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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/tianyu0207/weakly-polyp

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Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

https://github.com/timpostuvan/CTDG-link-anomaly-detection

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Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs

https://github.com/timpostuvan/tgb-link-anomaly-detection-baselines

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Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs

https://github.com/tinalrj/deeppro

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Probing Deep into Temporal Profile Makes the Infrared Small Target Detector Much Better

https://github.com/tnolle/binet

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BINet: Multi-perspective Business Process Anomaly Classification

https://github.com/tombarba/tinyweaklyisolationforest

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TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios

https://github.com/tony10101105/locally-interpretable-one-class-anomaly-detection-for-credit-card-fraud-detection

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Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection

https://github.com/topologicalpooling/TopologicalPool

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Topological Pooling on Graphs

https://github.com/tracinad/tracinad

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TracInAD: Measuring Influence for Anomaly Detection

https://github.com/tszydlo/FogML

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Online Anomaly Detection Based On Reservoir Sampling and LOF for IoT devices

https://github.com/tszydlo/fogml-arduino

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Online Anomaly Detection Based On Reservoir Sampling and LOF for IoT devices

https://github.com/tudelft-cda-lab/encode

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ENCODE: Encoding NetFlows for Network Anomaly Detection

https://github.com/tudelft-cda-lab/flexfringe

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FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata

https://github.com/tufts-ml/GAN-Ensemble-for-Anomaly-Detection

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GAN Ensemble for Anomaly Detection

https://github.com/tuslkkk/tadpak

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Towards a Rigorous Evaluation of Time-series Anomaly Detection

https://github.com/twkang43/sparse-maf-aae

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A real-time anomaly detection method for robots based on a flexible and sparse latent space

https://github.com/tzjtatata/myriad

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Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

https://github.com/tzjtatata/triad

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Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process

https://github.com/u1overground/cybersummer

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Explainable Machine Learning for Cyberattack Identification from Traffic Flows

https://github.com/uark-aicv/tsrnet

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TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network

https://github.com/ub-gold/ub-gold

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Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark

https://github.com/ubc-systopia/HyperBrain

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HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks

https://github.com/ubc-systopia/anomuly

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Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction

https://github.com/ucf-crcv/ted-spad

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TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection

https://github.com/ucl-ccs/qsvdd

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A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor

https://github.com/ucsc-real/nrdetector

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Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels

https://github.com/ucsd-hep-ex/GraphAE

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Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance

https://github.com/ugolomoio/e-abin

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E-ABIN: an Explainable module for Anomaly detection in BIological Networks

https://github.com/uia-wisenet/OnlineTopologyId

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Online Topology Identification from Vector Autoregressive Time Series

https://github.com/unihd-ceg/deephydra

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DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems

https://github.com/urbanmobility/SGM_mindspore

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Enhancing Unsupervised Anomaly Detection with Score-Guided Network

https://github.com/urbanmobility/sgm

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Enhancing Unsupervised Anomaly Detection with Score-Guided Network

https://github.com/uri-abd/clam

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Clustered Hierarchical Anomaly and Outlier Detection Algorithms

https://github.com/usc-fortis/ad-agent

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AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

https://github.com/usc-fortis/ad-llm

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AD-LLM: Benchmarking Large Language Models for Anomaly Detection

https://github.com/usc-fortis/nlp-adbench

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NLP-ADBench: NLP Anomaly Detection Benchmark

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