Dana L. Penney

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it

Whom Dana L. Penney trusts

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

1. Berk Ustun (in Statistics and Probability)
2. Cynthia Rudin (in Statistics and Probability)
3. Jerome H. Friedman (in Statistics and Probability)
4. Christian Borgelt (in Artificial Intelligence)
5. Niko Speybroeck (in Statistical Learning Theory)
6. J. Ross Quinlan (in Algorithms & Complexity)

Papers from Dana L. Penney's perspective

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

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

Their papers

• Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test (2015) — 165 citations