Jungang Luo

Artificial Intelligence · 2020

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 Jungang Luo trusts overall

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

1. Jerome H. Friedman
2. Salim Lahmiri

Papers from Jungang Luo's perspective

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

1. Greedy function approximation: A gradient boosting machine.
2. Time series analysis, forecasting and control
3. Scikit-learn: Machine Learning in Python
4. Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis
5. Learning representations by back-propagating errors
6. The Nature of Statistical Learning Theory
7. Consistent Nonparametric Regression
8. Bagging Predictors
9. The Elements of Statistical Learning
10. Random Forests

Their papers

• A Hybrid Model Based on Variational Mode Decomposition and Gradient Boosting Regression Tree for Monthly Runoff Forecasting (2020) — 81 citations