Larisa N. Soldatova

Artificial Intelligence · 2009–2017

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Larisa N. Soldatova trusts

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

  1. Jaka Demsar (in Evaluation & Benchmarks)
  2. David Hilton Wolpert (in Representation & Self-Supervised Learning)
  3. Frank Hutter (in Artificial Intelligence)

Papers from Larisa N. Soldatova's perspective

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

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

Their papers