Jay A. Baker

1996–2008

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

Whom Jay A. Baker trusts overall

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

1. J. Landis

Who trusts Jay A. Baker overall

1. Alina Jade Barnett

Papers from Jay A. Baker's perspective

Ordered by how strongly the researchers Jay A. Baker trusts endorse each paper. Same corpus, a different order for every researcher.

1. The use of the area under the ROC curve in the evaluation of machine learning algorithms
2. Receiver operating characteristic curves and their use in radiology. (Radiology)
3. Learning from Imbalanced Data Sets: A Comparison of Various Strategies *
4. The effect of class distribution on classifier learning: an empirical study
5. Neural networks for classification: a survey (IEEE Trans. Syst. Man Cybern. Part C)
6. The class imbalance problem: A systematic study
7. Learning When Data Sets are Imbalanced and When Costs are Unequal and Unknown
8. Computer-Aided Detection and Diagnosis in Mammography
9. The measurement of observer agreement for categorical data.
10. The use of artificial neural networks in decision support in cancer: A systematic review

Their papers

• Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance (2008) — 813 citations
• Breast imaging reporting and data system standardized mammography lexicon: observer variability in lesion description. (1996)