Nicole Krämer

Statistics and Probability · 2005–2010

A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 13 citations into it; #1,344 of 12,932 by trust here, #2,214 by citations
• Analytical Chemistry — 12 citations into it; #50 of 1,254 by trust here, #193 by citations
• Statistical Learning Theory — 8 citations into it
• Artificial Intelligence — 6 citations into it; #30,082 of 35,345 by trust here, #25,809 by citations
• Control and Systems Engineering — 5 citations into it; #502 of 8,257 by trust here, #1,409 by citations
• Molecular Biology — 5 citations into it

Whom Nicole Krämer trusts overall

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

1. Simon N. Wood
2. Robert Tibshirani
3. Sugato Basu
4. Eric R. Ziegel
5. Inge S. Helland
6. Christopher K. I. Williams
7. Roman Rosipal
8. Beresford N. Parlett
9. Bernhard Schölkopf
10. Jerome H. Friedman

Who trusts Nicole Krämer overall

1. M. Febrero–Bande
2. Kaiye Wang
3. Thierry Bouwmans
4. Shinichi Nakajima
5. Cuicui Kang
6. Ana M. Aguilera
7. Abhishek Sharma
8. Edouard Oyallon
9. M. D. L. Fuente
10. P. Mitteroecker

Papers from Nicole Krämer's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. The Elements of Statistical Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. The Nature of Statistical Learning Theory
7. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• The Degrees of Freedom of Partial Least Squares Regression (2010) — 111 citations
• Overview and Recent Advances in Partial Least Squares (2005) — 1,187 citations
• Penalized Partial Least Squares with Applications to B-Spline Transformations and Functional Data (2006) — 81 citations
• The Feature Importance Ranking Measure (2009) — 169 citations
• Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces (2009) — 318 citations
• Robustly estimating the flow direction of information in complex physical systems. (2007)