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 371–380 of 703 papers

Title	Date	Tasks	Status	Hype
Testing for Outliers with Conformal p-values	Apr 16, 2021	Outlier Detectionvalid	CodeCode Available	1
Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning	Apr 16, 2021	Outlier Detection	—Unverified	0
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions	Apr 8, 2021	Outlier DetectionOut of Distribution (OOD) Detection	—Unverified	0
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?	Apr 3, 2021	Model SelectionOutlier Detection	—Unverified	0
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems	Mar 31, 2021	ArticlesClustering	—Unverified	0
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks	Mar 29, 2021	Outlier DetectionOut-of-Distribution Detection	—Unverified	0
ast2vec: Utilizing Recursive Neural Encodings of Python Programs	Mar 22, 2021	ClusteringOutlier Detection	CodeCode Available	0
SSD: A Unified Framework for Self-Supervised Outlier Detection	Mar 22, 2021	Anomaly DetectionOutlier Detection	CodeCode Available	1
Homophily Outlier Detection in Non-IID Categorical Data	Mar 21, 2021	feature selectionOutlier Detection	—Unverified	0
Fairness-aware Outlier Ensemble	Mar 17, 2021	FairnessFraud Detection	—Unverified	0

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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