Caleb Mayeux

Information Systems · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 19 citations into it; #6,422 of 8,771 by trust here, #6,195 by citations
• Software — 14 citations into it; #892 of 1,227 by trust here, #839 by citations
• Artificial Intelligence — 10 citations into it
• Computer Networks and Communications — 7 citations into it; #7,462 of 9,886 by trust here, #6,788 by citations

Whom Caleb Mayeux trusts overall

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

1. Jerome H. Friedman
2. Nick Littlestone
3. Nitesh V. Chawla

Who trusts Caleb Mayeux overall

1. Chakkrit Kla Tantithamthavorn
2. Ken-ichi Matsumoto
3. Ahmed E. Hassan

Papers from Caleb Mayeux's perspective

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

1. Special Invited Paper-Additive logistic regression: A statistical view of boosting
2. SMOTE: Synthetic Minority Over-sampling Technique
3. Locally Weighted Learning
4. Pegasos: primal estimated sub-gradient solver for SVM
5. Mining metrics to predict component failures (International Conference on Software Engineering)
6. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
7. Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (ESEC/SIGSOFT FSE)
8. Experimental perspectives on learning from imbalanced data (International Conference on Machine Learning)
9. Defect prediction from static code features: current results, limitations, new approaches (International Conference on Automated Software Engineering)
10. The WEKA data mining software: an update

Their papers

• Online Defect Prediction for Imbalanced Data (2015) — 301 citations