Nathan Bartley

2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Nathan Bartley trusts overall

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

  1. Ryan J. Urbanowicz
  2. Per-Gunnar Martinsson
  3. Kalyanmoy Deb
  4. Jeff Kiralis
  5. Félix-Antoine Fortin

Who trusts Nathan Bartley overall

  1. Marc-André Zöller
  2. Quanming Yao
  3. A. D. Sá
  4. Micah J. Smith
  5. Matthias Feurer
  6. Yi-Wei Chen
  7. Marius Thomas Lindauer
  8. Marco F. Huber

Papers from Nathan Bartley's perspective

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

  1. Practical Bayesian Optimization of Machine Learning Algorithms
  2. Random Search for Hyper-Parameter Optimization
  3. Scikit-learn: Machine Learning in Python
  4. DEAP: evolutionary algorithms made easy
  5. Efficient and Robust Automated Machine Learning
  6. GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures
  7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  8. A fast and elitist multiobjective genetic algorithm: NSGA-II
  9. A genetic programming approach to automated software repair
  10. Beyond Manual Tuning of Hyperparameters

Their papers