Latest Articles for Data Augmentation

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.

New methods improve the detection of distant exoplanets using advanced algorithms.

A novel AI approach improves adenocarcinoma diagnosis across different imaging conditions.

A study comparing privacy threats in spiking and artificial neural networks.

A study on automatic detection of offensive language using modern techniques.

Enhancing predictions through weighted Test-Time Augmentation methods.

A new training method improves image segmentation for specific object identification.

Modern technology aids in preserving the endangered Skolt Sami language.

Machine learning improves fish biochemical analysis with Raman spectroscopy.

PV-faultNet offers a smart solution for identifying solar panel defects efficiently.

Learn how emoji classifiers enhance texting on mobile devices.

Using One-Shot GANs to improve detection of rare diseases in medical imaging.

This article presents a new method for identifying changes in event data.

SimCLR enhances model training using unlabeled data in vision tasks.

Researchers use sound waves to estimate human poses without cameras.

This study compares AI models for diagnosing pneumonia using chest X-rays.

Learn to make the most of limited data for language models.

Using physics-based methods to improve polarimetric imaging accuracy.

Segmentation is crucial for accurate brain imaging and diagnosis.

AI tools are enhancing malaria diagnosis for better healthcare outcomes.

New methods improve how computers recognize individuals in various settings.

Exploring how models can learn without original data.

Using WiFi signals to recognize human activities beyond internet access.

Discover how data augmentation can improve NER models in low-resource domains.

Discover how federated learning enhances activity recognition while addressing data challenges.

Using synthetic data to improve facial emotion recognition accuracy in machines.

A new method generates realistic data for training models in identity verification.

Using LLMs to classify and promote green practices on social media.

AeroGen generates synthetic images to improve object detection in remote sensing.

A new method improves the detection of anomalies in machine learning.

Learn how Gaussian Mixture Models enhance GNN performance through data augmentation.

Discover how computers are learning to read historic music scores.

Improving the segmentation of dental structures using advanced imaging techniques.

Exploring innovative methods to enhance multispectral object detection accuracy.

Creating a specialized model for Thai finance through innovative techniques.

Wafer2Spike improves chip production with efficient wafer map analysis.