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 551–575 of 703 papers

Title	Date	Tasks	Status
Efficient variational Bayesian neural network ensembles for outlier detection	Mar 20, 2017	Outlier Detection	CodeCode Available
Elastic Similarity and Distance Measures for Multivariate Time Series	Feb 20, 2021	ClassificationDynamic Time Warping	CodeCode Available
Meta-survey on outlier and anomaly detection	Dec 12, 2023	Anomaly DetectionBenchmarking	CodeCode Available
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data	Jul 1, 2019	Outlier Detection	CodeCode Available
A Fast Greedy Algorithm for Outlier Mining	Apr 1, 2006	Outlier Detection	CodeCode Available
Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison	Dec 20, 2024	Outlier Detection	CodeCode Available
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III	Jul 19, 2019	BIG-bench Machine LearningLength-of-Stay prediction	CodeCode Available
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA	Oct 31, 2024	Deep LearningDiversity	CodeCode Available
A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban Scenes	Jul 3, 2024	3D ReconstructionAutonomous Driving	CodeCode Available
MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data	Nov 1, 2019	Anomaly DetectionOutlier Detection	CodeCode Available
Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes	Dec 27, 2023	ManagementOutlier Detection	CodeCode Available
Partial Wasserstein and Maximum Mean Discrepancy distances for bridging the gap between outlier detection and drift detection	Jun 9, 2021	Drift DetectionNovelty Detection	CodeCode Available
EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy	May 21, 2024	Outlier Detection	CodeCode Available
Estimating Density Models with Truncation Boundaries using Score Matching	Oct 9, 2019	Density EstimationOutlier Detection	CodeCode Available
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging	Jul 15, 2022	Federated LearningOutlier Detection	CodeCode Available
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning	Sep 27, 2018	DiversityDomain Adaptation	CodeCode Available
Word Embeddings via Tensor Factorization	Apr 10, 2017	Outlier DetectionWord Embeddings	CodeCode Available
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network	Dec 1, 2019	Outlier DetectionRepresentation Learning	CodeCode Available
Edgewise outliers of network indexed signals	Jul 20, 2023	Outlier Detection	CodeCode Available
Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials?	Nov 9, 2023	Meta-LearningModel Selection	CodeCode Available
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning	Jul 7, 2023	Active LearningOutlier Detection	CodeCode Available
HPSCAN: Human Perception-Based Scattered Data Clustering	Apr 27, 2023	ClusteringOutlier Detection	CodeCode Available
Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck	Nov 18, 2019	Outlier DetectionRepresentation Learning	CodeCode Available
D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments	Oct 15, 2022	ClusteringOutlier Detection	CodeCode Available
Multi-Person Pose Estimation with Local Joint-to-Person Associations	Aug 30, 2016	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available

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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