Latest Articles for Data Augmentation

PULSAR transforms doctor-patient conversations into efficient medical records.

Explore how smoothness impacts model performance on unseen data.

This study examines how counterfactual explanations can improve AI decision-making in pediatric brain tumors.

Research focuses on enhancing speech tech for languages lacking sufficient data.

A new method improves alignment of CT and MRI scans in medical imaging.

Research introduces new method for slip detection in robotic gripping systems.

A novel approach to boost NER performance through advanced data augmentation techniques.

Using AI to improve translation for low-resource languages.

A new approach enhances anomaly detection without labeled data.

A novel method estimates system parameters through image analysis and deep learning.

A look into improving translation systems using dependency subtree swapping.

This article discusses enhancing machine learning models using polynomial data balancing and augmentation.

Study reveals major concerns in replicating results from medical image segmentation competitions.

Adversarial Bayesian Augmentation improves model generalization with limited data.

A new method improves cell imaging using machine learning and data techniques.

Personalized ASR systems improve communication for DHH individuals significantly.

FEML model improves predictions with limited data using knowledge transfer.

Improving snake species recognition to enhance safety and conservation efforts.

A new method improves data augmentation for histopathological image classification.

A new method improves image clarity in multispectral imaging.

A new system enhances detection of manipulated audio through innovative techniques.

Examining the gap between model performance and real-world conditions.

Techniques for improving machine translation through effective data strategies.

This method enhances tumor segmentation using shape variations in medical imaging.

A new method enhances visual data representation using language models.

Researchers tackle depth estimation challenges with new robust methods.

A new method improves image classification by combining multiple self-supervised tasks.

A look at improved methods for accurately estimating object poses.

Improving resilience in legal prediction models through advanced training methods.

Strategies for generating images when training data is scarce.

This research explores self-training methods for enhancing hate speech detection in social media.

A look into improving dialogue systems using user opinions and experiences.

Floss improves representation learning in periodic time series data.

New method enhances image classification by combining texture analysis and deep learning.

A new AI system enhances the classification of bright astronomical events.

MiAMix boosts performance in computer vision through enhanced data mixing techniques.

New tool aims to protect analysts and speed up abuse report processing.

Exploring GEC improvements using LLMs and data augmentation for Arabic.

Utilizing self-supervised learning to enhance analysis of partial differential equations.

DiffTPT enhances model adaptability and accuracy through innovative data augmentation techniques.