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Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions (bibtex)
by V. Golkov, A. Becker, D. T. Plop, D. Čuturilo, N. Davoudi, J. Mendenhall, R. Moretti, J. Meiler and D. Cremers
Reference:
Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions (V. Golkov, A. Becker, D. T. Plop, D. Čuturilo, N. Davoudi, J. Mendenhall, R. Moretti, J. Meiler and D. Cremers), In arXiv preprint arXiv:2007.07029, 2020.
Bibtex Entry:
@article{Golkov-et-al-2020-ROC,
author = {V. Golkov and A. Becker and D. T. Plop and D. Čuturilo and N. Davoudi and J. Mendenhall and R. Moretti and J. Meiler and D. Cremers},
title = {Deep Learning for Virtual Screening: Five Reasons to Use {ROC} Cost Functions},
year = {2020},
journal = {arXiv preprint arXiv:2007.07029},
eprint = {2007.07029},
eprinttype = {arXiv},
keywords = {deep learning, drug discovery, virtual screening, neural networks, machine learning, QSAR, classification, receiver operating characteristic, biology, chemistry},
}
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