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Volume 74: First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 22 September 2017, ECML-PKDD, Skopje, Macedonia

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Editors: Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz

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Contents:

Preface

Learning with Imbalanced Domains: Preface

Luís Torgo,  Bartosz Krawczyk,  Paula Branco,  Nuno Moniz ; PMLR 74:1-6

Full Papers

Influence of minority class instance types on SMOTE imbalanced data oversampling

Przemysław Skryjomski,  Bartosz Krawczyk ; PMLR 74:7-21

A Network Perspective on Stratification of Multi-Label Data

Piotr Szymański,  Tomasz Kajdanowicz ; PMLR 74:22-35

SMOGN: a Pre-processing Approach for Imbalanced Regression

Paula Branco,  Luís Torgo,  Rita P. Ribeiro ; PMLR 74:36-50

Stacked-MLkNN: A stacking based improvement to Multi-Label k-Nearest Neighbours

Arjun Pakrashi,  Brian Mac Namee ; PMLR 74:51-63

Sampling a Longer Life: Binary versus One-class classification Revisited

Colin Bellinger,  Shiven Sharma,  Osmar R. Zaı̈ane,  Nathalie Japkowicz ; PMLR 74:64-78

Improving Resampling-based Ensemble in Churn Prediction

Bing Zhu,  Seppe Broucke,  Bart Baesens,  Sebastián Maldonado ; PMLR 74:79-91

Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals

Nikou Günnemann,  Jürgen Pfeffer ; PMLR 74:92-102

Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies

Xia Cui,  Frans Coenen,  Danushka Bollegala ; PMLR 74:103-115

Posters

Tunable Plug-In Rules with Reduced Posterior Certainty Loss in Imbalanced Datasets

Emmanouil Krasanakis,  Eleftherios Spyromitros-Xioufis,  Symeon Papadopoulos,  Yiannis Kompatsiaris ; PMLR 74:116-128

Evaluation of Ensemble Methods in Imbalanced Regression Tasks

Nuno Moniz,  Paula Branco,  Luís Torgo ; PMLR 74:129-140

Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss

Yehezkel S. Resheff,  Amit Mandelbom,  Daphna Weinshall ; PMLR 74:141-151

Unsupervised Classification of Speaker Profiles as a Point Anomaly Detection Task

Cedric Fayet,  Arnaud Delhay,  Damien Lolive,  Pierre-François Marteau ; PMLR 74:152-163

Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers

Paweł Ksieniewicz,  Michał Woźniak ; PMLR 74:164-175

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