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 441–450 of 703 papers

Title	Date	Tasks	Status
ALRe: Outlier Detection for Guided Refinement	Aug 1, 2020	Outlier Detection	—Unverified
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition	Aug 1, 2020	Outlier DetectionSimultaneous Localization and Mapping	—Unverified
Byzantine-Resilient Secure Federated Learning	Jul 21, 2020	Federated LearningOutlier Detection	—Unverified
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description	Jul 20, 2020	Community DetectionGraph Embedding	CodeCode Available
In search of the weirdest galaxies in the Universe	Jul 16, 2020	ClusteringDimensionality Reduction	CodeCode Available
Data Stream Clustering: A Review	Jul 16, 2020	ClusteringOutlier Detection	—Unverified
Generic Outlier Detection in Multi-Armed Bandit	Jul 14, 2020	Outlier Detection	—Unverified
It Is Likely That Your Loss Should be a Likelihood	Jul 12, 2020	Outlier Detection	—Unverified
Learning low-dimensional manifolds under the L0-norm constraint for unsupervised outlier detection	Jul 9, 2020	Outlier Detection	—Unverified
Deep Learning for Anomaly Detection: A Review	Jul 6, 2020	Anomaly DetectionDeep Learning	—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