Latest Articles for Data Augmentation

This article examines the role of LLMs in generating synthetic data for text classification tasks.

An overview of neural networks, their structure, and applications across various fields.

New AI model improves tumor segmentation and diagnosis in lung cancer.

Exploring the role of synthetic data in improving schizophrenia diagnosis.

Analyzing how memes shape opinions through persuasive techniques.

This article discusses methods to improve sign language translation using modern technology.

A new system improves multi-instrument music transcription accuracy and efficiency.

New algorithm improves detection of neurofibrillary tangles in Alzheimer's disease.

A new method improves identification of hate speech in Arabic social media.

New methods improve detection of small objects in computer vision.

Introducing a method for better control in speech editing.

Introducing a new method for better domain generalization in machine learning.

A new framework enhances the adaptability of vision-language models through smart data processing.

A method to enhance audio deepfake detection through data augmentation.

A new framework boosts model performance with limited data.

Researchers aim to create sounds that match silent videos, improving viewer experiences.

Research focuses on combating propaganda in Arabic through innovative detection techniques.

CGRclust offers an innovative method for classifying DNA sequences without prior labels.

New techniques improve head pose estimation from single front-facing images.

Researchers improve translation skills for over 100 languages, focusing on low-resource languages.

A look at transfer learning and self-supervised learning in healthcare.

A new method improves summarization with limited training data.

A new method tests deep learning models' reliability in medical imaging.

A project to improve text recognition for Spanish documents using TrOCR.

CCL ensures neural networks maintain accuracy while learning new tasks.

New methods improve machines' ability to isolate conversations in noisy environments.

A study leverages sensor data to enhance ALS symptom prediction.

Integrating clinical data with X-ray images improves diagnostic accuracy.

Learn how data augmentation algorithms improve data analysis and model building.

A new method to select data augmentations improves model performance on time series tasks.

A new method enhances the security of deep learning models against hidden threats.

Researchers find ways to reduce intent detection model sizes while maintaining accuracy.

Examining how data imbalance affects machine learning model performance.

New methods improve accuracy in medical image segmentation across varied data sources.

Data augmentation boosts software vulnerability assessment accuracy amidst data imbalance.

New techniques enhance robots' location accuracy in indoor spaces using deep learning.

This article discusses using Siamese Neural Networks for mobile robot positioning.

A look at methods to enhance image quality affected by haze.

New data methods improve predictions on substance use behaviors.

A new system improves tissue classification using deep learning techniques.