Robust unsupervised anomaly detection via multi-time scale DCGANs with forgetting mechanism for industrial multivariate time series

Hyperspectral anomaly detection by local joint subspace process and support vector machine

(2020) Pei Xiang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Multivariate time series forecasting via attention-based encoder–decoder framework

(2020) Shengdong Du et al.   NEUROCOMPUTING

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

(2019) Thomas Schlegl et al.   MEDICAL IMAGE ANALYSIS

Diagnosis of Alzheimer's disease with Sobolev gradient‐based optimization and 3D convolutional neural network

(2019) Evgin Goceri   International Journal for Numerical Methods in Biomedical Engineering

Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study

(2019) Mikel Canizo et al.   NEUROCOMPUTING

Video anomaly detection and localization via multivariate gaussian fully convolution adversarial autoencoder

(2019) Nanjun Li et al.   NEUROCOMPUTING

Robust deep auto-encoding Gaussian process regression for unsupervised anomaly detection

(2019) Jinan Fan et al.   NEUROCOMPUTING

Crowd anomaly detection using Aggregation of Ensembles of fine-tuned ConvNets

(2019) Kuldeep Singh et al.   NEUROCOMPUTING

A random forest model for inflow prediction at wastewater treatment plants

(2019) Pengxiao Zhou et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Detektion von Anomalien zur Qualitätssicherung basierend auf Sequence-to-Sequence LSTM Netzen

(2019) Benjamin Lindemann et al.   AT-Automatisierungstechnik

A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems

(2019) Andrea Borghesi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

(2019) Cosimo Ieracitano et al.   NEUROCOMPUTING

Anomaly detection method for sensor network data streams based on sliding window sampling and optimized clustering

(2019) Ling Lin et al.   SAFETY SCIENCE

Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization

(2019) Ming Xu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A weakly supervised framework for abnormal behavior detection and localization in crowded scenes

(2019) Xing Hu et al.   NEUROCOMPUTING

A Generic Anomaly Detection of Catenary Support Components Based on Generative Adversarial Networks

(2019) Yang Lyu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Data-driven bearing fault identification using improved hidden Markov model and self-organizing map

(2018) Zefang Li et al.   COMPUTERS & INDUSTRIAL ENGINEERING

An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring

(2018) Wenguang Yang et al.   RENEWABLE ENERGY

Multiple-Step-Ahead Traffic Prediction in High-Speed Networks

(2018) Abdolkhalegh Bayati et al.   IEEE COMMUNICATIONS LETTERS

Exploiting the generative adversarial framework for one-class multi-dimensional fault detection

(2018) Spyridon Plakias et al.   NEUROCOMPUTING

An ensemble learning framework for anomaly detection in building energy consumption

(2017) Daniel B. Araya et al.   ENERGY AND BUILDINGS

Distributed Clustering Strategies in Industrial Wireless Sensor Networks

(2017) Angelo Cenedese et al.   IEEE Transactions on Industrial Informatics

Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges

(2017) Ibrar Yaqoob et al.   IEEE WIRELESS COMMUNICATIONS

Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection

(2017) Andreas Theissler   KNOWLEDGE-BASED SYSTEMS

Isolation-Based Anomaly Detection

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

State-of-the-Art Predictive Maintenance Techniques*

(2011) H. M. Hashemian et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Receiver operating characteristic (ROC) curve for medical researchers

(2011) Rajeev Kumar et al.   INDIAN PEDIATRICS

A review on time series data mining

(2010) Tak-chung Fu   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE