Gyu Sang Choi

IEEE Access · 2020

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

Whom Gyu Sang Choi trusts

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

1. Robert Tibshirani (in Optimization & Training)

Who trusts Gyu Sang Choi

1. Sameer Quazi (in Electrical and Electronic Engineering)

Papers from Gyu Sang Choi's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Ridge Regression: Biased Estimation for Nonorthogonal Problems
3. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
4. Identification of a new human coronavirus (Nature Medicine)
5. Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis (ANT/SEIT)
6. Forecasting the novel coronavirus COVID-19 (PLoS ONE)
7. Bagging Predictors
8. The Elements of Statistical Learning
9. Estimating the Dimension of a Model
10. Generalized Additive Models

Their papers

• COVID-19 Future Forecasting Using Supervised Machine Learning Models (2020) — 423 citations