Tag: deep learning
Browse our exclusive articles!
Improving Echo Segmentation by Fixing Ground Truth Errors
Enhance deep learning echocardiography segmentation by detecting and refurbishing ground truth errors using Variance of Gradients and pseudo-labelling.
BID-LoRA: Efficient Framework for Continual Learning & Unlearning
Discover BID-LoRA, a parameter-efficient framework enabling precise continual learning and unlearning to enhance AI adaptability and data privacy.
Heart Sound Classification Using Elastic Net & Gabor DL
Improve heart sound signal classification with elastic net regularization and Gabor dictionary using deep learning for accurate heart valve diagnosis.
Efficient Pansharpening with Euler-Inspired Neural Operator
Discover the Euler-inspired Decoupling Neural Operator (EDNO) for efficient, high-quality pansharpening with improved spectral and spatial accuracy.
Socrates Loss: Enhancing Confidence Calibration & Classification
Discover Socrates Loss, a unified approach improving confidence calibration and classification stability in deep neural networks for reliable AI.