Heidi Seibold

2017

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Who trusts Heidi Seibold

  1. Philipp Probst (in Artificial Intelligence)
  2. Anne-Laure Boulesteix (in Artificial Intelligence)

Papers from Heidi Seibold's perspective

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

  1. The WEKA data mining software: an update
  2. mlr: Machine Learning in R
  3. ggplot2 - Elegant Graphics for Data Analysis (2nd Edition)
  4. Initializing Bayesian Hyperparameter Optimization via Meta-Learning
  5. OpenML: networked science in machine learning
  6. ggplot2: Elegant Graphics for Data Analysis
  7. Reinventing Discovery: The New Era of Networked Science
  8. Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML
  9. Classification and Regression by randomForest
  10. Unbiased Recursive Partitioning: A Conditional Inference Framework

Their papers