Robuta

https://research.polyu.edu.hk/en/publications/extended-belief-rule-base-with-ensemble-imbalanced-learning-for-l/ Extended belief rule base with ensemble imbalanced learning for lymph node metastasis diagnosis in... imbalanced learninglymph nodeextendedbeliefrule https://open.metu.edu.tr/handle/11511/99587 Imbalanced learning techniques: Experiments on NCAA College Basketball League player statistics... ncaa college basketballimbalanced learningplayer statisticstechniquesexperiments https://arxiv.org/abs/1711.00837 [1711.00837] Oversampling for Imbalanced Learning Based on K-Means and SMOTE Abstract page for arXiv paper 1711.00837: Oversampling for Imbalanced Learning Based on K-Means and SMOTE imbalanced learningbased onoversamplingkmeans https://openreview.net/forum?id=UAow2kPsYP A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning |... Real-world datasets are typically imbalanced in the sense that only a few classes have numerous samples, while many classes are associated with only a few... imbalanced learningunifiedgeneralizationanalysisweighting https://www.catalyzex.com/paper/neural-collapse-for-cross-entropy-class Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model: Paper and Code. The current paradigm of training deep neural... imbalanced learningneuralcollapsecrossentropy https://pure.uos.ac.kr/en/publications/effective-data-balancing-methods-for-class-imbalanced-genotoxicit/ Effective data-balancing methods for class-imbalanced genotoxicity datasets using machine learning... machine learningeffectivedatabalancingmethods