Rafia Mumtaz

Statistics and Probability · 2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rafia Mumtaz 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
  6. Andy Liaw
  7. Cyril Goutte
  8. Simon Tong
  9. Cort J. Willmott
  10. David W. Hosmer Jr.

Papers from Rafia Mumtaz's perspective

Ordered by how strongly the researchers Rafia Mumtaz 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. Support Vector Machine Active Learning with Applications to Text Classification
  7. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
  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