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 391–400 of 703 papers

Title	Date	Tasks	Status
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version)	Aug 28, 2024	Outlier Detection	—Unverified
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels	Jan 25, 2015	AttributeLearning-To-Rank	—Unverified
Robust Subspace Outlier Detection in High Dimensional Space	May 5, 2014	Outlier DetectionVocal Bursts Intensity Prediction	—Unverified
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection	Jun 7, 2022	Dynamic Time WarpingOutlier Detection	—Unverified
Robust Uncertainty Estimation for Classification of Maritime Objects	Jul 3, 2023	ClassificationOutlier Detection	—Unverified
Robust Variational Autoencoder	May 23, 2019	Outlier Detection	—Unverified
RODD: Robust Outlier Detection in Data Cubes	Mar 14, 2023	Outlier Detection	—Unverified
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition	Aug 1, 2020	Outlier DetectionSimultaneous Localization and Mapping	—Unverified
Rotation Averaging with Attention Graph Neural Networks	Oct 14, 2020	Graph Neural NetworkOutlier Detection	—Unverified
Safeguarding against spurious AI-based predictions: The case of automated verbal memory assessment	Jun 1, 2021	AttributeInductive Bias	—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