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 341–350 of 703 papers

Title	Date	Tasks	Status
A Meta-Learning Algorithm for Interrogative Agendas	Jan 4, 2023	Meta-LearningOutlier Detection	—Unverified
Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning	Apr 16, 2021	Outlier Detection	—Unverified
Integer Programming Relaxations for Integrated Clustering and Outlier Detection	Mar 6, 2014	ClusteringOutlier Detection	—Unverified
Symbiotic Hybrid Neural Network Watchdog For Outlier Detection	Feb 28, 2021	Outlier Detection	—Unverified
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach	May 8, 2025	Conformal PredictionImputation	—Unverified
Incremental Outlier Detection Modelling Using Streaming Analytics in Finance & Health Care	May 17, 2023	Diabetes PredictionFraud Detection	—Unverified
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets	Apr 28, 2022	Federated Learningimbalanced classification	—Unverified
A probabilistic view on Riemannian machine learning models for SPD matrices	May 5, 2025	Dimensionality ReductionOutlier Detection	—Unverified
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect	Aug 19, 2024	MemorizationOutlier Detection	—Unverified
Improving Solar Flare Prediction by Time Series Outlier Detection	Jun 14, 2022	Outlier DetectionPrediction	—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