Iurii Sushko
Computational Theory and Mathematics · 2008–2014
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 33 citations into it; #11,943 of 12,182 by trust here, #3,339 by citations
Whom Iurii Sushko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Igor V. Tetko
- Peter Ertl
- Paola Gramatica
- Leo Breiman
- Alexander Tropsha
- Bernhard Schölkopf
- Roman Rosipal
- Gregg Wilensky
- Rong-En Fan
- Andreas Bender
Who trusts Iurii Sushko overall
Papers from Iurii Sushko's perspective
Ordered by how strongly the researchers Iurii Sushko trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- Neural Network Studies
- Learning with Kernels
- Prediction of n-Octanol/Water Partition Coefficients from PHYSPROP Database Using Artificial Neural Networks and E-State Indices (Journal of chemical information and computer sciences)
- The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models
- Recent developments of the chemistry development kit (CDK) - an open-source java library for chemo- and bioinformatics.
- Can we estimate the accuracy of ADME-Tox predictions?
- Comparison of Automatic Three-Dimensional Model Builders Using 639 X-ray Structures
- PubChem: Integrated Platform of Small Molecules and Biological Activities
- The Blue Obelisk—Interoperability in Chemical Informatics
Their papers
- Critical Assessment of QSAR Models of Environmental Toxicity against Tetrahymena pyriformis: Focusing on Applicability Domain and Overfitting by Variable Selection (2008) — 393 citations
- Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information (2011) — 610 citations
- How Accurately Can We Predict the Melting Points of Drug-like Compounds? (2014) — 92 citations