Laurie Gaskins Baise

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #28,749 of 35,345 by trust here, #33,294 by citations

Whom Laurie Gaskins Baise trusts overall

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

1. Tom Fawcett
2. Gary King

Who trusts Laurie Gaskins Baise overall

1. Giovanna Menardi

Papers from Laurie Gaskins Baise's perspective

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

1. An introduction to ROC analysis
2. Explaining Rare Events in International Relations (International Organization)
3. SVMs Modeling for Highly Imbalanced Classification
4. Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy
5. Classification of Imbalanced Data: a Review (International journal of pattern recognition and artificial intelligence)
6. Classification and regression trees
7. The use of the area under the ROC curve in the evaluation of machine learning algorithms
8. The Foundations of Cost-Sensitive Learning
9. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
10. Robust Classification for Imprecise Environments

Their papers

• Sampling Bias and Class Imbalance in Maximum-likelihood Logistic Regression (2011) — 134 citations