Deep SA-SVDD for Anomaly detection

One-Class Classification Ensembles with Unsupervised Representations to Detect Novelty

Novelty Detection

Fraud hosts with substantial amount of fraudulent traffic using the impression logs for selected IP addresses

VLCS: Vague One-Class Learning and Concept Summarization

Most existing classification approaches assume the underlying training set is evenly distributed but many real-world classification problems have an imbalanced class distribution, such as rare disease identification, fraud detection, spam detection, churn prediction, electricity theft & pilferage etc.

One-class classification algorithm for univariate timeseries data

This repository contains all the Deep Learning projects that I have developed/worked in the areas of Natural Language Processing and Computer Vision by using the deep learning frameworks such as tensorflow, opencv, keras, spacy and pytorch.

Python library for one-class nu-SVM algorithm with "privileged information", compatible with scikit-learn

Anomaly detection for deep SVDD

One-class classification approach using error of image transformation into one image

ALPUD: Active Learning from Positive and Unlabeled Data

Subspace Support Vector Data Description

CLEAR: Cumulative LEARning for one-shot one-class image recognition (CVPR 2018)

Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java

Anomaly IDS using a one-class autoencoder.

A pill quality control dataset and associated anomaly detection example

Repository for the Exposing Outlier Exposure paper

Prior Generating Networks for Anomaly Detection

Deep One-Class Classification using Intra-Class Splitting