Deep anomaly detection with self-supervised learning and adversarial training

Outlier exposure with confidence control for out-of-distribution detection

(2021) Aristotelis-Angelos Papadopoulos et al.   NEUROCOMPUTING

Video anomaly detection and localization using motion-field shape description and homogeneity testing

(2020) Xinfeng Zhang et al.   PATTERN RECOGNITION

A Novel Outlier Detection Method for Multivariate Data

(2020) Yahya Almardeny et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Generalized support vector data description for anomaly detection

(2019) Mehmet Turkoz et al.   PATTERN RECOGNITION

Gaussian field consensus: A robust nonparametric matching method for outlier rejection

(2018) Gang Wang et al.   PATTERN RECOGNITION

A comparative evaluation of outlier detection algorithms: Experiments and analyses

(2018) Rémi Domingues et al.   PATTERN RECOGNITION

Online anomaly detection for long-term ECG monitoring using wearable devices

(2018) Diego Carrera et al.   PATTERN RECOGNITION

Social network model for crowd anomaly detection and localization

(2017) Rima Chaker et al.   PATTERN RECOGNITION

Online growing neural gas for anomaly detection in changing surveillance scenes

(2017) Qianru Sun et al.   PATTERN RECOGNITION

Mahalanobis Distance Based Approach for Anomaly Detection of Analog Filters Using Frequency Features and Parzen Window Density Estimation

(2016) Zewen Hu et al.   JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS

Isolation-Based Anomaly Detection

(2012) Fei Tony Liu et al.   ACM Transactions on Knowledge Discovery from Data