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FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning

IEEE transactions on fuzzy systems, 2010-06, Vol.18 (3), p.558-571

2010

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Prediction of water quality index (WQI) using support vector machine (SVM) and least square-support vector machine (LS-SVM)

International journal of river basin management, 2021-04, Vol.19 (2), p.149-156

2021

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Classification of sentiment reviews using n-gram machine learning approach

Expert systems with applications, 2016-09, Vol.57, p.117-126

2016

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Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors

International journal of intelligent systems, 2021-06, Vol.36 (6), p.2865-2894

2021

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Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data

IEEE transactions on fuzzy systems, 2019-12, Vol.27 (12), p.2353-2367

2019

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Short-term PV power forecasting using hybrid GASVM technique

Renewable energy, 2019-09, Vol.140, p.367-379

2019

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Detection of Life-Threatening Arrhythmias Using Feature Selection and Support Vector Machines

IEEE transactions on biomedical engineering, 2014-03, Vol.61 (3), p.832-840

2014

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Comprehensive evaluation of twin SVM based classifiers on UCI datasets

Applied soft computing, 2019-10, Vol.83, p.105617, Article 105617

2019

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EEG signal classification using universum support vector machine

Expert systems with applications, 2018-09, Vol.106, p.169-182

2018

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Feature Selection for Classification of Hyperspectral Data by SVM

IEEE transactions on geoscience and remote sensing, 2010-05, Vol.48 (5), p.2297-2307

2010

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Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine

IEEE transactions on geoscience and remote sensing, 2009-05, Vol.47 (5), p.1328-1337

2009

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Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

Mechanical systems and signal processing, 2017-02, Vol.85, p.746-759

2017

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Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

IEEE transactions on geoscience and remote sensing, 2008-11, Vol.46 (11), p.3804-3814

2008

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Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries

Energy (Oxford), 2019-06, Vol.176, p.91-102

2019

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Trajectory-Based Anomalous Event Detection

IEEE transactions on circuits and systems for video technology, 2008-11, Vol.18 (11), p.1544-1554

2008

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Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification

IEEE transactions on biomedical engineering, 2017-09, Vol.64 (9), p.2098-2109

2017

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Extreme Learning Machine for Regression and Multiclass Classification

IEEE transactions on cybernetics, 2012-04, Vol.42 (2), p.513-529

2012

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COVID-19 cough classification using machine learning and global smartphone recordings

Computers in biology and medicine, 2021-08, Vol.135, p.104572-104572, Article 104572

2021

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A comprehensive study on estimating higher heating value of biomass from proximate and ultimate analysis with machine learning approaches

Energy (Oxford), 2019-12, Vol.188, p.116077, Article 116077

2019

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Inverse free reduced universum twin support vector machine for imbalanced data classification

Neural networks, 2023-01, Vol.157, p.125-135

2023

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A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm

Soft computing (Berlin, Germany), 2019-04, Vol.23 (7), p.2445-2462

2019

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Robust nonparallel support vector machines via second-order cone programming

Neurocomputing (Amsterdam), 2019-10, Vol.364, p.227-238

2019

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Brillouin Optical Time-Domain Analyzer Assisted by Support Vector Machine for Ultrafast Temperature Extraction

Journal of lightwave technology, 2017-10, Vol.35 (19), p.4159-4167

2017

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Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM

Entropy (Basel, Switzerland), 2021-06, Vol.23 (6), p.762

2021

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A comparison on multi-class classification methods based on least squares twin support vector machine

Knowledge-based systems, 2015-06, Vol.81, p.131-147

2015

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FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning

Prediction of water quality index (WQI) using support vector machine (SVM) and least square-support vector machine (LS-SVM)

Classification of sentiment reviews using n-gram machine learning approach

Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors

Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data

Short-term PV power forecasting using hybrid GASVM technique

Detection of Life-Threatening Arrhythmias Using Feature Selection and Support Vector Machines

Comprehensive evaluation of twin SVM based classifiers on UCI datasets

EEG signal classification using universum support vector machine

Feature Selection for Classification of Hyperspectral Data by SVM

Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries

Trajectory-Based Anomalous Event Detection

Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification

Extreme Learning Machine for Regression and Multiclass Classification

COVID-19 cough classification using machine learning and global smartphone recordings

A comprehensive study on estimating higher heating value of biomass from proximate and ultimate analysis with machine learning approaches

Inverse free reduced universum twin support vector machine for imbalanced data classification

A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm

Robust nonparallel support vector machines via second-order cone programming

Brillouin Optical Time-Domain Analyzer Assisted by Support Vector Machine for Ultrafast Temperature Extraction

Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM

A comparison on multi-class classification methods based on least squares twin support vector machine

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