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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Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions (bibtex)
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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members:golkov

Dr. Vladimir Golkov

Postdoctoral ResearcherTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17777
Fax: +49-89-289-17757
Office: 02.09.061
Mail: vladimir.golkov@tum.de

Students who did projects under my supervision went on to become PhD students of Prof. Cremers, Prof. Navab, Prof. Rost, Prof. Nießner, Prof. Haddadin, Prof. Precup, Prof. Razansky, Prof. Ntziachristos (with Prof. van der Smagt), Prof. Griffin & Prof. Kleinberg, Prof. Van Gool, Prof. Schindler, Prof. Liò, Prof. Theis, and others.

Quick links: C++, Matlab (without password), Python, NumPy, best coding practices, software craftsmanship, student projects, mathematical image processing (free access through TUM), proximal algorithms, biology, literature network 1 2, research and scientific writing 1 2 3, thesis guide, soft skills manual for students, TUM Career Guide for International Students, TUM Career Manual, PhD scholarships 1 2 3 4 etc., conferences, Ten Simple Rules series

Grant support: Deutsche Telekom Foundation