Anomaly detection: A survey, ACM Comput. Surv, vol.41, issue.3, pp.1-15, 2009. ,
Network anomaly detection: Methods, systems and tools, IEEE Communications Surveys and Tutorials, vol.16, issue.1, pp.303-336, 2014. ,
Outlier detection for temporal data: A survey, IEEE Trans. Knowl. Data Eng, vol.26, issue.9, pp.2250-2267, 2014. ,
Deep learning, Nature, vol.521, issue.7553, pp.436-444, 2015. ,
Anomaly detection: A survey, ACM Comput. Surv, vol.41, p.58, 2009. ,
Lof: Identifying density-based local outliers, SIGMOD, pp.93-104, 2000. ,
Isolation-based anomaly detection, ACM Trans. Knowl. Discov. Data, vol.6, pp.1-3, 2012. ,
Learning deep architectures for AI, Foundations and Trends in Machine Learning, vol.2, pp.1-127, 2009. ,
Reducing the dimensionality of data with neural networks, Science, vol.313, issue.5786, pp.504-507, 2006. ,
Semi-supervised anomaly detection for EEG waveforms using deep belief nets, ICMLA, pp.436-441, 2010. ,
Outlier detection using replicator neural networks, DaWaK, pp.170-180, 2002. ,
Long short-term memory, Neural Computation, vol.9, issue.8, pp.1735-1780, 1997. ,
Long short term memory networks for anomaly detection in time series, vol.04, p.2015 ,
Collective anomaly detection based on long short term memory recurrent neural network, CoRR, 2017. ,
Exstream: Explaining anomalies in event stream monitoring, pp.156-167, 2017. ,
Beyond sparsity: Tree regularization of deep models for interpretability, 2018. ,