| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0002045> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0002819> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0008794> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0011906> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0013958> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0021422> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0021428> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0032285> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0032300> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0035035> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0035036> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0035037> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0035149> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0040405> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0042283> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0042284> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0087130> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0237828> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0600352> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0817096> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0870951> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C0887898> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C2350050> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C3714636> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C4704761> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C5200802> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/34143745_HAS_TOPIC_C5392141>
?:authorAffiliation	[]
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Dong_Shunjie> <https://research.tib.eu/covid-19/entity/Fu_Yu> <https://research.tib.eu/covid-19/entity/Tian_Mei> <https://research.tib.eu/covid-19/entity/Yang_Qianqian> <https://research.tib.eu/covid-19/entity/Zhuo_Cheng>
?:doi	10.1109/TNNLS.2021.3086570
?:doi	<https://research.tib.eu/covid-19/entity/10.1109/TNNLS.2021.3086570>
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article> <https://research.tib.eu/covid-19/entity/Research_Support%2C_Non-U.S._Gov%27t>
?:journal	IEEE transactions on neural networks and learning systems
is ?:pmid of	<https://research.tib.eu/covid-19/entity/34143745>
?:pmid	<https://research.tib.eu/covid-19/entity/34143745>
?:pmid	34143745
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	3.406
?:rankingScore_hIndex	169
?:title	RCoNet: Deformable Mutual Information Maximization and High-Order Uncertainty-Aware Learning for Robust COVID-19 Detection.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2021

Metadata

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