IEEE

Pseudo-Label Guided Sparse Regression with Spectral and Spatial Regularization for Hyperspectral Band Selection

Abstract: Band selection, aiming at screening representative spectral bands and eliminating redundant information, has long been a popular topic in hyperspectral imagery (HSI) processing, and has ...
IEEE

Fuzzy LASSO Logistic Regression: A Regularized Framework for Interpretable Binary Classification Under Uncertainty

Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
Scientific Research Publishing

Wei, J. (2022) Machine Learning Security of Deep Learning Systems under Adversarial Perturbations. PhD Dissertation, Loughborough University.

ABSTRACT: Early detection of Alzheimer’s disease (AD) is critical for intervention and monitoring. Spontaneous speech is a rich behavioural signal of cognitive decline, yet many machine-learning ...
Frontiers

LST1: a novel biomarker for efferocytosis in the co-occurrence of type 2 diabetes mellitus and clear cell renal cell carcinoma

Background: The rising global incidence of clear cell renal cell carcinoma (ccRCC) often coincides with metabolic disorders like type 2 diabetes mellitus (T2DM). However, the association between these ...