Thomas Oommen

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; #28,747 of 35,345 by trust here, #33,294 by citations

Whom Thomas Oommen trusts overall

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

1. Tom Fawcett
2. Gary King
3. Langche Zeng
4. Peter M. Atkinson

Who trusts Thomas Oommen overall

1. Giovanna Menardi
2. Nicola Torelli

Papers from Thomas Oommen's perspective

Ordered by how strongly the researchers Thomas Oommen 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. Neural Networks for Pattern Recognition

Their papers

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