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Virtual reality and machine learning in the automatic photoparoxysmal response detection

dc.contributor.authorMoncada Martins, Fernando 
dc.contributor.authorMartín, Sofía
dc.contributor.authorGonzález, V. M.
dc.contributor.authorÁlvarez García, Víctor Manuel 
dc.contributor.authorGarcía López, B.
dc.contributor.authorGómez Menéndez, A. I.
dc.contributor.authorVillar Flecha, José Ramón 
dc.date.accessioned2022-10-25T11:10:29Z
dc.date.available2022-10-25T11:10:29Z
dc.date.issued2023
dc.identifier.citationNeural Computing and Applications, 35, p. 5643-5659 (2023); doi:10.1007/s00521-022-06940-z
dc.identifier.issn0941-0643
dc.identifier.urihttp://hdl.handle.net/10651/65145
dc.description.sponsorshipThis research has been funded by the Spanish Ministry of Science and Innovation under project MINECO-TIN2017-84804-R, PID2020-112726RB-I00 and the State Research Agency (AEI, Spain) under grant agreement No RED2018-102312-T (IA-Biomed). Additionally, by the Council of Gijón through the University Institute of Industrial Technology of Asturias grant SV-21-GIJON-1-19.
dc.format.extentp. 5643-5659
dc.language.isoeng
dc.relation.ispartofNeural computing and applications
dc.rights© 2022 Los autores
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85123836068&doi=10.1007%2fs00521-022-06940-z&partnerID=40&md5=4b1a5a57e8af369a9f11a497a5e46b89
dc.titleVirtual reality and machine learning in the automatic photoparoxysmal response detection
dc.typejournal article
dc.identifier.doi10.1007/s00521-022-06940-z
dc.local.notesOA ATUO22
dc.relation.projectIDMINECO-TIN2017-84804-R
dc.relation.projectIDMICINN/PID2020-112726RB-I00
dc.relation.projectIDAEI/RED2018-102312-T
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s00521-022-06940-z
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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