Latest Articles for Data Augmentation

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.

GraphTP enhances graph learning through improved data strategies.

Explore the importance of visualization datasets in enhancing automated data processes.

A new method improves superpixel segmentation in 360° images using deep learning.

A cutting-edge approach improves identification of altered and recaptured images.

New methods enhance accuracy in predicting flu-related hospitalizations.

A new approach enhances zero-shot learning for better IoT data classification.

Addressing issues in tracking solar panel installations through advanced technologies.

A new method improves heart rate measurement for diverse skin tones.

A new framework improves medical image segmentation with fewer labeled images.

A new method to enhance data variety for improved model performance.

Improving accuracy in estimating head orientations for various applications.

New methods enhance accuracy in indoor positioning using machine learning techniques.

Research focuses on detecting deepfake audio through improved techniques and data expansion.

InfinityMath improves math skills in language models through quality datasets.

Curled-Dreamer enhances decision-making in reinforcement learning using contrastive learning methods.

ARPA enhances Visual Word Sense Disambiguation by integrating language and image processing techniques.

Utilizing unlabeled data to improve machine learning models through pseudo-labeling.

A method to improve deepfake detection by reducing data biases.