Noureddin M. Sadawi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Noureddin M. Sadawi trusts overall

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

  1. David Hilton Wolpert
  2. Jaka Demsar
  3. Frank Hutter
  4. Johannes Fürnkranz
  5. Eric Brochu
  6. Matthias Feurer
  7. Patrícia M. Santos

Papers from Noureddin M. Sadawi's perspective

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

  1. Scikit-learn: Machine Learning in Python
  2. Statistical Comparisons of Classifiers over Multiple Data Sets
  3. Sequential Model-Based Optimization for General Algorithm Configuration
  4. The WEKA data mining software: an update
  5. Original Contribution: Stacked generalization
  6. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
  7. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
  8. Initializing Bayesian Hyperparameter Optimization via Meta-Learning
  9. Collaborative hyperparameter tuning
  10. Cross-disciplinary perspectives on meta-learning for algorithm selection

Their papers