Latest Articles for Data Augmentation

Synthetic data offers new opportunities for researchers in genomics.

A new approach balances datasets for better image recognition using real and synthetic images.

Data preparation in machine learning can impact the explainability of medical decisions.

This study enhances SER through improved preprocessing and efficient attention models.

Generative models create diverse training data, enhancing robot adaptability.

New methods improve voice clarity in noisy environments for hearables.

A new approach enhances representation learning and clustering in challenging image data.

This article examines how combining real and synthetic images boosts face recognition accuracy and fairness.

A new method predicts BMI using handwriting styles and deep learning.

This project explores AI methods for more efficient garbage classification.

Researchers assess risks of identifying individuals from shared data to improve privacy.

This method improves training datasets for better image segmentation performance.

Examining how computer vision models can align with human visual understanding.

New model improves accuracy in segmenting tumors from PET/CT scans.

Brain-Net-Diffusion improves fMRI data analysis for Autism Spectrum Disorder.

New methods aim to improve diabetic care through accurate, non-invasive blood sugar tracking.

A new model enhances accuracy and efficiency in medical image segmentation.

A new framework improves recommendations while protecting user privacy.

Learn how AMRF enhances image segmentation in industrial applications.

Automating tumor segmentation in PET/CT images enhances accuracy and speeds up diagnosis.

This model improves AI learning while retaining past knowledge.

A study on enhancing voice recognition systems for noisy settings.

Study explores LSTM networks for better internet traffic forecasting.

A fresh approach to training reward models enhances AI alignment with human preferences.

Using synthetic PET/CT images to enhance tumor detection and model performance.

New tech aims to enhance helmet compliance on construction sites.

AI techniques enhance keypoint detection for improved robotic interactions.

Explore methods to improve user engagement predictions through data augmentation.

A new approach to classify malware efficiently using fewer labeled samples.

This study enhances emotion recognition systems for less common languages using high-resource data.

PODA enhances AI's ability to understand texts and reason logically.

This article discusses strategies to improve learning performance data accuracy.

Enhancing translation accuracy from natural language to first-order logic.

This framework enhances model performance by addressing low-quality augmented data.

A new framework enhances hate speech detection and promotes fairness online.

New approaches in HAR improve activity recognition using smartphone data.

AI-driven WeatherFormer improves weather predictions while reducing energy consumption.

Study examines self-supervised learning methods to enhance cardiovascular imaging.

A framework to identify and reduce biases in visual data for AI models.

Understanding attention differences can enhance language model learning.