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1 Ergebnisse
1
Comparison of CNN-Learned vs. Handcrafted Features for Dete..:
Zoltan Galaz
;
Peter Drotar
;
Jiri Mekyska
...
https://www.frontiersin.org/articles/10.3389/fninf.2022.877139/full. , 2022
Link:
https://doi.org/10.3389/fninf.2022.877139
RT Journal T1 <Title>Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:9fe66452250845afbb081ca3f0a3d20b&Exemplar=1&LAN=DE A1 Zoltan Galaz A1 Peter Drotar A1 Jiri Mekyska A1 Matej Gazda A1 Jan Mucha A1 Vojtech Zvoncak A1 Zdenek Smekal A1 Marcos Faundez-Zanuy A1 Reinel Castrillon A1 Juan Rafael Orozco-Arroyave A1 Steven Rapcsak A1 Tamas Kincses A1 Lubos Brabenec A1 Irena Rektorova PB Frontiers Media S.A. YR 2022 K1 machine learning K1 deep learning K1 feature extraction K1 Parkinson's disease dysgraphia K1 handwriting analysis K1 Neurosciences. Biological psychiatry. Neuropsychiatry K1 RC321-571 JF https://www.frontiersin.org/articles/10.3389/fninf.2022.877139/full LK http://dx.doi.org/https://doi.org/10.3389/fninf.2022.877139 DO https://doi.org/10.3389/fninf.2022.877139 SF ELIB - SuUB Bremen
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