Latest Articles for Synthetic Data

Deep learning enhances the extraction of dispersion curves from seismic data.

A new method uses genetic algorithms to create synthetic data while protecting privacy.

Improving rare request handling in voice assistants through data augmentation.

A new method in 3D scene generation improves data for model training.

Researchers develop methods to segment blood vessels using synthetic data for improved kidney analysis.

This article explores the development of advanced datasets for robotics in manufacturing.

Research reveals a model to enhance disfluency correction in speech recognition systems.

New methods improve image quality in light microscopy using artificial intelligence.

A new model enhances synthetic eye tracking data realism for better applications.

A new framework for continual learning in ever-changing data environments.

Examining the effectiveness of synthetic data in grammatical error correction tasks.

New methods enhance accuracy in aligning medical point clouds over time.

This article examines the role and challenges of synthetic tabular data in ML.

Examining the interplay of fairness, privacy, and predictive performance in machine learning.

New framework improves PET image quality and uncertainty measurement.

Learn how FGL protects data privacy while improving machine learning models.

Learn how synthetic data can protect privacy in longitudinal research.

A new synthetic data generator aids human behavior analysis through realistic datasets.

Exploring the effects of synthetic data on generative models and their outputs.

Analyzing the impact of renewable energy and synthetic models on Australia's electricity sector.

A new framework allows tailored synthetic data generation to meet varied organizational needs.

This article discusses how AI is improving the identification of job skills.

New toolkit improves access to synthetic data for model training in IR.

Using AI to improve translation for low-resource languages.

New techniques improve understanding of low-temperature plasmas through synthetic data generation.

Innovative method enhances pose estimation accuracy from diverse angles.

DiffInfinite generates detailed tissue images, improving analysis and training.

TransFusion improves the generation of high-quality long-sequence synthetic time-series data.

A new method for comparing signals using partial transport distances improves accuracy and flexibility.

Research on stellar light could reveal more about distant planets and their atmospheres.

A new method improves model fairness by generating synthetic data samples.

A new method enhances search accuracy by correcting user typing errors.

Conditional Wasserstein GANs address data scarcity in spectral applications across scientific fields.

Examining the impact of synthetic data on AI model performance and learning.

Creating diverse images of children's faces to enhance recognition systems.

A novel approach to reduce bias in image recognition models using synthetic data.

New methods improve the study of complex celestial signals.

Synthetic data sharing improves health research while protecting privacy.

Synthetic data generation improves AI training efficiency and performance.

This work shows how to generate useful synthetic datasets for optical flow estimation.