Melissa Lamar

Artificial Intelligence · 2010–2015

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 Melissa Lamar trusts overall

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

1. Berk Ustun

Papers from Melissa Lamar's perspective

Ordered by how strongly the researchers Melissa Lamar 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. Disjunctions of Conjunctions, Cognitive Simplicity, and Consideration Sets
10. Supersparse Linear Integer Models for Predictive Scoring Systems

Their papers

• Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test (2015) — 165 citations
• The Major Genetic Determinants of HIV-1 Control Affect HLA Class I Peptide Presentation (2010) — 1,234 citations