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20082025
most citedGravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science

335 citations · 540 across the 13 of their papers we have counts for

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Showing astro-ph.IMShow all

6 papers · 1 filter

astro-ph.IM2024

Workforce Development in Astronomy and Astroinformatics

Kartik Sheth, Kevin Govender, Vanessa McBride +8

Policy Brief on "Workforce Development in Astronomy and Astroinformatics", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astr…

astro-ph.IM2024★ 1 cited

AstroInformatics: Recommendations for Global Cooperation

Ashish Mahabal, Pranav Sharma, Rana Adhikari +45

Policy Brief on "AstroInformatics, Recommendations for Global Collaboration", distilled from panel discussions during S20 Policy Webinar on Astroinformatics for Sustainable Develop…

astro-ph.IM2020

Survey of Gravitationally-lensed Objects in HSC Imaging (SuGOHI). VI. Crowdsourced lens finding with Space Warps

Alessandro Sonnenfeld, Aprajita Verma, Anupreeta More +19

Strong lenses are extremely useful probes of the distribution of matter on galaxy and cluster scales at cosmological distances, but are rare and difficult to find. The number of cu…

astro-ph.IM2019

Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan"

J. Amundson, J. Annis, C. Avestruz +27

We present a response to the 2018 Request for Information (RFI) from the NITRD, NCO, NSF regarding the "Update to the 2016 National Artificial Intelligence Research and Development…

astro-ph.IM2019

Classifying the unknown: discovering novel gravitational-wave detector glitches using similarity learning

S B Coughlin, S Bahaadini, N Rohani +17

The observation of gravitational waves from compact binary coalescences by LIGO and Virgo has begun a new era in astronomy. A critical challenge in making detections is determining…

astro-ph.IM2017★ 51 cited

A transient search using combined human and machine classifications

Darryl E. Wright, Chris J. Lintott, Stephen J. Smartt +22

Large modern surveys require efficient review of data in order to find transient sources such as supernovae, and to distinguish such sources from artefacts and noise. Much effort h…