Hagai Rossman
Genetics · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 13 citations into it
- Public Health, Environmental and Occupational Health — 9 citations into it
Whom Hagai Rossman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hagai Rossman's perspective
Ordered by how strongly the researchers Hagai Rossman trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Learning
- Representation Learning: A Review and New Perspectives
- The mythos of model interpretability
- Predicting the Future — Big Data, Machine Learning, and Clinical Medicine (New England Journal of Medicine)
- Early Goal-Directed Therapy in the Treatment of Severe Sepsis and Septic Shock
- Dissecting racial bias in an algorithm used to manage the health of populations
- UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
- The UK Biobank resource with deep phenotyping and genomic data
- Gradient-based learning applied to document recognition
Their papers
- Axes of a revolution: challenges and promises of big data in healthcare (2020) — 323 citations