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imbalanced classification

learning classifier from class-imbalanced data

Papers

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Showing 51–100 of 211 papers

TitleStatusHype
Class-Weighted Classification: Trade-offs and Robust ApproachesCode0
Stochastic Hard Thresholding Algorithms for AUC MaximizationCode0
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data ImbalanceCode0
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced ClassificationCode0
Variational Disentanglement for Rare Event ModelingCode0
Box Drawings for Learning with Imbalanced DataCode0
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost TuningCode0
SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data StreamsCode0
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced ClassificationCode0
Benchmark of Data Preprocessing Methods for Imbalanced ClassificationCode0
Deep Reinforcement Learning for Imbalanced ClassificationCode0
Deep Reinforcement Learning for Multi-class Imbalanced TrainingCode0
Self-supervised Label Augmentation via Input TransformationsCode0
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable ObjectivesCode0
An Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced ClassificationCode0
Online AUC Optimization for Sparse High-Dimensional DatasetsCode0
Enlarged Large Margin Loss for Imbalanced ClassificationCode0
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant NetworkCode0
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss FunctionsCode0
Lightweight Transducer Based on Frame-Level CriterionCode0
LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion DetectionCode0
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced ClassificationCode0
Latent Preserving Generative Adversarial Network for Imbalance classificationCode0
Balancing the Scales: Reinforcement Learning for Fair ClassificationCode0
INGB: Informed Nonlinear Granular Ball Oversampling Framework for Noisy Imbalanced ClassificationCode0
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance ConstraintCode0
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoostCode0
MNIST-MIX: A Multi-language Handwritten Digit Recognition DatasetCode0
LSH-DynED: A Dynamic Ensemble Framework with LSH-Based Undersampling for Evolving Multi-Class Imbalanced ClassificationCode0
Zero Initialised Unsupervised Active Learning by Optimally Balanced Entropy-Based Sampling for Imbalanced ProblemsCode0
Feedback-guided Data Synthesis for Imbalanced ClassificationCode0
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection—0
Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification—0
Automated Imbalanced Classification via Layered Learning—0
Deep Differential Amplifier for Extractive Summarization—0
Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification—0
Dealing with Class Imbalance using Thresholding—0
A Supervised Embedding and Clustering Anomaly Detection method for classification of Mobile Network Faults—0
A Minimax Probability Machine for Non-Decomposable Performance Measures—0
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification—0
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification—0
Counterfactual-based minority oversampling for imbalanced classification—0
ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification—0
Imbalanced Classification in Medical Imaging via Regrouping—0
CopulaSMOTE: A Copula-Based Oversampling Approach for Imbalanced Classification in Diabetes Prediction—0
Imbalanced Classification In Faulty Turbine Data: New Proximal Policy Optimization—0
Imbalanced classification: a paradigm-based review—0
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification—0
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty—0
All-around Neural Collapse for Imbalanced Classification—0
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