Tag: data augmentation

Researchers trained lightweight YOLO deep-learning models on just 53 smartphone images of preserved Zimbabwean museum fish to detect ecologically important ...

A systematic 264-experiment study in China found that a Wasserstein GAN augmenting just 76 soil samples improved drone-based soil organic ...

Researchers have developed a deep reinforcement learning framework that generates synthetic patient data and explicitly avoids high-risk clinical states, outperforming ...

A new Frontiers in Analytical Science review shows that sophisticated sensors and machine learning cannot compensate for biased or unrepresentative ...

Researchers trained AI models on short Spanish first-contact clinical notes and found the algorithms detected suicidal behavior more accurately than ...

Researchers combined machine learning with GAN and SMOGN data augmentation to accurately predict the tensile properties of sub-sized nuclear steel ...

Researchers have built SpudNet5-R3, a lightweight explainable convolutional neural network that detects potato early and late blight with up to ...

Researchers have developed an unsupervised domain adaptation method that lets dialogue summarization models learn from annotated news data and bridge ...

Researchers have developed Adaptive-CGAN, a generative AI framework that produces realistic synthetic chest X-rays, lifts diagnostic accuracy to 99.60 percent, ...

Researchers in the Czech Republic have built a generative adversarial network that creates synthetic breast ultrasound images to train a ...