Jörg Stork

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jörg Stork trusts overall

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

  1. Julian Francis Miller
  2. Thomas Bartz-Beielstein
  3. Martin Zaefferer
  4. Andrew James Turner
  5. Luca Scrucca
  6. Donald R. Jones
  7. Yaochu Jin
  8. Andy Liaw
  9. Jasjeet S. Sekhon
  10. Kenneth O. Stanley

Who trusts Jörg Stork overall

  1. Martin Zaefferer
  2. Thomas Bartz-Beielstein

Papers from Jörg Stork's perspective

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

  1. Evolving Neural Networks through Augmenting Topologies
  2. Random Forests
  3. Efficient Global Optimization of Expensive Black-Box Functions
  4. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  5. Multi-fidelity optimization via surrogate modelling
  6. Cartesian genetic programming encoded artificial neural networks: a comparison using three benchmarks
  7. Gradient-based learning applied to document recognition
  8. Sequential parameter optimization
  9. Surrogate-assisted evolutionary computation: Recent advances and future challenges
  10. Optimization by Simulated Annealing

Their papers