Asad Ali Shah

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Optimization & Training — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Asad Ali Shah trusts overall

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

1. Leo Breiman
2. Jerome H. Friedman

Papers from Asad Ali Shah's perspective

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

1. Bagging Predictors
2. Regression Shrinkage and Selection via the Lasso
3. Stochastic gradient boosting
4. Ridge Regression: Biased Estimation for Nonorthogonal Problems
5. Applied Logistic Regression: Hosmer/Applied Logistic Regression
6. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
7. Support Vector Machine Active Learning with Applications to Text Classification
8. A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation
9. Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation (Australian Conference on Artificial Intelligence)
10. Large-Scale Machine Learning with Stochastic Gradient Descent

Their papers

• Efficient Water Quality Prediction Using Supervised Machine Learning (2019) — 367 citations