Vladimir Balabanov
Computational Theory and Mathematics · 2008–2014
A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 51 citations into it; #5,099 of 12,182 by trust here, #4,850 by citations
- Management Science and Operations Research — 42 citations into it; #9,330 of 11,946 by trust here, #10,893 by citations
- Statistics and Probability — 37 citations into it; #10,359 of 12,932 by trust here, #11,487 by citations
- Industrial and Manufacturing Engineering — 5 citations into it
Whom Vladimir Balabanov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ron Kohavi
- Timothy W. Simpson
- Alexander I. J. Forrester
- Ruichen Jin
- Tushar Goel
- Jorge Kazuo Yamamoto
- Wei Chen
- Shawn E. Gano
- Thomas J. Santner
- Mattias Liefvendahl
Who trusts Vladimir Balabanov overall
Papers from Vladimir Balabanov's perspective
Ordered by how strongly the researchers Vladimir Balabanov trusts endorse each paper. Same corpus, a different order for every researcher.
- A rigorous framework for optimization of expensive functions by surrogates
- Algorithmic construction of optimal symmetric Latin hypercube designs
- Computationally Inexpensive Metamodel Assessment Strategies
- The Design and Analysis of Computer Experiments (Springer Series in Statistics)
- Ensemble of surrogates
- Approximation methods in multidisciplinary analysis and optimization: a panel discussion
- Metamodels for Computer-based Engineering Design: Survey and recommendations
- Multi-fidelity optimization via surrogate modelling
- Review of Metamodeling Techniques in Support of Engineering Design Optimization (Design Automation Conference)
- Kriging Hyperparameter Tuning Strategies
Their papers
- Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review of How Far We Have Come - Or Not (2008) — 346 citations
- Metamodeling in Multidisciplinary Design Optimization: How Far Have We Really Come? (2014) — 372 citations
- An algorithm for fast optimal Latin hypercube design of experiments (2010) — 340 citations