Interpretable model for artefact detection in local field potentials via feature extraction and decision trees

Fabietti, MI ORCID: https://orcid.org/0000-0003-3093-5985, Mahmud, M ORCID: https://orcid.org/0000-0002-2037-8348, Lotfi, A ORCID: https://orcid.org/0000-0002-5139-6565, Averna, A, Guggenmos, D, Nudo, R and Chiappalone, M, 2022. Interpretable model for artefact detection in local field potentials via feature extraction and decision trees. In: Jansen, T, Jensen, R, Parthaláin, NM and Lin, C-M, eds., Advances in computational intelligence systems: contributions presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Cham: Springer, pp. 288-299. ISBN 9783030870935

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Item Type:	Chapter in book
Description:	Paper presented at the 20th UK Workshop on Computational Intelligence, Aberystwyth, Wales, September 8-10, 2021.
Creators:	Fabietti, M.I., Mahmud, M., Lotfi, A., Averna, A., Guggenmos, D., Nudo, R. and Chiappalone, M.
Publisher:	Springer
Place of Publication:	Cham
Date:	2022
ISBN:	9783030870935
Identifiers:	Number Type 10.1007/978-3-030-87094-2_25 DOI 1565274 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	15 Jul 2022 08:07
Last Modified:	15 Jul 2022 08:07
URI:	https://irep.ntu.ac.uk/id/eprint/46602

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