Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: COVID-19 Detection Using Recorded Coughs in the 2021 DiCOVA Challenge   COVID-19 has resulted in over 100 million infections and caused worldwide
lock downs due to its high transmission rate and limited testing options.
Current diagnostic tests can be expensive, limited in availability,
time-intensive and require risky in-person appointments. It has been
established that symptomatic COVID-19 seriously impairs normal functioning of
the respiratory system, thus affecting the coughing acoustics. The 2021 DiCOVA
Challenge @ INTERSPEECH was designed to find scientific and engineering
insights to the question by enabling participants to analyze an acoustic
dataset gathered from COVID-19 positive and non-COVID-19 individuals. In this
report we describe our participation in the Challenge (Track 1). We achieved
82.37% AUC ROC on the blind test outperforming the Challenge's baseline of
69.85%.

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The categories of this paper are: nucl-th
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The categories of this paper are: q-alg
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The categories of this paper are: nlin
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The categories of this paper are: adap-org
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The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
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The categories of this paper are: hep-ph
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The categories of this paper are: econ
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The categories of this paper are: stat
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The categories of this paper are: cond-mat
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The categories of this paper are: atom-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: dg-ga
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The categories of this paper are: funct-an
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-th