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 261–270 of 703 papers

Title	Date	Tasks	Status	Hype
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging	Jul 15, 2022	Federated LearningOutlier Detection	CodeCode Available	0
Outlier detection of vital sign trajectories from COVID-19 patients	Jul 15, 2022	Outlier DetectionTime Series	CodeCode Available	0
A geometric framework for outlier detection in high-dimensional data	Jul 1, 2022	Anomaly DetectionOutlier Detection	—Unverified	0
K-ARMA Models for Clustering Time Series Data	Jun 30, 2022	ClusteringOutlier Detection	—Unverified	0
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs	Jun 21, 2022	Anomaly DetectionBenchmarking	CodeCode Available	0
ADBench: Anomaly Detection Benchmark	Jun 19, 2022	Anomaly DetectionOutlier Detection	CodeCode Available	3
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution	Jun 15, 2022	Model SelectionOutlier Detection	CodeCode Available	0
Improving Solar Flare Prediction by Time Series Outlier Detection	Jun 14, 2022	Outlier DetectionPrediction	—Unverified	0
What do we learn? Debunking the Myth of Unsupervised Outlier Detection	Jun 8, 2022	Outlier DetectionOut of Distribution (OOD) Detection	—Unverified	0
DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning	Jun 7, 2022	AutoMLBIG-bench Machine Learning	CodeCode Available	3

Show:10 25 50

← PrevPage 27 of 71Next →

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