Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier
  that Validates 301 New Exoplanets   The kepler and TESS missions have generated over 100,000 potential transit
signals that must be processed in order to create a catalog of planet
candidates. During the last few years, there has been a growing interest in
using machine learning to analyze these data in search of new exoplanets.
Different from the existing machine learning works, ExoMiner, the proposed deep
learning classifier in this work, mimics how domain experts examine diagnostic
tests to vet a transit signal. 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. We perform an extensive experimental study to
verify that ExoMiner is more reliable and accurate than the existing transit
signal classifiers in terms of different classification and ranking metrics.
For example, for a fixed precision value of 99%, ExoMiner retrieves 93.6% of
all exoplanets in the test set (i.e., recall=0.936) while this rate is 76.3%
for the best existing classifier. Furthermore, the modular design of ExoMiner
favors its explainability. We introduce a simple explainability framework that
provides experts with feedback on why ExoMiner classifies a transit signal into
a specific class label (e.g., planet candidate or not planet candidate).

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The categories of this paper are: cond-mat
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
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The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
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The categories of this paper are: adap-org
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The categories of this paper are: dg-ga
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The categories of this paper are: nlin
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The categories of this paper are: q-fin
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The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: nucl-ex
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The categories of this paper are: physics
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The categories of this paper are: supr-con
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The categories of this paper are: eess