Outlier Detection

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 651–675 of 703 papers

Title	Date	Tasks	Status
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs	Sep 5, 2023	Lesion SegmentationOutlier Detection	CodeCode Available
Outlier-Detection for Reactive Machine Learned Potential Energy Surfaces	Feb 27, 2024	Outlier DetectionUncertainty Quantification	CodeCode Available
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning	Dec 1, 2019	Anomaly DetectionOutlier Detection	CodeCode Available
Outlier Detection for Text Data : An Extended Version	Jan 5, 2017	AttributeOutlier Detection	CodeCode Available
Outlier Detection for Trajectories via Flow-embeddings	Nov 25, 2021	Outlier Detection	CodeCode Available
Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak Rebates	Oct 29, 2024	Anomaly DetectionOutlier Detection	CodeCode Available
Sparse Kernel PCA for Outlier Detection	Sep 7, 2018	Outlier Detection	CodeCode Available
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs	Jul 17, 2022	Outlier Detection	CodeCode Available
Anomaly Detection via oversampling Principal Component Analysis	Jul 1, 2013	Anomaly DetectionOutlier Detection	CodeCode Available
Rethinking Unsupervised Outlier Detection via Multiple Thresholding	Jul 7, 2024	Outlier Detection	CodeCode Available
Road User Abnormal Trajectory Detection using a Deep Autoencoder	Aug 25, 2018	BIG-bench Machine LearningOutlier Detection	CodeCode Available
Deep Semi-Supervised Anomaly Detection	Jun 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits	Aug 4, 2024	Few-Shot LearningOpen Set Learning	CodeCode Available
Automatically detecting anomalous exoplanet transits	Nov 16, 2021	Outlier Detection	CodeCode Available
Outlier detection in non-elliptical data by kernel MRCD	Aug 5, 2020	Outlier Detection	CodeCode Available
Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian	Oct 25, 2018	Anomaly DetectionClustering	CodeCode Available
Deep One-Class Classification	Jul 1, 2018	Anomaly DetectionClassification	CodeCode Available
Automated Generation of Multilingual Clusters for the Evaluation of Distributed Representations	Nov 4, 2016	Outlier DetectionSentiment Analysis	CodeCode Available
Outlier detection of vital sign trajectories from COVID-19 patients	Jul 15, 2022	Outlier DetectionTime Series	CodeCode Available
Outlier Detection on Mixed-Type Data: An Energy-based Approach	Aug 17, 2016	Outlier DetectionVocal Bursts Type Prediction	CodeCode Available
Unleashing the Potential of Unsupervised Deep Outlier Detection through Automated Training Stopping	May 26, 2023	Outlier Detection	CodeCode Available
Robust Conformal Outlier Detection under Contaminated Reference Data	Feb 7, 2025	Conformal PredictionOutlier Detection	CodeCode Available
Data-driven modeling of time-domain induced polarization	Jul 30, 2021	DenoisingGeophysics	CodeCode Available
Data Cleaning and Machine Learning: A Systematic Literature Review	Oct 3, 2023	ImputationOutlier Detection	CodeCode Available
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos	Mar 8, 2019	Anomaly DetectionDecoder	CodeCode Available

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All datasets ECG5000 Balance scale_class 1 Breast cancer Wisconsin_class 2 Breast cancer Wisconsin_class 4 Fashion-MNIST Glass identification Heart-C Hepatitis Internet Ad Ionosphere_class b SKAB

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	VRAE+SVM	Accuracy	0.98	—	Unverified
2	F-t ALSTM-FCN	Accuracy	0.95	—	Unverified
3	GENDIS	Accuracy	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	99.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	37.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	65.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PAE	AUROC	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	99.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIX	AUC	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIX	AUC-ROC	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIX	AUC-ROC	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	86.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSTMCaps	Average F1	0.74	—	Unverified