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Anomaly Detection

66 papers with code · Methodology

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A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks

12 Feb 2019Batiste Le Bars et al

In this paper we consider the task of detecting abnormal communication volume occurring at node-level in communication networks.

ANOMALY DETECTION

12 Feb 2019

Bounded Fuzzy Possibilistic Method

8 Feb 2019Hossein Yazdani

However, BFPM differs from previous fuzzy and possibilistic clustering approaches by allowing the membership function to take larger values with respect to all clusters.

ANOMALY DETECTION

08 Feb 2019

BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling

6 Feb 2019Lars Maaløe et al

In this paper we close the performance gap by constructing VAE models that can effectively utilize a deep hierarchy of stochastic variables and model complex covariance structures.

ANOMALY DETECTION

06 Feb 2019

Dictionary learning approach to monitoring of wind turbine drivetrain bearings

4 Feb 2019Sergio Martin-del-Campo et al

This is a challenging problem due to the complex and weak signatures of some faults, in particular of faults occurring in some of the drivetrain bearings.

ANOMALY DETECTION DICTIONARY LEARNING

04 Feb 2019

Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection

1 Feb 2019Zekun Xu et al

In recent years, there have been many practical applications of anomaly detection such as in predictive maintenance, detection of credit fraud, network intrusion, and system failure.

ANOMALY DETECTION

01 Feb 2019

Unsupervised Prediction of Negative Health Events Ahead of Time

31 Jan 2019Anahita Hosseini et al

The emergence of continuous health monitoring and the availability of an enormous amount of time series data has provided a great opportunity for the advancement of personal health tracking.

ANOMALY DETECTION TIME SERIES

31 Jan 2019

Securing Fog-to-Things Environment Using Intrusion Detection System Based On Ensemble Learning

30 Jan 2019Poulmanogo Illy et al

Many solutions proposed in the literature are reported to have high accuracy but are ineffective in real applications due to the non-representativity of the dataset used for training and evaluation of the underlying models.

ANOMALY DETECTION INTRUSION DETECTION

30 Jan 2019

Anomaly Locality in Video Surveillance

29 Jan 2019Federico Landi et al

This paper strives for the detection of real-world anomalies such as burglaries and assaults in surveillance videos.

ANOMALY DETECTION

29 Jan 2019

Heartbeat Anomaly Detection using Adversarial Oversampling

28 Jan 2019Jefferson L. P. Lima et al

As in most health problems, the imbalance between examples and classes is predominant in this problem and affects the performance of the automated solution.

ANOMALY DETECTION

28 Jan 2019

Generalization of feature embeddings transferred from different video anomaly detection domains

28 Jan 2019Fernando Pereira dos Santos et al

By proposing novel cross-domain generalization measures, we study how source features can generalize for different target video domains, as well as analyze unsupervised transfer learning.

ANOMALY DETECTION DOMAIN GENERALIZATION TRANSFER LEARNING

28 Jan 2019