Rhoda Au

Artificial Intelligence · 2000–2022

A researcher in the Science corpus: 10 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rhoda Au trusts overall

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

  1. Berk Ustun
  2. Cynthia Rudin
  3. Jerome H. Friedman
  4. J. Ross Quinlan

Papers from Rhoda Au's perspective

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

  1. C4.5: Programs for Machine Learning
  2. Random Forests
  3. Classification and regression trees
  4. Greedy function approximation: A gradient boosting machine.
  5. LIBLINEAR: A Library for Large Linear Classification
  6. Building comprehensible customer churn prediction models with advanced rule induction techniques
  7. Handbook of Violence Risk Assessment and Treatment: New Approaches for Mental Health Professionals
  8. Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
  9. Falling Rule Lists
  10. Disjunctions of Conjunctions, Cognitive Simplicity, and Consideration Sets

Their papers