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 141–150 of 703 papers

Title	Date	Tasks	Status
A Rank-Based Similarity Metric for Word Embeddings	May 4, 2018	ClusteringOutlier Detection	—Unverified
Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning	Apr 16, 2021	Outlier Detection	—Unverified
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation	Apr 22, 2021	Outlier Detectionregression	—Unverified
Conditional Testing based on Localized Conformal p-values	Sep 25, 2024	Outlier DetectionPrediction Intervals	—Unverified
Symbiotic Hybrid Neural Network Watchdog For Outlier Detection	Feb 28, 2021	Outlier Detection	—Unverified
A probabilistic view on Riemannian machine learning models for SPD matrices	May 5, 2025	Dimensionality ReductionOutlier Detection	—Unverified
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect	Aug 19, 2024	MemorizationOutlier Detection	—Unverified
A Practical Algorithm for Distributed Clustering and Outlier Detection	May 24, 2018	ClusteringOutlier Detection	—Unverified
Applications of Data Mining Techniques for Vehicular Ad hoc Networks	Jun 19, 2018	ClassificationClustering	—Unverified
ALRe: Outlier Detection for Guided Refinement	Aug 1, 2020	Outlier 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