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A comparison of machine learning techniques for the detection of type-4 photoparoxysmal responses in electroencephalographic signals
| dc.contributor.author | Moncada Martins, Fernando | |
| dc.contributor.author | González Suárez, Víctor Manuel | |
| dc.contributor.author | García, Beatriz | |
| dc.contributor.author | Álvarez García, Víctor Manuel | |
| dc.contributor.author | Villar Flecha, José Ramón | |
| dc.date.accessioned | 2023-03-02T09:29:14Z | |
| dc.date.available | 2023-03-02T09:29:14Z | |
| dc.date.issued | 2022 | |
| dc.identifier.isbn | 9783031154706 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | http://hdl.handle.net/10651/66563 | |
| dc.description | International Conference on Hybrid Artificial Intelligence Systems, HAIS 2022 (17th. 2022. Salamanca, Spain) | |
| dc.description.sponsorship | Spanish Ministry of Economics and Industry [PID2020-112726RB-I00]; Spanish Research Agency (AEI, Spain) [RED2018-102312-T]; Ministry of Science and Innovation [CER-20211003, MIG-20211008]; Principado de Asturias [SV-PA-21-AYUD/2021/50994] | |
| dc.format.extent | p. 3-13 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) | |
| dc.relation.ispartofseries | Lecture Notes in Computer Science; v. 13469 | |
| dc.rights | © 2022 Springer Nature Switzerland AG | |
| dc.rights | CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138992499&doi=10.1007%2f978-3-031-15471-3_1&partnerID=40&md5=8a528a7df9f5d3c4d0bc75109b77179c | |
| dc.title | A comparison of machine learning techniques for the detection of type-4 photoparoxysmal responses in electroencephalographic signals | |
| dc.type | conference output | spa |
| dc.identifier.doi | 10.1007/978-3-031-15471-3_1 | |
| dc.relation.projectID | MINECO/PID2020-112726RB-I00 | |
| dc.relation.projectID | AEI/RED2018-102312-T | |
| dc.relation.projectID | MCIN/CER-20211003, | |
| dc.relation.projectID | MICIN/MIG-20211008 | |
| dc.relation.projectID | SV-PA-21-AYUD/2021/50994 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1007/978-3-031-15471-3_1 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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