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 71–80 of 703 papers

Title	Date	Tasks	Status	Hype
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning	Mar 21, 2023	Outlier Detection	CodeCode Available	1
DEUP: Direct Epistemic Uncertainty Prediction	Feb 16, 2021	Active Learningimage-classification	CodeCode Available	1
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement	Sep 25, 2022	Outlier Detection	CodeCode Available	1
Energy-based Detection of Adverse Weather Effects in LiDAR Data	May 25, 2023	Autonomous VehiclesOutlier Detection	CodeCode Available	1
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder	Mar 10, 2023	image-classificationImage Classification	—Unverified	0
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy	Dec 2, 2016	AstronomyClustering	—Unverified	0
Annealed Denoising score matching: learning Energy based model in high-dimensional spaces	Sep 25, 2019	DenoisingImage Inpainting	—Unverified	0
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies	Dec 9, 2020	Intrusion DetectionOutlier Detection	—Unverified	0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity	Jul 1, 2018	Named Entity Recognition (NER)Outlier Detection	—Unverified	0
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction	Nov 8, 2022	Active LearningOutlier Detection	—Unverified	0

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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