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Identifying Parkinson’s Disease Through the Classification of Audio Recording Data

James Bielby, Stefan Kuhn, Simon Colreavy-Donnelly, Fabio Caraffini Orcid Logo, Stuart O'Connor, Zacharias A. Anastassi

2020 IEEE Congress on Evolutionary Computation (CEC)

Swansea University Author: Fabio Caraffini Orcid Logo

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DOI (Published version): 10.1109/cec48606.2020.9185915

Published in: 2020 IEEE Congress on Evolutionary Computation (CEC)
ISBN: 978-1-7281-6930-9 978-1-7281-6929-3
Published: IEEE 2020
URI: https://cronfa.swan.ac.uk/Record/cronfa60948
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first_indexed 2022-09-12T15:21:20Z
last_indexed 2023-01-13T19:21:27Z
id cronfa60948
recordtype SURis
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spelling 2022-09-12T16:21:32.0919935 v2 60948 2022-08-28 Identifying Parkinson’s Disease Through the Classification of Audio Recording Data d0b8d4e63d512d4d67a02a23dd20dfdb 0000-0001-9199-7368 Fabio Caraffini Fabio Caraffini true false 2022-08-28 SCS Conference Paper/Proceeding/Abstract 2020 IEEE Congress on Evolutionary Computation (CEC) IEEE 978-1-7281-6930-9 978-1-7281-6929-3 3 9 2020 2020-09-03 10.1109/cec48606.2020.9185915 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2022-09-12T16:21:32.0919935 2022-08-28T20:33:44.5104353 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science James Bielby 1 Stefan Kuhn 2 Simon Colreavy-Donnelly 3 Fabio Caraffini 0000-0001-9199-7368 4 Stuart O'Connor 5 Zacharias A. Anastassi 6
title Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
spellingShingle Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
Fabio Caraffini
title_short Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
title_full Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
title_fullStr Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
title_full_unstemmed Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
title_sort Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
author_id_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb
author_id_fullname_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini
author Fabio Caraffini
author2 James Bielby
Stefan Kuhn
Simon Colreavy-Donnelly
Fabio Caraffini
Stuart O'Connor
Zacharias A. Anastassi
format Conference Paper/Proceeding/Abstract
container_title 2020 IEEE Congress on Evolutionary Computation (CEC)
publishDate 2020
institution Swansea University
isbn 978-1-7281-6930-9
978-1-7281-6929-3
doi_str_mv 10.1109/cec48606.2020.9185915
publisher IEEE
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2020-09-03T04:19:28Z
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score 11.013686

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