Jinghua Zhao

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Jinghua Zhao trusts

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

1. Jerome H. Friedman (in Artificial Intelligence)
2. Naomi S. Altman (in Evaluation & Benchmarks)

Papers from Jinghua Zhao's perspective

Ordered by how strongly the researchers Jinghua Zhao 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. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
5. Can the pharmaceutical industry reduce attrition rates?
6. Bagging Predictors
7. High-dimensional graphs and variable selection with the Lasso
8. Experiments with a New Boosting Algorithm
9. The Nature of Statistical Learning Theory
10. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants

Their papers

• Tox21Challenge to Build Predictive Models of Nuclear Receptor and Stress Response Pathways as Mediated by Exposure to Environmental Chemicals and Drugs (2016) — 222 citations