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 76–100 of 703 papers

TitleStatusHype
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy—0
Annealed Denoising score matching: learning Energy based model in high-dimensional spaces—0
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies—0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity—0
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction—0
An Improved Heart Disease Prediction Using Stacked Ensemble Method—0
A New Approach To Two-View Motion Segmentation Using Global Dimension Minimization—0
A Framework for Clustering Uncertain Data—0
Component-wise Adaptive Trimming For Robust Mixture Regression—0
An Evolutionary Game based Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Wireless Sensor Networks—0
A feature construction framework based on outlier detection and discriminative pattern mining—0
Active Relation Discovery: Towards General and Label-aware OpenRE—0
3D Scanning: A Comprehensive Survey—0
An Evaluation of Classification and Outlier Detection Algorithms—0
An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines—0
Consensus Clustering: An Embedding Perspective, Extension and Beyond—0
An Efficient Outlier Detection Algorithm for Data Streaming—0
An Efficient Hashing-based Ensemble Method for Collaborative Outlier Detection—0
Active Learning of SVDD Hyperparameter Values—0
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning—0
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection—0
A Robust Regression Approach for Robot Model Learning—0
A Comprehensive System for Secondary Structure Analysis of Protein Models—0
3D Labeling Tool—0
A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric—0
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All datasetsECG5000Balance scale_class 1Breast cancer Wisconsin_class 2Breast cancer Wisconsin_class 4Fashion-MNISTGlass identificationHeart-CHepatitisInternet AdIonosphere_class bSKAB

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