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Theoretical Foundations and Algorithms for Outlier Ensembles
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/11563952_56openalex-snapshot
A Unified Subspace Outlier Ensemble Framework for Outlier Detection
inferredcites →https://doi.org/10.1007/3-540-45681-3_2openalex-snapshot
Fast Outlier Detection in High Dimensional Spaces
inferredcites →https://doi.org/10.1007/978-3-642-12026-8_29openalex-snapshot
Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces
inferredcites →https://doi.org/10.1016/j.inffus.2004.04.001openalex-snapshot
Creating diversity in ensembles using artificial data
inferredcites →https://doi.org/10.1109/icde.2011.5767916openalex-snapshot
Statistical selection of relevant subspace projections for outlier ranking
inferredcites →https://doi.org/10.1109/icde.2012.88openalex-snapshot
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
inferredcites →https://doi.org/10.1109/icdm.2006.43openalex-snapshot
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
inferredcites →https://doi.org/10.1145/1081870.1081891openalex-snapshot
Feature bagging for outlier detection
inferredcites →https://doi.org/10.1145/2487575.2487676openalex-snapshot
Subsampling for efficient and effective unsupervised outlier detection ensembles
inferredcites →https://doi.org/10.1145/2594473.2594476openalex-snapshot
Ensembles for unsupervised outlier detection
inferredcites →https://doi.org/10.1145/2618243.2618257openalex-snapshot
Data perturbation for outlier detection ensembles
inferredcites →https://doi.org/10.1145/375663.375668openalex-snapshot
Outlier detection for high dimensional data
inferredcites →https://doi.org/10.1145/952532.952616openalex-snapshot
Bootstrapping a data mining intrusion detection system
inferredcites →https://doi.org/10.3929/ethz-a-004483458openalex-snapshot
Bagging, subagging and bragging for improving some prediction algorithms
inferredcites →https://doi.org/10.48550/arxiv.1501.01924openalex-snapshot
Less is More: Building Selective Anomaly Ensembles
inferredcites →https://doi.org/10.48550/arxiv.1507.08104openalex-snapshot
Learning Representations for Outlier Detection on a Budget
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Unsupervised Ensemble-Kernel Principal Component Analysis for Hyperspectral Anomaly Detection
inferred← citeshttps://doi.org/10.1109/dicta60407.2023.00072openalex-snapshot
Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles
inferred← citeshttps://doi.org/10.1109/etfa54631.2023.10275683openalex-snapshot
A Zero-day Container Attack Detection based on Ensemble Machine Learning
inferred← citeshttps://doi.org/10.1109/fuzz-ieee55066.2022.9882557openalex-snapshot
Enhanced Tree-Based Anomaly Detection
inferred← citeshttps://doi.org/10.1109/fuzz-ieee55066.2022.9882567openalex-snapshot
Fuzzy Rule-based Outlier Detector
inferred← citeshttps://doi.org/10.1109/fuzz-ieee55066.2022.9882684openalex-snapshot
Quadrature-Inspired Generalized Choquet Integral
inferred← citeshttps://doi.org/10.1109/fuzz45933.2021.9494460openalex-snapshot
K-Medoids Clustering and Fuzzy Sets for Isolation Forest
inferred← citeshttps://doi.org/10.1109/fuzz52849.2023.10309684openalex-snapshot
Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Anomaly Detection
inferred← citeshttps://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00165openalex-snapshot
Selective Combination based on Diversity-Accuracy Balance in Outlier Ensembles
inferred← citeshttps://doi.org/10.1109/icbds61829.2024.10837041openalex-snapshot
A Novel Simulated Approach to Secure Multi-Tenant Distributed Systems using Anomaly Score based Virtual Machine Live Migration
inferred← citeshttps://doi.org/10.1109/iccwamtip47768.2019.9067647openalex-snapshot
Evolutionary-Based Ensemble Under-Sampling for Imbalanced Data
inferred← citeshttps://doi.org/10.1109/icde.2017.145openalex-snapshot
LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis
inferred← citeshttps://doi.org/10.1109/icde48307.2020.00039openalex-snapshot
Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00409openalex-snapshot
An Interactive Dive into Time-Series Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00423openalex-snapshot
ADecimo: Model Selection for Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icdm.2016.0057openalex-snapshot
Subspace Outlier Detection in Linear Time with Randomized Hashing
inferred← citeshttps://doi.org/10.1109/icdm.2016.0154openalex-snapshot
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective
inferred← citeshttps://doi.org/10.1109/icdm.2018.00015openalex-snapshot
Which Outlier Detector Should I use?
