57 citations · 173 across the 7 of their papers we have counts for
10 papers
TCuPGAN: A novel framework developed for optimizing human-machine interactions in citizen science
Ramanakumar Sankar, Kameswara Mantha, Lucy Fortson +8
In the era of big data in scientific research, there is a necessity to leverage techniques which reduce human effort in labeling and categorizing large datasets by involving sophis…
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
Kameswara Bharadwaj Mantha, Ramanakumar Sankar, Yuping Zheng +11
Many scientific domains gather sufficient labels to train machine algorithms through human-in-the-loop techniques provided by the Zooniverse.org citizen science platform. As the ra…
Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning
S Soni, C P L Berry, S B Coughlin +18
The observation of gravitational waves is hindered by the presence of transient noise (glitches). We study data from the third observing run of the Advanced LIGO detectors, and ide…
Planet Hunters TESS II: Findings from the first two years of TESS
Nora L. Eisner, Oscar Barragán, Chris Lintott +23
We present the results from the first two years of the Planet Hunters TESS citizen science project, which identifies planet candidates in the TESS data by engaging members of the g…
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…
Optimizing the Human-Machine Partnership with Zooniverse
Lucy Fortson, Darryl Wright, Chris Lintott +1
Over the past decade, Citizen Science has become a proven method of distributed data analysis, enabling research teams from diverse domains to solve problems involving large quanti…