Details
Name
Paula Oliveira BrancoCluster
Computer ScienceSince
24th May 2013
Nationality
PortugalCentre
Artificial Intelligence and Decision SupportContacts
+351220402963
paula.o.branco@inesctec.pt
2018
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
Authors
Branco, P; Torgo, L; Ribeiro, RP;
Publication
Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings
Abstract
2018
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
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
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
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