inferred← citeshttps://doi.org/10.1109/icdm50108.2020.00016openalex-snapshot
Learning to Undersampling for Class Imbalanced Credit Risk Forecasting
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00088openalex-snapshot
Toward Unsupervised Outlier Model Selection
inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00077openalex-snapshot
Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icicat57735.2023.10263680openalex-snapshot
Anomaly Detection and Time Series Analysis
inferred← citeshttps://doi.org/10.1109/icip.2018.8451217openalex-snapshot
Gamma Mixture Models for Outlier Removal
inferred← citeshttps://doi.org/10.1109/icsee.2016.7806077openalex-snapshot
Subspace selection for anomaly detection: An information theory approach
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Unveiling Anomalies: A Review of Anomaly Detection Through Lens of Explainable AI
inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8489605openalex-snapshot
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
inferred← citeshttps://doi.org/10.1109/incit56086.2022.10067524openalex-snapshot
Outlier Detection using Ensemble Learning
inferred← citeshttps://doi.org/10.1109/iscmi47871.2019.9004400openalex-snapshot
A Flexible Framework for Anomaly Detection via Dimensionality Reduction
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00086openalex-snapshot
An Effective Outlier Detection Method for EAF Based on an Iterative Heterogeneous Ensemble
inferred← citeshttps://doi.org/10.1109/jcsse53117.2021.9493811openalex-snapshot
Mass-ratio-variance based Outlier Factor
inferred← citeshttps://doi.org/10.1109/jstsp.2019.2939998openalex-snapshot
Transitive Entropy—A Rank Ordered Approach for Natural Sequences
inferred← citeshttps://doi.org/10.1109/mis.2021.3057914openalex-snapshot
Isolation Forest Based Anomaly Detection Framework on Non-IID Data
inferred← citeshttps://doi.org/10.1109/smc53992.2023.10394490openalex-snapshot
Exploring Global and Local Information for Anomaly Detection with Normal Samples
inferred← citeshttps://doi.org/10.1109/tai.2024.3381102openalex-snapshot
Regional Ensemble for Improving Unsupervised Outlier Detectors
inferred← citeshttps://doi.org/10.1109/tfuzz.2021.3076265openalex-snapshot
Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules
inferred← citeshttps://doi.org/10.1109/tkde.2023.3332757openalex-snapshot
Smoothing Outlier Scores Is All You Need to Improve Outlier Detectors
inferred← citeshttps://doi.org/10.1109/tps-isa56441.2022.00028openalex-snapshot
Impact of Dimensionality Reduction on Outlier Detection: an Empirical Study
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Credit Card Fraud Detection in E-Commerce
inferred← citeshttps://doi.org/10.1109/tsp.2018.2887406openalex-snapshot
Sequential Outlier Detection Based on Incremental Decision Trees
inferred← citeshttps://doi.org/10.1109/tvcg.2018.2864825openalex-snapshot
EnsembleLens: Ensemble-based Visual Exploration of Anomaly Detection Algorithms with Multidimensional Data
inferred← citeshttps://doi.org/10.1111/coin.12097openalex-snapshot
Bagged Subspaces for Unsupervised Outlier Detection
inferred← citeshttps://doi.org/10.1111/coin.12156openalex-snapshot
Isolation‐based anomaly detection using nearest‐neighbor ensembles
inferred← citeshttps://doi.org/10.1137/1.9781611974973.11openalex-snapshot
Outlier Detection with Autoencoder Ensembles
inferred← citeshttps://doi.org/10.1137/1.9781611975673.66openalex-snapshot
LSCP: Locally Selective Combination in Parallel Outlier Ensembles
inferred← citeshttps://doi.org/10.1142/s0218194017500383openalex-snapshot
Structure2Content: An Incremental Method for Detecting Outlier Correlation in Heterogeneous Network
inferred← citeshttps://doi.org/10.1142/s021821302350077xopenalex-snapshot
Outlier Detection Using a GPU-Based Parallel Algorithm: Quantum Clustering
inferred← citeshttps://doi.org/10.1145/3110025.3110100openalex-snapshot
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