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imbalanced classification

learning classifier from class-imbalanced data

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Showing 151–200 of 211 papers

TitleStatusHype
Kernel-Based Enhanced Oversampling Method for Imbalanced Classification—0
Kernel-Free Universum Quadratic Surface Twin Support Vector Machines for Imbalanced Data—0
Learning Deep Representation for Imbalanced Classification—0
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification—0
Learning Towards the Largest Margins—0
Lifting Imbalanced Regression with Self-Supervised Learning—0
Minority Class Oversampling for Tabular Data with Deep Generative Models—0
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization—0
COMPILED: Deep Metric Learning for Defect Classification of Threaded Pipe Connections using Multichannel Partially Observed Functional Data—0
MSE Loss with Outlying Label for Imbalanced Classification—0
Multi-Class Imbalanced Learning with Support Vector Machines via Differential Evolution—0
Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data—0
Enlarged Large Margin Loss for Imbalanced ClassificationCode0
Feedback-guided Data Synthesis for Imbalanced ClassificationCode0
Follow the bisector: a simple method for multi-objective optimizationCode0
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced ClassificationCode0
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance ConstraintCode0
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data ClassificationCode0
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face ClusteringCode0
Conformal Prediction for Class-wise Coverage via Augmented Label Rank CalibrationCode0
Deep Reinforcement Learning for Multi-class Imbalanced TrainingCode0
Class-Weighted Classification: Trade-offs and Robust ApproachesCode0
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant NetworkCode0
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency RegularizationCode0
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling TechniquesCode0
Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification ProblemsCode0
Box Drawings for Learning with Imbalanced DataCode0
How to train your draGAN: A task oriented solution to imbalanced classificationCode0
iBRF: Improved Balanced Random Forest ClassifierCode0
MNIST-MIX: A Multi-language Handwritten Digit Recognition DatasetCode0
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost TuningCode0
Benchmark of Data Preprocessing Methods for Imbalanced ClassificationCode0
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification ProblemsCode0
Zero Initialised Unsupervised Active Learning by Optimally Balanced Entropy-Based Sampling for Imbalanced ProblemsCode0
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoostCode0
Deep Reinforcement Learning for Imbalanced ClassificationCode0
SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data StreamsCode0
Balancing the Scales: Reinforcement Learning for Fair ClassificationCode0
Optimal Binary Classification Beyond AccuracyCode0
Self-supervised Label Augmentation via Input TransformationsCode0
Stochastic Hard Thresholding Algorithms for AUC MaximizationCode0
Online AUC Optimization for Sparse High-Dimensional DatasetsCode0
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced ClassificationCode0
Variational Disentanglement for Rare Event ModelingCode0
INGB: Informed Nonlinear Granular Ball Oversampling Framework for Noisy Imbalanced ClassificationCode0
A statistical theory of overfitting for imbalanced classificationCode0
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss FunctionsCode0
Zipfian WhiteningCode0
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced ClassificationCode0
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data ImbalanceCode0
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