Frederik Rehbach

Artificial Intelligence · 2017

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 — 8 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Frederik Rehbach trusts overall

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

1. Luca Scrucca

Papers from Frederik Rehbach's perspective

Ordered by how strongly the researchers Frederik Rehbach trusts endorse each paper. Same corpus, a different order for every researcher.

1. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
2. Random Forests
3. Evolving Neural Networks through Augmenting Topologies
4. Sequential parameter optimization
5. Evolutionary robotics
6. Genetic Optimization Using Derivatives (Political Analysis)
7. DEoptim: An R Package for Global Optimization by Differential Evolution
8. Optimization by Simulated Annealing
9. Generalized Simulated Annealing for Global Optimization: The GenSA Package (The R Journal)
10. Surrogate-based Analysis and Optimization

Their papers

• Surrogate-Assisted Learning of Neural Networks (2017) — 7 citations