Brian Ramsay

Midwest Artificial Intelligence and Cognitive Science Conference · 2011

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Brian Ramsay trusts overall

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

1. Niko Speybroeck
2. Ron Kohavi
3. Isabelle M Guyon
4. Eric P. Xing

Papers from Brian Ramsay's perspective

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

1. An Introduction to Variable and Feature Selection
2. Classification and regression trees
3. Wrappers for Feature Subset Selection
4. Feature selection for high-dimensional genomic microarray data
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Confusion Matrix-based Feature Selection (2011) — 455 citations