Hirra Anwar

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 Hirra Anwar trusts overall

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

1. Leo Breiman
2. Jerome H. Friedman
3. Harry Zhang
4. Frauke Günther
5. Hui Zou

Papers from Hirra Anwar's perspective

Ordered by how strongly the researchers Hirra Anwar 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. Large-Scale Machine Learning with Stochastic Gradient Descent
9. A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation
10. Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation (Australian Conference on Artificial Intelligence)

Their papers

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