IEEE

Image Denoising Based on Multi-Stage Cascade Complementary Learning

Abstract: Image denoising is a key component of digital image processing systems. The latest advances in deep learning have led to significant improvements in denoising techniques, particularly ...
GitHub

sparse-bayesian-learning

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian ...
IEEE

ADDomics: Enhancing Multiomics Fusion with Autoencoders and Deep Neural Networks

Abstract: Advancing precision medicine and understanding biological systems and enhancing disease categorization have benefited greatly from multi-omics integration. Nevertheless, current strategies ...
C&EN

Explainable Deep Learning Framework for SERS Bioquantification

Melville Laboratory for Polymer Synthesis, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, U.K. Melville Laboratory for Polymer Synthesis, Yusuf Hamied ...
GitHub

Self-Learning-VAE-for-EEG-Artifact-Removal

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...