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 391–400 of 703 papers

Title	Date	Tasks	Status
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation	Apr 28, 2021	Gaussian ProcessesImage Segmentation	—Unverified
tsrobprep - an R package for robust preprocessing of time series data	Apr 26, 2021	ClusteringImputation	—Unverified
Unsupervised Instance Selection with Low-Label, Supervised Learning for Outlier Detection	Apr 26, 2021	Active LearningOutlier Detection	CodeCode Available
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation	Apr 22, 2021	Outlier Detectionregression	—Unverified
Continual Learning with Fully Probabilistic Models	Apr 19, 2021	Boundary Detectionclass-incremental learning	—Unverified
Image Modeling with Deep Convolutional Gaussian Mixture Models	Apr 19, 2021	ClusteringOutlier Detection	—Unverified
Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning	Apr 16, 2021	Outlier Detection	—Unverified
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions	Apr 8, 2021	Outlier DetectionOut of Distribution (OOD) Detection	—Unverified
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?	Apr 3, 2021	Model SelectionOutlier Detection	—Unverified
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems	Mar 31, 2021	ArticlesClustering	—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