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Multiple Autoencoder-Based Anomaly Detection with Fuzzy Rough Sets

https://doi.org/10.2139/ssrn.4785986
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Fast Outlier Detection in High Dimensional Spaces
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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
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Loda: Lightweight on-line detector of anomalies
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Outlier detection based on approximation accuracy entropy
inferredcites →https://doi.org/10.1016/j.asoc.2023.109995openalex-extracted
Anomaly detection based on weighted fuzzy-rough density
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An information entropy-based approach to outlier detection in rough sets
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Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection
inferredcites →https://doi.org/10.1016/j.ijar.2023.108971openalex-extracted
Three-way decision-based co-detection for outliers
inferredcites →https://doi.org/10.1016/j.ijar.2023.109087openalex-extracted
Exploiting fuzzy rough entropy to detect anomalies
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MFGAD: Multi-fuzzy granules anomaly detection
inferredcites →https://doi.org/10.1016/j.inffus.2023.102133openalex-extracted
Fusing multi-scale fuzzy information to detect outliers
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Quantitative/qualitative region-change uncertainty/certainty in attribute reduction: Comparative region-change analyses based on granular computing
inferredcites →https://doi.org/10.1016/j.ins.2021.01.080openalex-extracted
Class-specific information measures and attribute reducts for hierarchy and systematicness
inferredcites →https://doi.org/10.1016/j.ins.2021.04.056openalex-extracted
Semi-supervised anomaly detection in dynamic communication networks
inferredcites →https://doi.org/10.1016/j.ins.2021.04.083openalex-extracted
Unsupervised attribute reduction for mixed data based on fuzzy rough sets
inferredcites →https://doi.org/10.1016/j.ins.2022.07.118openalex-extracted
Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection
inferredcites →https://doi.org/10.1016/j.ins.2022.11.060openalex-extracted
Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection
inferredcites →https://doi.org/10.1016/j.ins.2022.11.154openalex-extracted
A relative granular ratio-based outlier detection method in heterogeneous data
inferredcites →https://doi.org/10.1016/j.ins.2023.01.136openalex-extracted
Physics-informed gated recurrent graph attention unit network for anomaly detection in industrial cyber-physical systems
inferredcites →https://doi.org/10.1016/j.ins.2023.119400openalex-extracted
Fuzzy granular anomaly detection using Markov random walk
inferredcites →https://doi.org/10.1016/j.ins.2023.119910openalex-extracted
Two-dimensional improved attribute reductions based on distance granulation and condition entropy in incomplete interval-valued decision systems
inferredcites →https://doi.org/10.1080/03081079008935107openalex-extracted
ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
inferredcites →https://doi.org/10.1109/iccv.2019.00179openalex-extracted
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection
inferredcites →https://doi.org/10.1109/tcyb.2021.3058780openalex-extracted
Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data
inferredcites →https://doi.org/10.1109/tkde.2012.234openalex-extracted
Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection
inferredcites →https://doi.org/10.1109/tkde.2023.3312108openalex-extracted
Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion Measurement
inferredcites →https://doi.org/10.1109/tsmc.2021.3119119openalex-extracted
Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems
inferredcites →https://doi.org/10.1111/coin.12156openalex-extracted
Isolation‐based anomaly detection using nearest‐neighbor ensembles
inferredcites →https://doi.org/10.1145/219717.219791openalex-extracted
Rough sets
inferredcites →https://doi.org/10.1145/2689746.2689747openalex-extracted
Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1145/3439950openalex-extracted
Deep Learning for Anomaly Detection
inferredcites →https://doi.org/10.1145/3441453openalex-extracted
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
inferredcites →https://doi.org/10.1162/089976601750264965openalex-extracted
Estimating the Support of a High-Dimensional Distribution
inferredcites →https://doi.org/10.2139/ssrn.4266498openalex-extracted
ADBench: Anomaly Detection Benchmark
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-extracted
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1901.01588openalex-extracted
PyOD: A Python Toolbox for Scalable Outlier Detection
inferredcites →https://doi.org/10.52202/068431-0330openalex-extracted
A Unified Model for Multi-Class Anomaly Detection
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