SoliDAIR latent classification dataset v2 for UC BRO
EC| SoliDAIR
Fraunhofer Institute for Manufacturing Engineering and Automation;
SoliDAIR latent classification dataset v2 for UC BRO
SoliDAIR latent classification dataset v2 for UC BRO. Multidimensional arrays (feature vectors) of deep neural network trained on the original image data provided by Brose Fahrzeugteile SE. Said features and provided labels can be used to evaluate performance of classification algorithms under severe data imbalance.
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average
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