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 551–600 of 703 papers

TitleStatusHype
Characterizing Malicious Edges targeting on Graph Neural Networks—0
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation LearningCode0
Using Eigencentrality to Estimate Joint, Conditional and Marginal Probabilities from Mixed-Variable Data: Method and Applications—0
Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning ApproachCode0
Sparse Kernel PCA for Outlier DetectionCode0
Detecting Outliers in Data with Correlated Measures—0
Road User Abnormal Trajectory Detection using a Deep AutoencoderCode0
An Overview and a Benchmark of Active Learning for Outlier Detection with One-Class ClassifiersCode0
Unsupervised Keyphrase Extraction from Scientific PublicationsCode0
Outlier detection on network flow analysis—0
Simple robust genomic prediction and outlier detection for a multi-environmental field trial—0
One-Class Kernel Spectral Regression—0
Deep One-Class ClassificationCode0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity—0
Model-based Exception Mining for Object-Relational Data—0
Applications of Data Mining Techniques for Vehicular Ad hoc Networks—0
Kernel-based Outlier Detection using the Inverse Christoffel Function—0
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier DetectionCode0
Robust Object Tracking with Crow Search Optimized Multi-cue Particle Filter—0
A Practical Algorithm for Distributed Clustering and Outlier Detection—0
Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging—0
A Rank-Based Similarity Metric for Word Embeddings—0
An Evaluation of Classification and Outlier Detection Algorithms—0
A refined convergence analysis of pDCA_e with applications to simultaneous sparse recovery and outlier detection—0
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification—0
Onion-Peeling Outlier Detection in 2-D data Sets—0
Sequential Outlier Detection based on Incremental Decision Trees—0
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of EmotionsCode0
Adversarially Learned One-Class Classifier for Novelty DetectionCode0
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning—0
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly DetectionCode0
Outlier Detection for Robust Multi-dimensional Scaling—0
Transformation Autoregressive Networks—0
3D Scanning: A Comprehensive Survey—0
Detecting abnormal events in video using Narrowed Normality Clusters—0
Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition—0
Clustering with Outlier Removal—0
Automatic support vector data descriptionCode0
Towards Building Affect sensitive Word Distributions—0
LEARNING SEMANTIC WORD RESPRESENTATIONS VIA TENSOR FACTORIZATION—0
Semi-supervised Outlier Detection using Generative And Adversary Framework—0
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection—0
Multiple testing for outlier detection in functional data—0
Outlier Detection by Consistent Data Selection Method—0
Identifying Outlier Arms in Multi-Armed Bandit—0
Valid Inference Corrected for Outlier RemovalCode0
Contextual Outlier Interpretation—0
STWalk: Learning Trajectory Representations in Temporal GraphsCode0
Blind Image Deblurring With Outlier Handling—0
A Simple and Fast Algorithm for L1-norm Kernel PCA—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