Paola Zuccolotto

Statistics and Probability · 2006–2008

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Paola Zuccolotto trusts overall

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

  1. Leo Breiman
  2. Jerome H. Friedman
  3. Thomas G. Dietterich
  4. Carolin Strobl
  5. David Ruppert
  6. Greg Ridgeway
  7. Trevor J. Hastie
  8. Torsten Hothorn
  9. Peter C. Austin
  10. Anne-Laure Boulesteix

Who trusts Paola Zuccolotto overall

  1. Baptiste Gregorutti
  2. Wei-Yin Loh
  3. X. Chen
  4. Bertrand Michel
  5. Stefano Nembrini
  6. Scott M. Lundberg
  7. Anne-Laure Boulesteix
  8. Xun Zhao
  9. Fannia Pacheco
  10. Inke R. König

Papers from Paola Zuccolotto's perspective

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

  1. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
  2. Greedy function approximation: A gradient boosting machine.
  3. Heuristics of instability and stabilization in model selection
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Screening large-scale association study data: exploiting interactions using random forests
  6. The Nature of Statistical Learning Theory
  7. Bias in random forest variable importance measures: Illustrations, sources and a solution
  8. Pattern recognition and neural networks
  9. Bagging Predictors
  10. Unbiased Recursive Partitioning: A Conditional Inference Framework

Their papers