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 671–680 of 703 papers

Title	Date	Tasks	Status
Unleashing the Potential of Unsupervised Deep Outlier Detection through Automated Training Stopping	May 26, 2023	Outlier Detection	CodeCode Available
Robust Conformal Outlier Detection under Contaminated Reference Data	Feb 7, 2025	Conformal PredictionOutlier Detection	CodeCode Available
Data-driven modeling of time-domain induced polarization	Jul 30, 2021	DenoisingGeophysics	CodeCode Available
Data Cleaning and Machine Learning: A Systematic Literature Review	Oct 3, 2023	ImputationOutlier Detection	CodeCode Available
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos	Mar 8, 2019	Anomaly DetectionDecoder	CodeCode Available
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning	Nov 17, 2023	Multi-Task LearningOutlier Detection	CodeCode Available
Anomaly Detection in Networks via Score-Based Generative Models	Jun 27, 2023	Anomaly DetectionOutlier Detection	CodeCode Available
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection	Jun 13, 2018	Anomaly DetectionDisease Prediction	CodeCode Available
Towards Predicting the Quality of Red Wine Using Novel Machine Learning Methods for Classification, Data Visualization and Analysis	Jan 18, 2024	Data VisualizationEnsemble Learning	CodeCode Available
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup	Apr 16, 2022	intent-classificationIntent Classification	CodeCode Available

Show:10 25 50

← PrevPage 68 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