SOTAVerified

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

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Showing 301–350 of 703 papers

TitleStatusHype
A Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Industrial Wireless Sensor Networks—0
Deep Sequence Modeling for Anomalous ISP Traffic Prediction—0
A Scalable Approach for Outlier Detection in Edge Streams Using Sketch-based Approximations—0
A Robust Regression Approach for Robot Model Learning—0
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection—0
Deep Learning with Sets and Point Clouds—0
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments—0
A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric—0
Deep Learning for Anomaly Detection: A Review—0
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting—0
Analyzing categorical time series with the R package ctsfeatures—0
Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes—0
Decision-change Informed Rejection Improves Robustness in Pattern Recognition-based Myoelectric Control—0
Dealing with Class Imbalance using Thresholding—0
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification—0
Analysis of Learning from Positive and Unlabeled Data—0
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data—0
A Comprehensive System for Secondary Structure Analysis of Protein Models—0
3D Labeling Tool—0
Data Stream Clustering: A Review—0
Data refinement for fully unsupervised visual inspection using pre-trained networks—0
A review on outlier/anomaly detection in time series data—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks—0
A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection—0
A Review of Change of Variable Formulas for Generative Modeling—0
Cross Domain Image Matching in Presence of Outliers—0
Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approach—0
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?—0
A Model for Spatial Outlier Detection Based on Weighted Neighborhood Relationship—0
A Deep Learning Anomaly Detection Method in Textual Data—0
Coverage-based Outlier Explanation—0
Are Outlier Detection Methods Resilient to Sampling?—0
Continual Learning with Fully Probabilistic Models—0
Contextual Unsupervised Outlier Detection in Sequences—0
A refined convergence analysis of pDCA_e with applications to simultaneous sparse recovery and outlier detection—0
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model—0
Contextual Outlier Interpretation—0
Defending Object Detectors against Patch Attacks with Out-of-Distribution Smoothing—0
A Rank-Based Similarity Metric for Word Embeddings—0
A Meta-Learning Algorithm for Interrogative Agendas—0
Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning—0
Integer Programming Relaxations for Integrated Clustering and Outlier Detection—0
Symbiotic Hybrid Neural Network Watchdog For Outlier Detection—0
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach—0
Incremental Outlier Detection Modelling Using Streaming Analytics in Finance & Health Care—0
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets—0
A probabilistic view on Riemannian machine learning models for SPD matrices—0
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect—0
Improving Solar Flare Prediction by Time Series Outlier Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VRAE+SVMAccuracy0.98—Unverified
2F-t ALSTM-FCNAccuracy0.95—Unverified
3GENDISAccuracy0.94—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy99.03—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy37.62—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy65.6—Unverified
#ModelMetricClaimedVerifiedStatus
1PAEAUROC1—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy99.05—Unverified
#ModelMetricClaimedVerifiedStatus
1MIXAUC0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1MIXAUC-ROC0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1MIXAUC-ROC0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy86.33—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMCapsAverage F10.74—Unverified