Felipe Antonio Chegury Viana

Computational Theory and Mathematics · 2008–2014

A researcher in the Science corpus: 7 papers; trusts 51 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 62 citations into it; #2,362 of 12,182 by trust here, #2,565 by citations
• Management Science and Operations Research — 57 citations into it; #3,341 of 11,946 by trust here, #4,430 by citations
• Statistics and Probability — 51 citations into it; #4,420 of 12,932 by trust here, #4,809 by citations
• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #14,350 of 21,575 by trust here, #16,367 by citations
• Industrial and Manufacturing Engineering — 7 citations into it
• Analytical Chemistry — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Felipe Antonio Chegury Viana trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ron Kohavi
2. Tushar Goel
3. Timothy W. Simpson
4. Richard G. Brereton
5. Raphael T. Haftka
6. Ruichen Jin
7. Martin Meckesheimer
8. Alexander I. J. Forrester
9. Wei Shyy
10. Néstor V. Queipo

Who trusts Felipe Antonio Chegury Viana overall

1. Haitao Liu
2. Ali Mehmani
3. Yew-Soon Ong
4. Reza Alizadeh
5. Jianfei Cai
6. Souma Chowdhury
7. Haitao Liu
8. Xueguan Song
9. Janet K. Allen
10. Achille Messac

Papers from Felipe Antonio Chegury Viana's perspective

Ordered by how strongly the researchers Felipe Antonio Chegury Viana trusts endorse each paper. Same corpus, a different order for every researcher.

1. A rigorous framework for optimization of expensive functions by surrogates
2. Computationally Inexpensive Metamodel Assessment Strategies
3. Efficient Global Optimization of Expensive Black-Box Functions
4. Neural Networks for Pattern Recognition
5. Ensemble of surrogates
6. The Design and Analysis of Computer Experiments (Springer Series in Statistics)
7. Algorithmic construction of optimal symmetric Latin hypercube designs
8. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
9. Design and analysis of computer experiments
10. Approximation methods in multidisciplinary analysis and optimization: a panel discussion

Their papers

• Multiple surrogates: how cross-validation errors can help us to obtain the best predictor (2009) — 431 citations
• Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review of How Far We Have Come - Or Not (2008) — 346 citations
• Why Not Run the Efficient Global Optimization Algorithm with Multiple Surrogates (2010) — 49 citations
• Using Cross Validation to Design Conservative Surrogates (2010) — 56 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
• Tuning dynamic vibration absorbers by using ant colony optimization (2008) — 61 citations