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Volume 183: Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 23 September 2022, ECML-PKDD, Grenoble, France
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Editors: Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
Preface
4th Workshop on Learning with Imbalanced Domains: Preface
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:1-7
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Long Papers
Systematic Evaluation of CASH Search Strategies for Unsupervised Anomaly Detection
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:8-22
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Bagging Propensity Weighting: A Robust method for biased PU Learning
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:23-37
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DistSMOGN: Distributed SMOGN for Imbalanced Regression Problems
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:38-52
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The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:53-67
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Improving Imbalanced Learning by Pre-finetuning with Data Augmentation
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:68-82
Performance and model complexity on imbalanced datasets using resampling and cost-sensitive algorithms
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:83-97
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Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:98-111
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Assessing the Robustness of Ordinal Classifiers against Imbalanced and Shifting Distributions
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:112-126
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Short Papers
Deep Contextual Novelty Detection with Context Prediction
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:127-138
Integrating and reporting full multi-view supervised learning experiments using SuMMIT
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:139-150
Probabilistic Metric to measure the imbalance in multi-class problems
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:151-162
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CNN and diffusion MRI’s 4th degree rotational invariants for Alzheimer’s disease identification
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:163-174
Data complexity and classification accuracy correlation in oversampling algorithms
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:175-186
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The Influence of Multiple Classes on Learning from Imbalanced Data Streams
; Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:187-198
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