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 601–610 of 703 papers

Title	Date	Tasks	Status
GENDIS: GENetic DIscovery of Shapelets	Sep 13, 2019	Outlier DetectionTime Series	CodeCode Available
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis	Jan 10, 2024	Outlier Detection	CodeCode Available
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video	Dec 11, 2018	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available
Generative Adversarial Active Learning for Unsupervised Outlier Detection	Sep 28, 2018	Active LearningBinary Classification	CodeCode Available
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale	Dec 1, 2024	Link PredictionOutlier Detection	CodeCode Available
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data	Apr 20, 2024	Active LearningGenerative Adversarial Network	CodeCode Available
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution	May 19, 2022	Bayesian OptimizationExperimental Design	CodeCode Available
Rule-based outlier detection of AI-generated anatomy segmentations	Jun 20, 2024	AnatomyOutlier Detection	CodeCode Available
Geometry- and Accuracy-Preserving Random Forest Proximities	Jan 29, 2022	Data VisualizationImputation	CodeCode Available
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient	Dec 11, 2024	Anomaly DetectionOutlier Detection	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