Publication:

Select for better learning: identifying high-quality training data for a multimodal cyclic transformer

Date

2025-APR 1
Journal article
https://doi.org/10.1088/1741-2552/adbec0
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dc.contributor.authorZhang, Jingwei
dc.contributor.authorLiu, Zhaoyi
dc.contributor.authorChatzichristos, Christos
dc.contributor.authorMichiels, Sam
dc.contributor.authorVan Paesschen, Wim
dc.contributor.authorHughes, Danny
dc.contributor.authorDe Vos, Maarten
dc.date.accessioned2025-04-01T06:43:18Z
dc.date.available2025-04-01T06:43:18Z
dc.date.issued2025-APR 1
dc.description.wosFundingTextThe authors would like to thank all the patients who participated in this research. This study was funded by the EIT Health Grant: 21263 SeizeIT2 (Discreet Personalized Epileptic Seizure Detection Device). The research also received support from the following Projects: FWO SB Project 'Supporting the Development of Self-Regulation in Infants: A Promising Strategy in Preventive Mental Health Care' (S003524N), FWO Research Project 'Artificial Intelligence (AI) for Data-Driven Personalized Medicine' (G0C9623N), FWO Research Project 'Deep, Personalized Epileptic Seizure Detection' (G0D8321N), and the Bijzonder Onderzoeksfonds KU Leuven (BOF) project 'Prevalentie van epilepsie en slaapstoornissen in de ziekte van Alzheimer' (C24/18/097). Additionally, this research was funded by the Flemish Government's AI Research Program.
dc.identifier.doi10.1088/1741-2552/adbec0
dc.identifier.issn1741-2560
dc.identifier.pmidMEDLINE:40064111
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45473
dc.publisherIOP Publishing Ltd
dc.source.issue2
dc.source.journalJOURNAL OF NEURAL ENGINEERING
dc.source.numberofpages11
dc.source.volume22
dc.subject.keywordsDEEP
dc.subject.keywordsEEG
dc.title

Select for better learning: identifying high-quality training data for a multimodal cyclic transformer

dc.typeJournal article
dspace.entity.typePublication
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