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Statistical Design and Analysis for Robust Machine Learning: A Case
  Study from COVID-19

Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19

15 December 2022
D. Pigoli
Kieran Baker
Jobie Budd
L. Butler
H. Coppock
Sabrina Egglestone
S. Gilmour
Chris Holmes
David Hurley
R. Jersakova
Ivan Kiskin
Vasiliki Koutra
J. Mellor
G. Nicholson
Joe Packham
Selina Patel
Richard D. Payne
Stephen J. Roberts
Björn W. Schuller
Ana Tendero Cañadas
T. Thornley
Alexander Titcomb
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Papers citing "Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19"

2 / 2 papers shown
Title
Audio-based AI classifiers show no evidence of improved COVID-19
  screening over simple symptoms checkers
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
H. Coppock
G. Nicholson
Ivan Kiskin
Vasiliki Koutra
Kieran Baker
...
Björn W. Schuller
D. Pigoli
S. Gilmour
Stephen J. Roberts
Chris Holmes
54
24
0
15 Dec 2022
A large-scale and PCR-referenced vocal audio dataset for COVID-19
A large-scale and PCR-referenced vocal audio dataset for COVID-19
Jobie Budd
Kieran Baker
E. Karoune
H. Coppock
Selina Patel
...
D. Pigoli
Stephen J. Roberts
Josef Packham
T. Thornley
Chris Holmes
32
5
0
15 Dec 2022
1