Benjamin Alan Goldstein
Epidemiology · 2003–2020
A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Epidemiology — 34 citations into it
- Statistics and Probability — 25 citations into it
- Cardiology and Cardiovascular Medicine — 21 citations into it
- Genetics — 21 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Benjamin Alan Goldstein trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Nancy R. Cook
- Gary S. Collins
- Yi Lin
- Yoav Freund
- Andrew J. Vickers
- Trevor J. Hastie
- Peter C. Austin
- Robin Henderson
- Peter W. F. Wilson
Who trusts Benjamin Alan Goldstein overall
Papers from Benjamin Alan Goldstein's perspective
Ordered by how strongly the researchers Benjamin Alan Goldstein trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Random Forests
- ImageNet classification with deep convolutional neural networks
- The Nature of Statistical Learning Theory
- Gradient-based learning applied to document recognition
- A decision-theoretic generalization of on-line learning and an application to boosting
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Pattern Recognition and Neural Networks
Their papers
- Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review (2017) — 840 citations
- Large-scale association analysis identifies new risk loci for coronary artery disease (2012) — 1,642 citations
- Etiological paradigms of depression: The relationship between perceived causes, empowerment, treatment preferences, and stigma (2003) — 159 citations
- Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges (2016) — 484 citations
- AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records (2020) — 123 citations
- Development, Implementation, and Evaluation of an In-Hospital Optimized Early Warning Score for Patient Deterioration (2020) — 32 citations