In this paper, we present an adaptation of Newton's method for the optimization of Subspace
Support Vector Data Description (S-SVDD). The objective of S-SVDD is to map the original …

Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early
therapeutics of MI can ensure the prevention of further myocardial necrosis …

In this paper, we propose a novel subspace learning framework for one-class classification.
The proposed framework presents the problem in the form of graph embedding. It includes …

Controller Area Network bus systems within ve-hicular networks are not equipped with the
tools necessary to ward off and protect themselves from modern cyber-security threats. Work …

In an increasingly digitalized commerce landscape, the proliferation of credit card fraud and
the evolution of sophisticated fraudulent techniques have led to substantial financial losses …

One-class classification refers to approaches of learning using data from a single class only.
In this paper, we propose a deep learning one-class classification method suitable for …

Insect monitoring is crucial for understanding the consequences of rapid ecological
changes, but taxa identification currently requires tedious manual expert work and cannot be …

Hyperspectral image (HSI) classification is an important task in many applications, such as
environmental monitoring, medical imaging, and land use/land cover (LULC) classification …

One-class classification methods are often used for anomaly detection in healthcare, quality
control in manufacturing, and fraud detection in financial services. Particularly in medical …

Detecting malware is crucial for ensuring the security of computer systems. Traditional
machine learning models face challenges in effectively detecting malware, mainly due to the …