Latest Articles for Data Augmentation

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.

A new tool helps users fix misalignments in multi-modal embeddings.

A new model enhances trajectory prediction for self-driving cars in diverse conditions.

MetaAug reduces overfitting in PTQ through innovative data transformations.

This study presents a two-stage framework for generating data in medical research.

A new approach combines various sensing modalities for better data integration.

This research presents a CNN model for recognizing mathematical expressions' base and exponent from images.

Highlighting key advancements in AI-based argument generation techniques and challenges faced.

Advancements in deep learning improve skin disease diagnosis accuracy.

Researchers enhance fetal ultrasound accuracy using synthetic images and machine learning.

Exploring how dataset diversity impacts deep learning model performance.

New model CFGen improves synthetic single-cell data generation for better research insights.

A new method improves detection of AI-generated images by focusing on textured areas.

New methods improve emotion recognition and response in technology.