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A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning

IEEE transactions on fuzzy systems, 2015-10, Vol.23 (5), p.1638-1654

2015

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Robust one-class support vector machine with rescaled hinge loss function

Pattern recognition, 2018-12, Vol.84, p.152-164

2018

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Droplet Formation and Impingement Dynamics of Low-Boiling Refrigerant on Solid Surfaces with Different Roughness under Atmospheric Pressure

Applied sciences, 2022-09, Vol.12 (17), p.8549

2022

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Investigation on Spray Morphology, Droplet Dynamics, and Thermal Characteristics of Iso-Pentane Flashing Spray Based on OpenFOAM

Applied sciences, 2022-12, Vol.12 (24), p.12899

2022

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Distribution of radiation heat flux on a plane receiver produced by a multi-quartz lamps heating system for thermal-structural tests

Case studies in thermal engineering, 2023-09, Vol.49, p.103314, Article 103314

2023

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A family of high order approximations of Ramanujan type for perimeter of an ellipse

Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A, Matemáticas, 2021-04, Vol.115 (2), Article 85

2021

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Contrastive deep support vector data description

Pattern recognition, 2023-11, Vol.143, p.109820, Article 109820

2023

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Properties of the power-mean and their applications

AIMS mathematics, 2020-01, Vol.5 (6), p.7285-7300

2020

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Robust AdaBoost based ensemble of one-class support vector machines

Information fusion, 2020-03, Vol.55, p.45-58

2020

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An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications

Entropy (Basel, Switzerland), 2016-02, Vol.18 (2), p.59

2016

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Bounded exponential loss function based AdaBoost ensemble of OCSVMs

Pattern recognition, 2024-04, Vol.148, p.110191, Article 110191

2024

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Two-Phase Construction of Multilayer Perceptrons Using Information Theory

IEEE transactions on neural networks, 2009-04, Vol.20 (4), p.715-721

2009

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Robust least squares one-class support vector machine

Pattern recognition letters, 2020-10, Vol.138, p.571-578

2020

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Robust sparse coding for one-class classification based on correntropy and logarithmic penalty function

Pattern recognition, 2021-03, Vol.111, p.107685, Article 107685

2021

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Selective ensemble of SVDDs with Renyi entropy based diversity measure

Pattern recognition, 2017-01, Vol.61, p.185-196

2017

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Classification of BGP anomalies using decision trees and fuzzy rough sets

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, p.1312-1317

2014

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Further improvements in Feature-Weighted Fuzzy C-Means

Information sciences, 2014-05, Vol.267, p.1-15

2014

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Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique

Neurocomputing (Amsterdam), 2011-10, Vol.74 (17), p.3722-3727

2011

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Training extreme learning machine via regularized correntropy criterion

Neural computing & applications, 2013-12, Vol.23 (7-8), p.1977-1986

2013

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Regularized correntropy criterion based feature extraction for novelty detection

Neurocomputing (Amsterdam), 2014-06, Vol.133, p.483-490

2014

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Robust feature extraction for novelty detection based on regularized correntropy criterion

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012, p.975-980

2012

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A comparative experimental study of feature-weight learning approaches

2011 IEEE International Conference on Systems, Man, and Cybernetics, 2011, p.3500-3505

2011

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A modified AdaBoost method for one-class SVM and its application to novelty detection

2011 IEEE International Conference on Systems, Man, and Cybernetics, 2011, p.3506-3511

2011

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An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification

Neurocomputing (Amsterdam), 2008, Vol.71 (4), p.1008-1021

2008

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Adaptive-weighted one-class support vector machine for outlier detection

2017 29th Chinese Control And Decision Conference (CCDC), 2017, p.1766-1771

2017

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A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning

Robust one-class support vector machine with rescaled hinge loss function

Droplet Formation and Impingement Dynamics of Low-Boiling Refrigerant on Solid Surfaces with Different Roughness under Atmospheric Pressure

Investigation on Spray Morphology, Droplet Dynamics, and Thermal Characteristics of Iso-Pentane Flashing Spray Based on OpenFOAM

Distribution of radiation heat flux on a plane receiver produced by a multi-quartz lamps heating system for thermal-structural tests

A family of high order approximations of Ramanujan type for perimeter of an ellipse

Contrastive deep support vector data description

Properties of the power-mean and their applications

Robust AdaBoost based ensemble of one-class support vector machines

An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications

Bounded exponential loss function based AdaBoost ensemble of OCSVMs

Two-Phase Construction of Multilayer Perceptrons Using Information Theory

Robust least squares one-class support vector machine

Robust sparse coding for one-class classification based on correntropy and logarithmic penalty function

Selective ensemble of SVDDs with Renyi entropy based diversity measure

Classification of BGP anomalies using decision trees and fuzzy rough sets

Further improvements in Feature-Weighted Fuzzy C-Means

Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique

Training extreme learning machine via regularized correntropy criterion

Regularized correntropy criterion based feature extraction for novelty detection

Robust feature extraction for novelty detection based on regularized correntropy criterion

A comparative experimental study of feature-weight learning approaches

A modified AdaBoost method for one-class SVM and its application to novelty detection

An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification

Adaptive-weighted one-class support vector machine for outlier detection

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