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 571–580 of 703 papers

Title	Date	Tasks	Status
Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging	May 4, 2018	Lesion DetectionOutlier Detection	—Unverified
A Rank-Based Similarity Metric for Word Embeddings	May 4, 2018	ClusteringOutlier Detection	—Unverified
An Evaluation of Classification and Outlier Detection Algorithms	May 2, 2018	ClassificationGeneral Classification	—Unverified
A refined convergence analysis of pDCA_e with applications to simultaneous sparse recovery and outlier detection	Apr 19, 2018	compressed sensingCPU	—Unverified
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification	Mar 18, 2018	EEGElectroencephalogram (EEG)	—Unverified
Onion-Peeling Outlier Detection in 2-D data Sets	Mar 12, 2018	ClusteringFraud Detection	—Unverified
Sequential Outlier Detection based on Incremental Decision Trees	Mar 9, 2018	Outlier Detection	—Unverified
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions	Feb 27, 2018	ClusteringOutlier Detection	CodeCode Available
Adversarially Learned One-Class Classifier for Novelty Detection	Feb 25, 2018	Anomaly DetectionNovelty Detection	CodeCode Available
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning	Feb 20, 2018	BIG-bench Machine Learningfeature selection	—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