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 591–600 of 703 papers

Title	Date	Tasks	Status
Semi-supervised Outlier Detection using Generative And Adversary Framework	Jan 1, 2018	General ClassificationMulti-class Classification	—Unverified
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection	Dec 23, 2017	Outlier Detection	—Unverified
Multiple testing for outlier detection in functional data	Dec 13, 2017	Dimensionality ReductionOutlier Detection	—Unverified
Outlier Detection by Consistent Data Selection Method	Dec 12, 2017	Anomaly DetectionClustering	—Unverified
Identifying Outlier Arms in Multi-Armed Bandit	Dec 1, 2017	Outlier Detection	—Unverified
Valid Inference Corrected for Outlier Removal	Nov 29, 2017	Outlier Detectionvalid	CodeCode Available
Contextual Outlier Interpretation	Nov 28, 2017	feature selectionOutlier Detection	—Unverified
STWalk: Learning Trajectory Representations in Temporal Graphs	Nov 11, 2017	Change Point DetectionOutlier Detection	CodeCode Available
Blind Image Deblurring With Outlier Handling	Oct 1, 2017	Blind Image DeblurringDeblurring	—Unverified
A Simple and Fast Algorithm for L1-norm Kernel PCA	Sep 28, 2017	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