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Software . 2020
License: https://opensource.org/licenses/MIT
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Software . 2021
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DIVal Library

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Oct 2020 English Publisher:Zenodo
Authors: Leuschner, Johannes (10102798); Schmidt, Maximilian (10102801); Otero Baguer, Daniel (10102804); Erzmann, David (10102807); Baltazar, Mateus (10102810);

doi: 10.5281/zenodo.4503475 , 10.5281/zenodo.4121947 , 10.5281/zenodo.4428220

Abstract

Deep Inversion Validation Library The source code repository is hosted at https://github.com/jleuschn/dival. Documentation is available at https://jleuschn.github.io/docs.dival. It can be installed from PyPI via pip install dival

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Keywords

machine learning, Ecology, Chemical Sciences not elsewhere classified, Science Policy, Environmental Sciences not elsewhere classified, deep learning, computed tomography, Cell Biology, image reconstruction, Microbiology, Biological Sciences not elsewhere classified

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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