Anna Csörgo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Anna Csörgo trusts overall

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

  1. Jerome H. Friedman
  2. Niko Speybroeck
  3. Jaka Demsar
  4. Leo Breiman
  5. R. Caruana
  6. Tianqi Chen
  7. Trevor J. Hastie
  8. Thomas G. Dietterich
  9. David López Vilariño

Who trusts Anna Csörgo overall

  1. Azal Ahmad Khan

Papers from Anna Csörgo's perspective

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

  1. Random Forests
  2. Stochastic gradient boosting
  3. Scikit-learn: Machine Learning in Python
  4. Greedy function approximation: A gradient boosting machine.
  5. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
  6. XGBoost: A Scalable Tree Boosting System
  7. Classification and Regression Trees
  8. Classification and regression trees
  9. Statistical Comparisons of Classifiers over Multiple Data Sets
  10. An empirical comparison of supervised learning algorithms

Their papers