Harry Coppock

Harry Coppock

Imperial College London

H-index: 6

Europe-United Kingdom

About Harry Coppock

Harry Coppock, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Deep Learning, Signal Processing, Audio, Representation Learning, Quantisation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers

Ecology & computer audition: Applications of audio technology to monitor organisms and environment

Audio barlow twins: Self-supervised audio representation learning

A summary of the ComParE COVID-19 challenges

Artificial intelligence in COVID-19

Statistical design and analysis for robust machine learning: a case study from COVID-19

A large-scale and PCR-referenced vocal audio dataset for COVID-19

The ACM multimedia 2022 computational paralinguistics challenge: Vocalisations, stuttering, activity, & mosquitoes

Harry Coppock Information

University

Position

___

Citations(all)

295

Citations(since 2020)

295

Cited By

3

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Harry Coppock Skills & Research Interests

Deep Learning

Signal Processing

Audio

Representation Learning

Quantisation

Top articles of Harry Coppock

Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers

Nature Machine Intelligence

2024/2/7

Ecology & computer audition: Applications of audio technology to monitor organisms and environment

2023/12/2

Yi Chang
Yi Chang

H-Index: 14

Harry Coppock
Harry Coppock

H-Index: 1

Audio barlow twins: Self-supervised audio representation learning

2023/6/4

Harry Coppock
Harry Coppock

H-Index: 1

Artificial intelligence in COVID-19

2023/1/1

Harry Coppock
Harry Coppock

H-Index: 1

Statistical design and analysis for robust machine learning: a case study from COVID-19

arXiv preprint arXiv:2212.08571

2022/12/15

The ACM multimedia 2022 computational paralinguistics challenge: Vocalisations, stuttering, activity, & mosquitoes

2022/10/10

Evaluating the covid-19 identification resnet (cider) on the interspeech covid-19 from audio challenges

Frontiers in digital health

2022/7/7

Climate change & computer audition: A call to action and overview on audio intelligence to help save the planet

arXiv preprint arXiv:2203.06064

2022/3/10

Yi Chang
Yi Chang

H-Index: 14

Harry Coppock
Harry Coppock

H-Index: 1

Bias and privacy in AI's cough-based COVID-19 recognition–Authors' reply

The Lancet Digital Health

2021/12/1

COVID-19 detection from audio: seven grains of salt

The Lancet Digital Health

2021/9/1

Detecting COVID-19 from breathing and coughing sounds using deep neural networks

2021/6/7

Harry Coppock
Harry Coppock

H-Index: 1

End-2-end covid-19 detection from breath & cough audio

arXiv preprint arXiv:2102.08359

2021/1/7

See List of Professors in Harry Coppock University(Imperial College London)

Co-Authors

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