Distinguish between real and AI-generated images.

Semi-supervised anomaly detection method

Framework for the AE reconstruction and feature based AD

Code for "Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection" @ SIGKDD2021

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

Codebase for the ICKG 2023 paper: "GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection".

a time series anomaly detection method based on the calibrated one-class classifier

Legacy repo for the Artificial Intelligence capable of patacón recognition (Now on HuggingFace)

Feature Extraction by Grammatical Evolution for One-Class Time Series Classification

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

This repository provides some recommender engine models.

Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]

Set of deep learning models for supervised and semi-supervised learning tasks using time series. The models include tasks of multi-class classification, one-class classification, representation learning and derivatives. All models are based on PyTorch.

Multimodal Subspace Support Vector Data Description

Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020

This repository is about the implementation of Mahalanobis Distance outlier detection as a one class classification model. This has been achieved using Python

One-class classification algorithm for univariate timeseries data

Implementation of TKDE paper "Calibrated One-class classification-based Unsupervised Time series Anomaly detection"

Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'