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1 Ergebnisse
1
FATE: Feature-Agnostic Transformer-based Encoder for learni..:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Weijler, Lisa
;
Kowarsch, Florian
;
Reiter, Michael
... - p. 7941-7949 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00777
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10483581&Exemplar=1&LAN=DE A1 Weijler, Lisa A1 Kowarsch, Florian A1 Reiter, Michael A1 Hermosilla, Pedro A1 Maurer-Granofszky, Margarita A1 Dworzak, Michael YR 2024 SN 2642-9381 K1 Training K1 Analytical models K1 Microprocessors K1 Data acquisition K1 Computer architecture K1 Transformers K1 Data models K1 Applications K1 Biomedical / healthcare / medicine K1 Algorithms K1 Machine learning architectures K1 formulations K1 and algorithms SP 7941 OP 7949 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00777 DO https://doi.org/10.1109/WACV57701.2024.00777 SF ELIB - SuUB Bremen
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