors, extreme (…

astro-ph.IM2018★ 50 cited

Systematic Serendipity: A Test of Unsupervised Machine Learning as a Method for Anomaly Detection

Daniel Giles, Lucianne Walkowicz

Advances in astronomy are often driven by serendipitous discoveries. As survey astronomy continues to grow, the size and complexity of astronomical databases will increase, and the…