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DSVD‐autoencoder: A scalable distributed privacy‐preserving method for one‐class classification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/int.22241openalex-snapshot
PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing
inferredcites →https://doi.org/10.1007/11871842_61openalex-snapshot
The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces
inferredcites →https://doi.org/10.1007/3-540-48219-9_30openalex-snapshot
Combining One-Class Classifiers
inferredcites →https://doi.org/10.1007/978-0-387-45528-0openalex-snapshot
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1007/978-1-4471-1599-1_110openalex-snapshot
Support objects for domain approximation
inferredcites →https://doi.org/10.1007/978-3-642-17080-5_21openalex-snapshot
A Survey of Recent Trends in One Class Classification
inferredcites →https://doi.org/10.1007/978-3-642-21557-5_13openalex-snapshot
Approximate Convex Hulls Family for One-Class Classification
inferredcites →https://doi.org/10.1007/978-3-642-34166-3_31openalex-snapshot
A New Random Forest Method for One-Class Classification
inferredcites →https://doi.org/10.1007/bf02288367openalex-snapshot
The Approximation of One Matrix by Another of Lower Rank
inferredcites →https://doi.org/10.1007/s10462-008-9071-8openalex-snapshot
An evaluation of one-class classification techniques for speaker verification
inferredcites →https://doi.org/10.1007/s13748-012-0035-5openalex-snapshot
A survey of methods for distributed machine learning
inferredcites →https://doi.org/10.1016/0098-1354(92)80051-aopenalex-snapshot
Autoassociative neural networks
inferredcites →https://doi.org/10.1016/0378-4371(92)90477-8openalex-snapshot
Geometrical interpretation of the back-propagation algorithm for the perceptron
inferredcites →https://doi.org/10.1016/0893-6080(89)90014-2openalex-snapshot
Neural networks and principal component analysis: Learning from examples without local minima
inferredcites →https://doi.org/10.1016/0893-6080(91)90045-7openalex-snapshot
ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition
inferredcites →https://doi.org/10.1016/j.ins.2019.03.013openalex-snapshot
Large scale anomaly detection in mixed numerical and categorical input spaces
inferredcites →https://doi.org/10.1016/j.jsv.2007.01.006openalex-snapshot
Fault diagnosis of rotating machinery based on auto-associative neural networks and wavelet transforms
inferredcites →https://doi.org/10.1016/j.neucom.2015.05.135openalex-snapshot
An efficient algorithm for distributed density-based outlier detection on big data
inferredcites →https://doi.org/10.1016/j.neunet.2015.09.003openalex-snapshot
A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics
inferredcites →https://doi.org/10.1016/j.patcog.2009.11.024openalex-snapshot
A new convex objective function for the supervised learning of single-layer neural networks
inferredcites →https://doi.org/10.1016/j.patcog.2013.08.007openalex-snapshot
Approximate polytope ensemble for one-class classification
inferredcites →https://doi.org/10.1016/j.patcog.2016.05.033openalex-snapshot
Graph Embedded One-Class Classifiers for media data classification
inferredcites →https://doi.org/10.1016/j.sigpro.2009.04.043openalex-snapshot
Combining different biometric traits with one-class classification
inferredcites →https://doi.org/10.1016/j.sigpro.2010.01.026openalex-snapshot
Data compression using SVD and Fisher information for radar emitter location
inferredcites →https://doi.org/10.1017/s026988891300043xopenalex-snapshot
One-class classification: taxonomy of study and review of techniques
inferredcites →https://doi.org/10.1023/b:mach.0000008084.60811.49openalex-snapshot
Support Vector Data Description
inferredcites →https://doi.org/10.1049/cp:19950597openalex-snapshot
Novelty detection for the identification of masses in mammograms
inferredcites →https://doi.org/10.1049/ip-vis:19941330openalex-snapshot
Novelty detection and neural network validation
inferredcites →https://doi.org/10.1063/1.2810360openalex-snapshot
Introduction to the Theory of Neural Computation
inferredcites →https://doi.org/10.1109/icassp.2007.366287openalex-snapshot
