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1 Ergebnisse
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Development of Deep Learning approaches to predict relation..:
, In:
2022 International Joint Conference on Neural Networks (IJCNN)
,
Capela, Joao
;
Correia, Joao
;
Pereira, Vitor
. - p. 1-8 , 2022
Link:
https://doi.org/10.1109/IJCNN55064.2022.9891992
RT T1
2022 International Joint Conference on Neural Networks (IJCNN)
: T1
Development of Deep Learning approaches to predict relationships between chemical structures and sweetness
UL https://suche.suub.uni-bremen.de/peid=ieee-9891992&Exemplar=1&LAN=DE A1 Capela, Joao A1 Correia, Joao A1 Pereira, Vitor A1 Rocha, Miguel YR 2022 SN 2161-4407 K1 Deep learning K1 Toxicology K1 Pipelines K1 Neural networks K1 Predictive models K1 Data models K1 Sugar industry K1 Machine Learning K1 Deep Learning K1 Computational Chemistry K1 Sweeteners SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN55064.2022.9891992 DO https://doi.org/10.1109/IJCNN55064.2022.9891992 SF ELIB - SuUB Bremen
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