Balancing Training Data for Automated Annotation of Keywords: a Case Study

By Gustavo E. A. P. A. Batista, Ana Lúcia Cetertich Bazzan, Maria Carolina Monard. WOB, 2003

377 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c1a95197e15fa99f55cd0cb2ee14d2f02699a919

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Ronaldo Cristiano Prati
2. Gustavo E. A. P. A. Batista
3. Maria Carolina Monard
4. Alberto Fernández
5. Salvador Garcia
6. Victoria López
7. Francisco Herrera
8. Nitesh V. Chawla

Citations in the corpus

• Data mining with imbalanced class distributions: concepts and methods (2009, methodology): “The SMOTE + Tomek links method was first used to improve the classification of examples for the problem of annotation of proteins in Bioinformatics [15].”
• A study of the behavior of several methods for balancing machine learning training data (2004, methodology): “The Smote + Tomek links method was first used to improve the classification of examples for the problem of annotation of proteins in Bioinformatics [1].”