Valizadegan, Hamed http://orcid.org/0000-0001-6732-0840
Martinho, Miguel J. S. http://orcid.org/0000-0002-2188-0807
Wilkens, Laurent S. http://orcid.org/0000-0001-9508-2739
Jenkins, Jon M. http://orcid.org/0000-0002-4715-9460
Smith, Jeffrey C. http://orcid.org/0000-0002-6148-7903
Caldwell, Douglas A. http://orcid.org/0000-0003-1963-9616
Twicken, Joseph D. http://orcid.org/0000-0002-6778-7552
Gerum, Pedro C. L. http://orcid.org/0000-0001-5019-7508
Walia, Nikash http://orcid.org/0000-0002-2715-374X
Hausknecht, Kaylie http://orcid.org/0000-0001-5064-4283
Lubin, Noa Y. http://orcid.org/0000-0001-5428-262X
Bryson, Stephen T. http://orcid.org/0000-0003-0081-1797
Oza, Nikunj C. http://orcid.org/0000-0002-5987-1033
Funding for this research was provided by:
NASA ∣ Ames Research Center (NNA16BD14C)
NASA ∣ Ames Research Center (80NSSC21M0079)
Article Title: ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets
Journal Title: The Astrophysical Journal
Article Type: paper
Copyright Information: © 2022. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2021-06-03
Date Accepted: 2021-11-12
Online publication date: 2022-02-17