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Talia B. Kimber
ORCID
Publication Activity (10 Years)
Years Active: 2018-2022
Publications (10 Years): 4
Top Topics
Protein Structure Prediction
Open Source
Deep Learning
Convolutional Neural Networks
Top Venues
CoRR
J. Comput. Aided Mol. Des.
Nucleic Acids Res.
ICANN (Workshop)
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Publications
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Dominique Sydow
,
Jaime Rodríguez-Guerra
,
Talia B. Kimber
,
David Schaller
,
Corey J. Taylor
,
Yonghui Chen
,
Mareike Leja
,
Sakshi Misra
,
Michele Wichmann
,
Armin Ariamajd
,
Andrea Volkamer
TeachOpenCADD 2022: open source and FAIR Python pipelines to assist in structural bioinformatics and cheminformatics research.
Nucleic Acids Res.
50 (W1) (2022)
Henry E. Webel
,
Talia B. Kimber
,
Silke Radetzki
,
Martin Neuenschwander
,
Marc Nazaré
,
Andrea Volkamer
Revealing cytotoxic substructures in molecules using deep learning.
J. Comput. Aided Mol. Des.
34 (7) (2020)
Igor V. Tetko
,
Pavel Karpov
,
Eric Bruno
,
Talia B. Kimber
,
Guillaume Godin
Augmentation Is What You Need!
ICANN (Workshop)
(2019)
Talia B. Kimber
,
Sebastian Engelke
,
Igor V. Tetko
,
Eric Bruno
,
Guillaume Godin
Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction.
CoRR
(2018)