Waqar Aslam

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 Waqar Aslam trusts

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

1. Robert Tibshirani (in Optimization & Training)

Who trusts Waqar Aslam

1. Sameer Quazi (in Electrical and Electronic Engineering)

Papers from Waqar Aslam's perspective

Ordered by how strongly the researchers Waqar Aslam 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. Generalized Additive Models
10. Estimating the Dimension of a Model

Their papers

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