The One Class Support Vector Machine Solution Path
inferredcites →https://doi.org/10.1109/icdcs.2006.49openalex-snapshot
In-Network Outlier Detection in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/icdm.2011.52openalex-snapshot
Direct Robust Matrix Factorizatoin for Anomaly Detection
inferredcites →https://doi.org/10.1109/icip.2018.8451093openalex-snapshot
Distributed One-Class Learning
inferredcites →https://doi.org/10.1109/icpr.2018.8545819openalex-snapshot
Subspace Support Vector Data Description
inferredcites →https://doi.org/10.1109/ijcnn.1999.836051openalex-snapshot
Characteristics of auto-associative MLP as a novelty detector
inferredcites →https://doi.org/10.1109/tkde.2016.2555804openalex-snapshot
Distributed Anomaly Detection Using Minimum Volume Elliptical Principal Component Analysis
inferredcites →https://doi.org/10.1109/tnnls.2017.2738118openalex-snapshot
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks
inferredcites →https://doi.org/10.1109/tpami.2013.94openalex-snapshot
A Minimum Volume Covering Approach with a Set of Ellipsoids
inferredcites →https://doi.org/10.1109/tpwrd.2012.2188143openalex-snapshot
Diagnosing Faults in Power Transformers With Autoassociative Neural Networks and Mean Shift
inferredcites →https://doi.org/10.1137/16m1058467openalex-snapshot
A Distributed and Incremental SVD Algorithm for Agglomerative Data Analysis on Large Networks
inferredcites →https://doi.org/10.1142/s012906571550029xopenalex-snapshot
Distributed One-Class Support Vector Machine
inferredcites →https://doi.org/10.1145/1970392.1970395openalex-snapshot
Robust principal component analysis?
inferredcites →https://doi.org/10.1145/2689746.2689747openalex-snapshot
Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1145/2810103.2813677openalex-snapshot
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
inferredcites →https://doi.org/10.1145/2810103.2813687openalex-snapshot
Privacy-Preserving Deep Learning
inferredcites →https://doi.org/10.1162/089976600300015691openalex-snapshot
Nonlinear Autoassociation Is Not Equivalent to PCA
inferredcites →https://doi.org/10.1162/neco.1992.4.2.141openalex-snapshot
First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
inferredcites →https://doi.org/10.1214/aoms/1177704472openalex-snapshot
On Estimation of a Probability Density Function and Mode
inferredcites →https://doi.org/10.2307/1573081openalex-snapshot
Pattern Classification and Scene Analysis
inferredcites →https://doi.org/10.46298/arima.1877openalex-snapshot
One-Class Classifiers: A Review and Analysis of Suitability in the Context of Mobile-Masquerader Detection
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/int.22356openalex-snapshot
Privacy preservation for image data: A GAN‐based method
inferred← citeshttps://doi.org/10.1002/int.22619openalex-snapshot
Privacy budget management and noise reusing in multichain environment
inferred← citeshttps://doi.org/10.1002/int.22716openalex-snapshot
Online dependence clustering of multivariate streaming data using one‐class SVMs
inferred← citeshttps://doi.org/10.1002/int.22730openalex-snapshot
ScratchGAN: Network representation learning for scratch with preference‐based generative adversarial nets
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108065openalex-snapshot
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104485openalex-snapshot
Federated cross-domain CTR prediction with triple-view contrastive learning and LLM augmentation
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109805openalex-snapshot
Fast deep autoencoder for federated learning
inferred← citeshttps://doi.org/10.1142/s0218001421510150openalex-snapshot
Learning Target Class Feature Subspace (LTC-FS) Using Eigenspace Analysis and N-ary Search-Based Autonomous Hyperparameter Tuning for OCSVM
inferred← citeshttps://doi.org/10.1186/s40537-021-00514-xopenalex-snapshot
A literature review on one-class classification and its potential applications in big data
inferred← citeshttps://doi.org/10.5815/ijcnis.2024.03.07openalex-snapshot
A Novel Privacy Preservation Scheme by Matrix Factorized Deep Autoencoder
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