N. Tollenaar

Statistics and Probability · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 13 citations into it
• Artificial Intelligence — 8 citations into it; #15,131 of 35,345 by trust here, #25,809 by citations
• Statistical Learning Theory — 6 citations into it

Whom N. Tollenaar trusts overall

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

1. Jerome H. Friedman
2. Corinna Cortes
3. J. Platt
4. R. Fisher
5. Niko Speybroeck
6. Max Kuhn
7. Yoav Freund
8. Trevor J. Hastie
9. David Ruppert
10. Robert E. Schapire

Who trusts N. Tollenaar overall

1. Cynthia Rudin
2. G. Duwe
3. Jiaming Zeng
4. Lesia Semenova
5. Berk Ustun
6. KiDeuk Kim

Papers from N. Tollenaar's perspective

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

1. The Nature of Statistical Learning Theory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Generalized Linear Models
5. Random Forests
6. Special Invited Paper-Additive logistic regression: A statistical view of boosting
7. Support-Vector Networks
8. Regression Shrinkage and Selection via the Lasso
9. Gradient-based learning applied to document recognition
10. Bagging Predictors

Their papers

• Which method predicts recidivism best?: a comparison of statistical, machine learning and data mining predictive models (2013) — 143 citations
• Comparing the effects of community service and short-term imprisonment on recidivism: a matched samples approach (2010) — 118 citations