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Publications

2018

Resampling with neighbourhood bias on imbalanced domains

Authors
Branco, P; Torgo, L; Ribeiro, RP;

Publication
EXPERT SYSTEMS

Abstract
Imbalanced domains are an important problem that arises in predictive tasks causing a loss in the performance on the most relevant cases for the user. This problem has been extensively studied for classification problems, where the target variable is nominal. Recently, it was recognized that imbalanced domains occur in several other contexts and for multiple tasks, such as regression tasks, where the target variable is continuous. This paper focuses on imbalanced domains in both classification and regression tasks. Resampling strategies are among the most successful approaches to address imbalanced domains. In this work, we propose variants of existing resampling strategies that are able to take into account the information regarding the neighbourhood of the examples. Instead of performing sampling uniformly, our proposals bias the strategies to reinforce some regions of the data sets. With an extensive set of experiments, we provide evidence of the advantage of introducing a neighbourhood bias in the resampling strategies for both classification and regression tasks with imbalanced data sets.

2018

MetaUtil: Meta Learning for Utility Maximization in Regression

Authors
Branco, P; Torgo, L; Ribeiro, RP;

Publication
Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings

Abstract

2018

2nd Workshop on Learning with Imbalanced Domains: Preface

Authors
Torgo, L; Matwin, S; Japkowicz, N; Krawczyk, B; Moniz, N; Branco, P;

Publication
Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@ECML/PKDD 2018, Dublin, Ireland, September 10, 2018

Abstract

2018

Cost-Sensitive Learning: Preface

Authors
Torgo, L; Matwin, S; Weiss, G; Moniz, N; Branco, P;

Publication
International Workshop on Cost-Sensitive Learning, COST@SDM 2018, San Diego, California, USA, May 5, 2018

Abstract

2018

REBAGG: REsampled BAGGing for Imbalanced Regression

Authors
Branco, P; Torgo, L; Ribeiro, RP;

Publication
Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@ECML/PKDD 2018, Dublin, Ireland, September 10, 2018

Abstract