Python code for abnormal detection using Support Vector Data Description (SVDD)

MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).

Fast Incremental Support Vector Data Description implemented in Python

A Julia package for Support Vector Data Description.

https://andy6804tw.github.io/2021/03/18/one-class-convolutional-neural-network/

Decision Boundaries Visualization of SVDD (libsvm-3.23)

Subspace Support Vector Data Description

Thesis work on Video Anomaly Detection

Hyperparameter selection of one-class support vector machine by self-adaptive data shifting

Supervised machine learning methods for novel anomaly detection.

Anomaly detection for deep SVDD

Detecting Malicious Commands

Scripts and notebooks to reproduce the experiments and analyses of the paper Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm, "Efficient SVDD sampling with approximation guarantees for the decision boundary", Machine Learning (2022).

A Julia package for one-class classification sampling methods.

Safety regions research is a well-known task for ML and the main focus is to avoid false positives, i.e., including in the safe region unsafe points. In this repository, two methods for the research of zero FPR regions are proposed: the first one is based simply on the reduction of the SVDD radius until only safe points are enclosed in the SVDD …