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Anomaly Detection

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하위 태스크: 28
평가표: 76
보존된 평가 기록: 669

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/kakashiz/nedb-net

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Noise and Edge Based Dual Branch Image Manipulation Detection

https://github.com/kapildeshpande/anomaly-detection-in-surveillance-videos

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Anomaly detection in surveillance videos using transformer based attention model

https://github.com/karthajee/aws-if-interpretability

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Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection

https://github.com/katiebuc/gnnad

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Graph Neural Network-Based Anomaly Detection for River Network Systems

https://github.com/kaustubhsridhar/time-series-ood

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CODiT: Conformal Out-of-Distribution Detection in Time-Series Data

https://github.com/kbountro/pSAX

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Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection

https://github.com/kclip/bayesian-dt

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Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning

https://github.com/kdegroup/cmt

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Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph

https://github.com/kennynh/mhetgl

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Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning

https://github.com/kevaldoshi17/Prediction-based-Video-Anomaly-Detection-

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Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate

https://github.com/kevaldoshi17/TiSAT

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TiSAT: Time Series Anomaly Transformer

https://github.com/khalooei/ALOCC-CVPR2018

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Adversarially Learned One-Class Classifier for Novelty Detection

https://github.com/khanhha/crack_segmentation

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Manifolds for Unsupervised Visual Anomaly Detection

https://github.com/khundman/telemanom

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Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

https://github.com/kimmeen/awesome-gnn4ts

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A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

https://github.com/kinit-sk/hybrid-anomaly-detection

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Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly Detection

https://github.com/kiribu10/xsemad

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xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models

https://github.com/konsotirop/adamm

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ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach

https://github.com/korepwx/donut

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Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

https://github.com/kostadinovshalon/oln-ssos

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Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis

https://github.com/kotanakm/cubescope

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Fast and Multi-aspect Mining of Complex Time-stamped Event Streams

https://github.com/koukipp/contrastive_transformers_ids

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Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems

https://github.com/koumajos/CESNET-TimeSeries24-Example

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CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting

https://github.com/kplabs-pl/ESA-ADB

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European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry

https://github.com/kplabs-pl/OPS-SAT-AD

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The OPS-SAT benchmark for detecting anomalies in satellite telemetry

https://github.com/kregg34/emailheaderanomalydetection

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Anomaly Detection in Emails using Machine Learning and Header Information

https://github.com/kskim-phd/vmpr-uad

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3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography

https://github.com/kswoo97/GLAD_MUSE

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Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy

https://github.com/ktr-hubrt/MPN

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Learning Normal Dynamics in Videos with Meta Prototype Network

https://github.com/ktr-hubrt/umil

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Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

https://github.com/kuangzijian/Computer-Vision-and-Normalizing-Flow-Based-Defect-Detection

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Computer Vision and Normalizing Flow-Based Defect Detection

https://github.com/kulikdm/pythresh

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Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection

https://github.com/kumuji/ugains

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UGainS: Uncertainty Guided Anomaly Instance Segmentation

https://github.com/kurtbutler/gp-knowledge

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Trustworthy Prediction with Gaussian Process Knowledge Scores

https://github.com/kwuking/TimeMixer

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TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis

https://github.com/kyeongjoong/inrad

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Time-Series Anomaly Detection with Implicit Neural Representation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.