James H. F. Rudd

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #32,700 of 35,345 by trust here, #32,362 by citations
• Statistics and Probability — 5 citations into it

Whom James H. F. Rudd trusts overall

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

1. Jerome H. Friedman

Who trusts James H. F. Rudd overall

1. Sameer Quazi

Papers from James H. F. Rudd's perspective

Ordered by how strongly the researchers James H. F. Rudd trusts endorse each paper. Same corpus, a different order for every researcher.

1. Greedy function approximation: A gradient boosting machine.
2. Deep Learning
3. Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. (New England Journal of Medicine)
4. Can machine-learning improve cardiovascular risk prediction using routine clinical data? (PLoS ONE)
5. MissForest - non-parametric missing value imputation for mixed-type data (Bioinform.)
6. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
7. Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. (Archives of Internal Medicine)
8. Regression Shrinkage and Selection via the Lasso
9. Random Forests
10. The Elements of Statistical Learning

Their papers

• Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans (2020) — 936 citations
• Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants (2019) — 490 citations