V. Kuz'min
Computational Theory and Mathematics · 2011–2014
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 44 citations into it
- Computational Chemistry & Drug Discovery — 9 citations into it
Whom V. Kuz'min trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts V. Kuz'min overall
Papers from V. Kuz'min's perspective
Ordered by how strongly the researchers V. Kuz'min trusts endorse each paper. Same corpus, a different order for every researcher.
- Misc Functions of the Department of Statistics (e1071), TU Wien
- Handbook of Molecular Descriptors
- R: A language and environment for statistical computing.
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models
- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
- The Elements of Statistical Learning
- The Problem of Overfitting
- Principles of Multivariate Analysis
- Introduction to Multivariate Statistical Analysis in Chemometrics
Their papers
- QSAR Modeling: Where have you been? Where are you going to? (2014) — 1,811 citations
- Universal Approach for Structural Interpretation of QSAR/QSPR Models (2013) — 64 citations
- Interpretation of QSAR Models Based on Random Forest Methods (2011) — 77 citations