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Time Series Anomaly Detection With Adversarial Reconstruction Networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-30490-4_56openalex-snapshot
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
inferredcites →https://doi.org/10.1007/978-3-319-59050-9_12openalex-snapshot
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
inferredcites →https://doi.org/10.1007/978-3-319-71246-8_1openalex-snapshot
BeatLex: Summarizing and Forecasting Time Series with Patterns
inferredcites →https://doi.org/10.1007/978-3-319-71246-8_37openalex-snapshot
PowerCast: Mining and Forecasting Power Grid Sequences
inferredcites →https://doi.org/10.1007/978-94-015-3994-4openalex-snapshot
Identification of Outliers
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Speech discrimination by dynamic programming
inferredcites →https://doi.org/10.1007/s00778-021-00655-8openalex-snapshot
Unsupervised and scalable subsequence anomaly detection in large data series
inferredcites →https://doi.org/10.1016/j.bbe.2019.06.001openalex-snapshot
Inter-patient ECG classification with convolutional and recurrent neural networks
inferredcites →https://doi.org/10.1016/j.compbiomed.2020.103801openalex-snapshot
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
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The impact of the MIT-BIH Arrhythmia Database
inferredcites →https://doi.org/10.1109/cyswater.2016.7469060openalex-snapshot
SWaT: a water treatment testbed for research and training on ICS security
inferredcites →https://doi.org/10.1109/icbk.2019.00031openalex-snapshot
Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile
inferredcites →https://doi.org/10.1109/icdm.2014.36openalex-snapshot
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective
inferredcites →https://doi.org/10.1109/icdm.2016.0179openalex-snapshot
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets
inferredcites →https://doi.org/10.1109/itsc.2019.8916999openalex-snapshot
Recurrent Conditional Generative Adversarial Networks for Autonomous Driving Sensor Modelling
inferredcites →https://doi.org/10.1109/tbme.2015.2468589openalex-snapshot
Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tkde.2019.2946162openalex-snapshot
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective
inferredcites →https://doi.org/10.1137/1.9781611975321.60openalex-snapshot
StreamCast: Fast and Online Mining of Power Grid Time Sequences
inferredcites →https://doi.org/10.1137/1.9781611975673.70openalex-snapshot
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns
inferredcites →https://doi.org/10.1145/1541880.1541882openalex-snapshot
Anomaly detection
inferredcites →https://doi.org/10.1145/1557019.1557078openalex-snapshot
DynaMMo
inferredcites →https://doi.org/10.1145/2588555.2588556openalex-snapshot
AutoPlait
inferredcites →https://doi.org/10.1145/3097983.3098144openalex-snapshot
Anomaly Detection in Streams with Extreme Value Theory
inferredcites →https://doi.org/10.1145/3178876.3185996openalex-snapshot
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
inferredcites →https://doi.org/10.1145/3292500.3330657openalex-snapshot
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning
inferredcites →https://doi.org/10.1145/3292500.3330672openalex-snapshot
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
inferredcites →https://doi.org/10.1145/3394486.3403392openalex-snapshot
USAD
inferredcites →https://doi.org/10.1214/aoms/1177699147openalex-snapshot
Statistical Inference for Probabilistic Functions of Finite State Markov Chains
inferredcites →https://doi.org/10.1214/aoms/1177729885openalex-snapshot
Sample Criteria for Testing Outlying Observations
inferredcites →https://doi.org/10.14778/3407790.3407792openalex-snapshot
Series2Graph
inferredcites →https://doi.org/10.1609/aaai.v33i01.33011409openalex-snapshot
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
inferredcites →https://doi.org/10.1609/aaai.v34i04.5835openalex-snapshot
TellTail: Fast Scoring and Detection of Dense Subgraphs
inferredcites →https://doi.org/10.2298/yjor110308013jopenalex-snapshot
Quantile estimation for the generalized pareto distribution with application to finance
inferredcites →https://doi.org/10.24963/ijcai.2018/460openalex-snapshot
NeuCast: Seasonal Neural Forecast of Power Grid Time Series
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN(Generative Adversarial Nets)
inferredcites →https://doi.org/10.48550/arxiv.1707.01836openalex-snapshot
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1802.06222openalex-snapshot
Efficient GAN-Based Anomaly Detection
inferredcites →https://doi.org/10.5281/zenodo.11048614openalex-snapshot
BioSPPy - Biosignal Processing in Python

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Applying artificial intelligence tools for time series analysis
inferred← citeshttps://doi.org/10.32604/cmes.2023.047065openalex-snapshot
Cross-Dimension Attentive Feature Fusion Network for Unsupervised Time-Series Anomaly Detection
inferred← citeshttps://doi.org/10.32604/iasc.2023.039989openalex-snapshot
Anomaly Detection and Access Control for Cloud-Edge Collaboration Networks
inferred← citeshttps://doi.org/10.3390/ai6110289openalex-snapshot
DVAD: A Dynamic Visual Adaptation Framework for Multi-Class Anomaly Detection
inferred← citeshttps://doi.org/10.3390/computation12020021openalex-snapshot
Unraveling Arrhythmias with Graph-Based Analysis: A Survey of the MIT-BIH Database
inferred← citeshttps://doi.org/10.3390/electronics14132631openalex-snapshot
DCCopGAN: Deep Convolutional Copula-GAN for Unsupervised Multi-Sensor Anomaly Detection in Industrial Gearboxes
inferred← citeshttps://doi.org/10.3390/s23115237openalex-snapshot
A Systematic Survey of Data Augmentation of ECG Signals for AI Applications
inferred← citeshttps://doi.org/10.3390/s26051589openalex-snapshot
Sparse Temporal AutoEncoder for ECG Anomaly Detection
inferred← citeshttps://doi.org/10.3390/s26185948openalex-snapshot
TGLDA: Tail-Guided Low-Density Normal Data Augmentation for Industrial Control Systems
inferred← citeshttps://doi.org/10.4018/joeuc.342094openalex-snapshot
Management Analysis Method of Multivariate Time Series Anomaly Detection in Financial Risk Assessment
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