3rd Workshop on Learning with Imbalanced Domains: Preface

Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michał Woźniak, Shuo Wang; Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 154:1-6

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Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial

Mirko Nardi, Lorenzo Valerio, Andrea Passarella; Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 154:7-20

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Online-MC-Queue: Learning from Imbalanced Multi-Class Streams

Farnaz Sadeghi, Herna L. Viktor; Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 154:21-34

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ML-NCA: Multi-label Neighbourhood Component Analysis

Arjun Pakrashi, Sayel Sadhukhan, Brian Mac Namee; Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 154:35-48

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BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators

Barbara Draghi, Zhenchen Wang, Puja Myles, Allan Tucker; Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 154:49-62

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Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics

Myrto Limnios, Nathan Noiry, Stephan Clémençon; Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 154:63-75

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On Oversampling via Generative Adversarial Networks under Different Data Difficulty Factors

Ehsan Nazari, Paula Branco; Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 154:76-89

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Two Ways of Extending BRACID Rule-based Classifiers for Multi-class Imbalanced Data

Maria Naklicka, Jerzy Stefanowski; Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 154:90-103

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GanoDIP - GAN Anomaly Detection through Intermediate Patches: a PCBA Manufacturing Case

Arnaud Bougaham, Adrien Bibal, Isabelle Linden, Benoit Frenay; Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 154:104-117

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