Wenwen Zhang

2015–2017

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

Whom Wenwen Zhang trusts overall

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

1. Ron Kohavi

Who trusts Wenwen Zhang overall

1. A. Soteropoulos
2. Martin Berger

Papers from Wenwen Zhang's perspective

Ordered by how strongly the researchers Wenwen Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Greedy function approximation: A gradient boosting machine.
2. Scikit-learn: Machine Learning in Python
3. Opportunities and insights for reducing fossil fuel consumption by households and organizations (Nature Energy)
4. Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques
5. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
6. Bagging Predictors
7. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
8. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
9. Information Theory: 1948-1998 - Guest Editorial
10. Experiments with a New Boosting Algorithm

Their papers

• Machine learning approaches for estimating commercial building energy consumption (2017)
• Exploring the impact of shared autonomous vehicles on urban parking demand: An agent-based simulation approach (2015) — 394 citations