Valery Tkachenko
Computational Theory and Mathematics · 2011–2017
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 59 citations into it; #11,929 of 12,182 by trust here, #3,562 by citations
- Molecular Biology — 41 citations into it; #16,944 of 17,773 by trust here, #12,008 by citations
- Computational Chemistry & Drug Discovery — 22 citations into it
- Materials Chemistry — 17 citations into it
- Spectroscopy — 17 citations into it
- Artificial Intelligence — 11 citations into it
- Biomedical Engineering — 6 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Valery Tkachenko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John B. O. Mitchell
- R. Caruana
- Tudor I. Oprea
- Alessandro Lusci
- Igor I. Baskin
- Seonwoo Min
- Andreas Mayr
- Christof Angermueller
- Alexios Koutsoukas
- Antony J. Williams
Who trusts Valery Tkachenko overall
Papers from Valery Tkachenko's perspective
Ordered by how strongly the researchers Valery Tkachenko trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Learning
- LIBSVM: A library for support vector machines
- Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules
- Learning with Kernels
- PubChem: Integrated Platform of Small Molecules and Biological Activities
- Bagging Predictors
- Dropout: a simple way to prevent neural networks from overfitting
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties.
- Comparison of Automatic Three-Dimensional Model Builders Using 639 X-ray Structures
Their papers
- Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets. (2017) — 303 citations
- The ChEMBL database as linked open data (2013) — 123 citations
- Towards a gold standard: regarding quality in public domain chemistry databases and approaches to improving the situation. (2012) — 109 citations
- Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information (2011) — 610 citations