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Outlier Detection

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하위 태스크: 4
평가표: 11
보존된 평가 기록: 13

Outlier Detection is a task of identifying a subset of a given data set which are considered anomalous in that they are unusual from other instances. It is one of the core data mining tasks and is central to many applications. In the security field, it can be used to identify potentially threatening users, in the manufacturing field it can be used to identify parts that are likely to fail.

Source: Coverage-based Outlier Explanation

코드

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

https://github.com/anewgithubname/Truncated-Score-Matching

공식 코드

Estimating Density Models with Truncation Boundaries using Score Matching

https://github.com/aryan-garg/pecnet-pedestrian-trajectory-prediction

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G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System

https://github.com/automl/deepcave

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DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning

https://github.com/bd-if/facemap

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FaceMap: Towards Unsupervised Face Clustering via Map Equation

https://github.com/belph/wiki-sem-500

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Automated Generation of Multilingual Clusters for the Evaluation of Distributed Representations

https://github.com/biqing-qi/interactive-continual-learning-fast-and-slow-thinking

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Interactive Continual Learning: Fast and Slow Thinking

https://github.com/blupblupblup/doppler-signatures-generation

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Near out-of-distribution detection for low-resolution radar micro-Doppler signatures

https://github.com/blupblupblup/near-ood-doppler-signatures

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Near out-of-distribution detection for low-resolution radar micro-Doppler signatures

https://github.com/boortel/sift-and-surf-based-ad

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SIFT and SURF based feature extraction for the anomaly detection

https://github.com/brandeis-machine-learning/FairOutlierDetection

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Deep Clustering based Fair Outlier Detection

https://github.com/buds-lab/aldiplusplus

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ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles

https://github.com/ca1man-2022/awesome-good-detection

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Out-of-Distribution Detection on Graphs: A Survey

https://github.com/caesarcai/lrpca

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Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection

https://github.com/christophhoenes/anomalousexoplanettransits

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Automatically detecting anomalous exoplanet transits

https://github.com/cmu-delphi/covidcast-indicators

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Computationally Assisted Quality Control for Public Health Data Streams

https://github.com/coglabiisc/googleresearch

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Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++

https://github.com/continental/local-concept-embeddings

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Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces

https://github.com/daniellli/lion

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LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data

https://github.com/daniellli/pad

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LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data

https://github.com/dassangita844/preprocessing_covid-19_dataset_india

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Impact of Comprehensive Data Preprocessing on Predictive Modelling of COVID-19 Mortality

https://github.com/datamllab/pyodds

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PyODDS: An End-to-End Outlier Detection System

https://github.com/datamllab/tods

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TODS: An Automated Time Series Outlier Detection System

https://github.com/david-cortes/isotree

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Distance approximation using Isolation Forests

https://github.com/david-cortes/outliertree

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Explainable outlier detection through decision tree conditioning

https://github.com/davnn/probabilistic-distance

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A Probabilistic Transformation of Distance-Based Outliers

https://github.com/dccastro/Morpho-MNIST

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Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

https://github.com/denisilie94/pyod-dl

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Anomaly Detection with Selective Dictionary Learning

https://github.com/dino-chiio/fedmse

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FedMSE: Federated learning for IoT network intrusion detection

https://github.com/dotnet54/multivariate-measures

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Elastic Similarity and Distance Measures for Multivariate Time Series

https://github.com/doudouhhh/Multi-T

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Rethinking Unsupervised Outlier Detection via Multiple Thresholding

https://github.com/ebennequin/few-shot-open-set

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Open-Set Likelihood Maximization for Few-Shot Learning

https://github.com/edouardfouche/SGMRD

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Efficient Subspace Search in Data Streams

https://github.com/ege-erdogan/splitguard

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SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection

https://github.com/ege-erdogan/splitout

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SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection

https://github.com/elki-project/elki

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ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"

https://github.com/ellenzhuwang/VK_OOD

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Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis

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