Latest Articles for Class Imbalance

Research highlights medication data's role in improving ICD coding accuracy.

This study explores methods to improve classifier performance on imbalanced datasets.

Strategies to improve model performance despite uneven data distribution.

This study focuses on improving continual learning methods in 3D semantic tasks.

Using k-means clustering to optimize audio data for better model training.

BuffGraph improves classification for less common classes in imbalanced graph data.

A new approach improves recognition for underrepresented classes in computer vision.

A new approach reduces bias in machine learning models with class imbalance.

A flexible tool designed for varied data labeling situations.

A new method improves detection of rare objects using video data.

A method for improving melody extraction across different music styles with minimal human effort.

A new approach to improve object detection by addressing class imbalance.

A new method improves image analysis in digital pathology.

A new method enhances memory replay for graph learning while ensuring privacy.

A new model improves stance detection across languages without labeled examples.

A look at under-bagging as a solution for imbalanced data in machine learning.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

A new dataset focuses on rural electrical transmission systems.

This article discusses TULIP, a method for better uncertainty estimation in machine learning.

This study examines image clustering methods on large datasets, highlighting performance variations.

An overview of SVM techniques for handling class imbalance in machine learning.

A method to enhance network intrusion detection by addressing class imbalance.

IGL-Bench provides essential tools for better analyzing imbalanced graphs.

This article examines how bias develops during the training of machine learning models.

A new method enhances model performance in recognizing underrepresented classes.

Improving object detection in microscopic images with fewer labeled samples.

A new method improves identification of plant species from images.

A new method enhances classification despite noisy labels and imbalanced datasets.

A new approach to improve intrusion detection using machine learning.

A new method improves model accuracy in situations with class imbalance.

A look at how user feedback impacts machine learning performance.

A new approach to detect failures in image classification models.

A new method enhances detection of the 'Liking' emotion from EEG data.

A model designed to improve medical image classification with limited data.

A new method improves semantic segmentation by tackling class imbalance in 3D data.

Addressing class imbalance in clustering with innovative techniques.

This study compares BERT and Bi-LSTM for classifying electronic health records.

Automated methods improve lumbar spine image analysis and diagnosis.

This study explores how synthetic data can tackle class and group imbalances.

Using satellite imagery and machine learning for accurate land classification.