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 311–320 of 703 papers

Title	Date	Tasks	Status
Generic Outlier Detection in Multi-Armed Bandit	Jul 14, 2020	Outlier Detection	—Unverified
Geometric Tight Frame based Stylometry for Art Authentication of van Gogh Paintings	Jul 2, 2014	ClassificationGeneral Classification	—Unverified
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory	Feb 22, 2023	ClusteringData Compression	—Unverified
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?	Apr 3, 2021	Model SelectionOutlier Detection	—Unverified
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)	Apr 13, 2019	ClassificationGeneral Classification	—Unverified
GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection	Feb 2, 2016	Anomaly DetectionOutlier Detection	—Unverified
GWQ: Gradient-Aware Weight Quantization for Large Language Models	Oct 30, 2024	Outlier DetectionQuantization	—Unverified
HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI	Jun 28, 2024	distortion correctionOutlier Detection	—Unverified
Identifying Outlier Arms in Multi-Armed Bandit	Dec 1, 2017	Outlier Detection	—Unverified
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation	Sep 8, 2011	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