Sangho Choe

IEEE Transactions on Smart Grid · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Sangho Choe trusts overall

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

1. Anna Veronika Dorogush
2. Paria Jokar
3. Guolin Ke

Who trusts Sangho Choe overall

1. Ahmed S. Musleh

Papers from Sangho Choe's perspective

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

1. LightGBM: A Highly Efficient Gradient Boosting Decision Tree
2. Electricity Theft Detection in AMI Using Customers’ Consumption Patterns (IEEE Transactions on Smart Grid)
3. CatBoost: gradient boosting with categorical features support
4. XGBoost: A Scalable Tree Boosting System
5. Greedy function approximation: A gradient boosting machine.
6. Stochastic gradient boosting
7. Scikit-learn: Machine Learning in Python
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Parallel boosted regression trees for web search ranking
10. Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost

Their papers

• Energy Theft Detection Using Gradient Boosting Theft Detector With Feature Engineering-Based Preprocessing (2019) — 347 citations