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Anomaly Detection

79 papers with code · Methodology

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Functional Isolation Forest

9 Apr 2019Gstaerman/FIF

For the purpose of monitoring the behavior of complex infrastructures (e. g. aircrafts, transport or energy networks), high-rate sensors are deployed to capture multivariate data, generally unlabeled, in quasi continuous-time to detect quickly the occurrence of anomalies that may jeopardize the smooth operation of the system of interest.

ANOMALY DETECTION

2
09 Apr 2019

Fence GAN: Towards Better Anomaly Detection

2 Apr 2019phuccuongngo99/Fence_GAN

However, the traditional GAN loss is not directly aligned with the anomaly detection objective: it encourages the distribution of the generated samples to overlap with the real data and so the resulting discriminator has been found to be ineffective as an anomaly detector.

ANOMALY DETECTION

1
02 Apr 2019

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

8 Mar 2019RomeroBarata/skeleton_based_anomaly_detection

Appearance features have been widely used in video anomaly detection even though they contain complex entangled factors.

ANOMALY DETECTION OUTLIER DETECTION

2
08 Mar 2019

Unsupervised Traffic Accident Detection in First-Person Videos

2 Mar 2019MoonBlvd/tad-IROS2019-TBD-

In this paper, we propose an unsupervised approach for traffic accident detection in first-person videos.

ANOMALY DETECTION

4
02 Mar 2019

Twitch Plays Pokemon, Machine Learns Twitch: Unsupervised Context-Aware Anomaly Detection for Identifying Trolls in Streaming Data

17 Feb 2019ahaque/twitch-troll-detection

With the increasing importance of online communities, discussion forums, and customer reviews, Internet "trolls" have proliferated thereby making it difficult for information seekers to find relevant and correct information.

ANOMALY DETECTION

63
17 Feb 2019

WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection

14 Feb 2019BinhangYuan/WaveletFCNN

WaveletFCNN outperforms the state-of-the-art FCNN for the univariate time series classification on the UCR time series archive benchmarks.

ANOMALY DETECTION TIME SERIES TIME SERIES CLASSIFICATION

5
14 Feb 2019

BINet: Multi-perspective Business Process Anomaly Classification

8 Feb 2019tnolle/binet

Finally, we demonstrate that a simple set of rules can be used to utilize the output of BINet for anomaly classification.

ANOMALY DETECTION

2
08 Feb 2019

Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability

23 Jan 2019shubhomoydas/ad_examples

In this paper, we study the problem of active learning to automatically tune ensemble of anomaly detectors to maximize the number of true anomalies discovered.

ACTIVE LEARNING ANOMALY DETECTION

297
23 Jan 2019

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

15 Jan 2019LiDan456/MAD-GANs

The prevalence of networked sensors and actuators in many real-world systems such as smart buildings, factories, power plants, and data centers generate substantial amounts of multivariate time series data for these systems.

ANOMALY DETECTION TIME SERIES

43
15 Jan 2019

Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences

8 Jan 2019stephanieger/sequence-anomaly-detection

We introduce synthetic oversampling in anomaly detection for multi-feature sequence datasets based on autoencoders and generative adversarial networks.

ANOMALY DETECTION OUTLIER DETECTION

0
08 Jan 2019