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 331–340 of 703 papers

Title	Date	Tasks	Status	Hype
Distance Based Pattern Driven Mining for Outlier Detection in High Dimensional Big Dataset	Oct 5, 2021	Outlier Detection	—Unverified	0
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control	Oct 3, 2021	BIG-bench Machine LearningInstance Segmentation	CodeCode Available	1
Probabilistic Robust Autoencoders for Outlier Detection	Oct 1, 2021	Anomaly DetectionOutlier Detection	—Unverified	0
When Complexity Is Good: Do We Need Recurrent Deep Learning For Time Series Outlier Detection?	Sep 29, 2021	Home Activity MonitoringOutlier Detection	—Unverified	0
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics	Sep 20, 2021	Binary ClassificationFraud Detection	—Unverified	0
A geometric perspective on functional outlier detection	Sep 14, 2021	Outlier Detection	CodeCode Available	0
Cascade Watchdog: A Multi-tiered Adversarial Guard for Outlier Detection	Aug 20, 2021	Outlier DetectionOut-of-Distribution Detection	—Unverified	0
Robust outlier detection by de-biasing VAE likelihoods	Aug 19, 2021	DecoderOutlier Detection	—Unverified	0
Out-of-Distribution Detection Using Outlier Detection Methods	Aug 18, 2021	Outlier DetectionOut-of-Distribution Detection	CodeCode Available	0
Discovering outliers in the Mars Express thermal power consumption patterns	Aug 4, 2021	Outlier 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