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 511–520 of 703 papers

Title	Date	Tasks	Status
An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines	Jan 1, 2021	open-set classificationOpen Set Learning	—Unverified
An Evaluation of Classification and Outlier Detection Algorithms	May 2, 2018	ClassificationGeneral Classification	—Unverified
An Evolutionary Game based Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Wireless Sensor Networks	Jul 21, 2022	ClusteringOutlier Detection	—Unverified
Component-wise Adaptive Trimming For Robust Mixture Regression	May 23, 2020	Outlier Detectionparameter estimation	—Unverified
A New Approach To Two-View Motion Segmentation Using Global Dimension Minimization	Apr 10, 2013	ClusteringMotion Segmentation	—Unverified
An Improved Heart Disease Prediction Using Stacked Ensemble Method	Apr 12, 2023	DiagnosticDisease Prediction	—Unverified
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies	Dec 9, 2020	Intrusion DetectionOutlier Detection	—Unverified
Annealed Denoising score matching: learning Energy based model in high-dimensional spaces	Sep 25, 2019	DenoisingImage Inpainting	—Unverified
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder	Mar 10, 2023	image-classificationImage Classification	—Unverified
Anomalous Sound Detection Based on Machine Activity Detection	Apr 15, 2022	Action DetectionActivity 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