Kay Henning Brodersen

Statistics and Probability · 2010–2015

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 30 citations into it; #9,572 of 12,932 by trust here, #5,857 by citations
• Artificial Intelligence — 19 citations into it; #17,235 of 35,345 by trust here, #15,004 by citations
• Cognitive Neuroscience — 18 citations into it
• Economics and Econometrics — 11 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Kay Henning Brodersen trusts overall

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

1. J. Langford
2. Christian Hansen
3. John K. Kruschke
4. Nathalie Japkowicz
5. Chih-Jen Lin
6. Tomohiro Ando
7. Finn Verner Jensen
8. P. Dixon
9. Karl J. Friston
10. J. Durbin

Who trusts Kay Henning Brodersen overall

1. Davide Chicco
2. Alberto Abadie
3. Peter F. Schulam
4. Eran Malach
5. Vasileios Iosifidis
6. Robert C. Williamson
7. Christopher A. Merck
8. Sarah Tan
9. Eli Ben-Michael
10. B. S. Anderson

Papers from Kay Henning Brodersen's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. LIBSVM: A library for support vector machines
4. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. SMOTE: Synthetic Minority Over-sampling Technique
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. The Helmholtz Machine
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Inferring causal impact using Bayesian structural time-series models (2015) — 879 citations
• Uncertainty in perception and the Hierarchical Gaussian Filter (2014) — 418 citations
• Bayesian mixed-effects inference on classification performance in hierarchical data sets (2012) — 29 citations
• The Balanced Accuracy and Its Posterior Distribution (2010) — 1,729 citations