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imbalanced classification

learning classifier from class-imbalanced data

Papers

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Showing 176–200 of 211 papers

TitleStatusHype
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification—0
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data—0
Self-supervised Label Augmentation via Input TransformationsCode0
Generative Adversarial Networks for Failure Prediction—0
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector—0
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoostCode0
Stochastic Proximal AUC Maximization—0
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification—0
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods—0
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data—0
Deep Reinforcement Learning for Imbalanced ClassificationCode0
Adversarial Classifier for Imbalanced Problems—0
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning—0
Superensemble Classifier for Improving Predictions in Imbalanced Datasets—0
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection—0
Robust Tracking via Weighted Online Extreme Learning Machine—0
Instance-based entropy fuzzy support vector machine for imbalanced data—0
Stochastic Proximal Algorithms for AUC Maximization—0
A Cost-Sensitive Deep Belief Network for Imbalanced Classification—0
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced ClassificationCode0
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost TuningCode0
QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter—0
Influence of Resampling on Accuracy of Imbalanced Classification—0
The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression—0
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning—0
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