Volume 94: Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 10 September 2018, ECML-PKDD, Dublin, Ireland

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Editors: Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco

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Contents:

Preface

2nd Workshop on Learning with Imbalanced Domains: Preface

Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco ; PMLR 94:1-7

Papers

Learning from Positive and Unlabeled Data under the Selected At Random Assumption

Jessa Bekker, Jesse Davis ; PMLR 94:8-22

Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams

Martha Roseberry, Alberto Cano ; PMLR 94:23-37

Non-Linear Gradient Boosting for Class-Imbalance Learning

Jordan Frery, Amaury Habrard, Marc Sebban, Liyun He-Guelton ; PMLR 94:38-51

Proper Losses for Learning with Example-Dependent Costs

Alexander Hepburn, Ryan McConville, Raúl Santos-Rodríguezo, Jesús Cid-Sueiro, Dario García-García ; PMLR 94:52-66

REBAGG: REsampled BAGGing for Imbalanced Regression

Paula Branco, Luis Torgo, Rita P. Ribeiro ; PMLR 94:67-81

Undersampled Majority Class Ensemble for highly imbalanced binary classification

Pawel Ksieniewicz ; PMLR 94:82-94

ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information

Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski ; PMLR 94:95-109

On the Need of Class Ratio Insensitive Drift Tests for Data Streams

André Maletzke, Denis Reis, Everton Cherman, Gustavo Batista ; PMLR 94:110-124

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