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 381–390 of 703 papers

Title	Date	Tasks	Status
Robust factored principal component analysis for matrix-valued outlier accommodation and detection	Dec 13, 2021	Dimensionality ReductionOutlier Detection	—Unverified
Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee	May 22, 2022	Conformal PredictionOutlier Detection	—Unverified
Robust Indoor Localization via Conformal Methods and Variational Bayesian Adaptive Filtering	May 13, 2025	Conformal PredictionIndoor Localization	—Unverified
Robust k-means: a Theoretical Revisit	Dec 1, 2016	ClusteringOutlier Detection	—Unverified
Robust Multi-Source Domain Adaptation under Label Shift	Mar 4, 2025	Domain AdaptationOutlier Detection	—Unverified
Robust Object Tracking with Crow Search Optimized Multi-cue Particle Filter	Jun 11, 2018	Object TrackingOutlier Detection	—Unverified
Robust Outlier Detection Technique in Data Mining: A Univariate Approach	Jun 19, 2014	Outlier Detection	—Unverified
Robust PCA and subspace tracking from incomplete observations using L0-surrogates	Oct 2, 2012	Outlier Detection	—Unverified
Robust Randomized Low-Rank Approximation with Row-Wise Outlier Detection	Apr 3, 2025	Outlier Detection	—Unverified
Evaluating Visual Properties via Robust HodgeRank	Aug 15, 2014	Graph SamplingOutlier Detection	—Unverified

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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