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Found 3 papers, 1 papers with code
On a Generalized Framework for Time-Aware Knowledge Graphs
Knowledge graphs have emerged as an effective tool for managing and standardizing semistructured domain knowledge in a human- and machine-interpretable way.
Explaining Convolutional Neural Networks by Tagging Filters
Finally, we show that the tags are helpful in analyzing classification errors caused by noisy input images and that the tags can be further processed by machines.
Making Neural Networks FAIR
In this paper, we first present the neural network ontology FAIRnets Ontology, an ontology to make existing neural network models findable, accessible, interoperable, and reusable according to the FAIR principles.
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