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 11–20 of 703 papers

Title	Date	Tasks	Status
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach	May 8, 2025	Conformal PredictionImputation	—Unverified
Comparison of Visual Trackers for Biomechanical Analysis of Running	May 7, 2025	Outlier DetectionPose Estimation	—Unverified
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest	May 6, 2025	Outlier Detection	—Unverified
A probabilistic view on Riemannian machine learning models for SPD matrices	May 5, 2025	Dimensionality ReductionOutlier Detection	—Unverified
Unsupervised outlier detection to improve bird audio dataset labels	Apr 25, 2025	Dimensionality ReductionOutlier Detection	—Unverified
Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions	Apr 22, 2025	Event DetectionOutlier Detection	—Unverified
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data	Apr 10, 2025	feature selectionOne-Class Classification	CodeCode Available
Robust Randomized Low-Rank Approximation with Row-Wise Outlier Detection	Apr 3, 2025	Outlier Detection	—Unverified
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies	Mar 31, 2025	Data AugmentationDomain Adaptation	—Unverified
TRIDIS: A Comprehensive Medieval and Early Modern Corpus for HTR and NER	Mar 25, 2025	Handwritten Text RecognitionHTR	—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