Search Results for author: Nikunj C. Oza

Found 2 papers, 0 papers with code

ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier that Validates 301 New Exoplanets

no code implementations19 Nov 2021 Hamed Valizadegan, Miguel Martinho, Laurent S. Wilkens, Jon M. Jenkins, Jeffrey Smith, Douglas A. Caldwell, Joseph D. Twicken, Pedro C. Gerum, Nikash Walia, Kaylie Hausknecht, Noa Y. Lubin, Stephen T. Bryson, Nikunj C. Oza

ExoMiner is a highly accurate, explainable, and robust classifier that 1) allows us to validate 301 new exoplanets from the MAST Kepler Archive and 2) is general enough to be applied across missions such as the on-going TESS mission.

Better Boosting with Bandits for Online Learning

no code implementations16 Jan 2020 Nikolaos Nikolaou, Joseph Mellor, Nikunj C. Oza, Gavin Brown

The outputs of the ensemble need to be properly calibrated before they can be used as probability estimates.

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