David J. Libon

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it

Whom David J. Libon trusts overall

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

1. Berk Ustun
2. Cynthia Rudin

Papers from David J. Libon's perspective

Ordered by how strongly the researchers David J. Libon 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. Greedy function approximation: A gradient boosting machine.
5. Building comprehensible customer churn prediction models with advanced rule induction techniques
6. Handbook of Violence Risk Assessment and Treatment: New Approaches for Mental Health Professionals
7. LIBLINEAR: A Library for Large Linear Classification
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

• Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test (2015) — 165 citations
• Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) — 668 citations