Oliver Flasch
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Oliver Flasch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Oliver Flasch's perspective
Ordered by how strongly the researchers Oliver Flasch trusts endorse each paper. Same corpus, a different order for every researcher.
- Surrogate-assisted evolutionary computation: Recent advances and future challenges
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- Learning Multiple Layers of Features from Tiny Images
- Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Ensemble of surrogates
- Design of optimal aerodynamic shapes using stochastic optimization methods and computational intelligence
- Evolving Neural Networks through Augmenting Topologies
- ImageNet classification with deep convolutional neural networks
- Random Forests
Their papers
- Linear Combination of Distance Measures for Surrogate Models in Genetic Programming (2018) — 11 citations