Dac-Trung Nguyen

Artificial Intelligence · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Dac-Trung Nguyen trusts overall

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

1. Jerome H. Friedman
2. Naomi S. Altman

Papers from Dac-Trung Nguyen's perspective

Ordered by how strongly the researchers Dac-Trung Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. Greedy function approximation: A gradient boosting machine.
3. Extremely randomized trees
4. Quantitative high-throughput screening: a titration-based approach that efficiently identifies biological activities in large chemical libraries.
5. MassBank: a public repository for sharing mass spectral data for life sciences. (Journal of Mass Spectrometry)
6. Can the pharmaceutical industry reduce attrition rates?
7. New uses for old drugs (Nature)
8. β-Lactam antibiotics offer neuroprotection by increasing glutamate transporter expression (Nature)
9. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
10. Bagging Predictors

Their papers

• Sharing and community curation of mass spectrometry data with GNPS (2016) — 3,861 citations
• The NCGC Pharmaceutical Collection: A comprehensive resource of clinically approved drugs enabling repurposing and chemical genomics (2011) — 401 citations
• Tox21Challenge to Build Predictive Models of Nuclear Receptor and Stress Response Pathways as Mediated by Exposure to Environmental Chemicals and Drugs (2016) — 222 citations