Evolving data-adaptive support vector machines for binary classification

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

A subregion division based multi-objective evolutionary algorithm for SVM training set selection

(2020) Fan Cheng et al.   NEUROCOMPUTING

Financial time series forecasting using twin support vector regression

(2019) Deepak Gupta et al.   PLoS One

Hyperspectral image classification with SVM and guided filter

(2019) Yanhui Guo et al.   EURASIP Journal on Wireless Communications and Networking

L1-norm loss-based projection twin support vector machine for binary classification

(2019) Xiaopeng Hua et al.   SOFT COMPUTING

Speed up grid-search for parameter selection of support vector machines

(2019) Hatem A. Fayed et al.   APPLIED SOFT COMPUTING

A 1-norm Regularized Linear Programming Nonparallel Hyperplane Support Vector Machine for Binary Classification Problems

(2019) Qianqian Zhang et al.   NEUROCOMPUTING

A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems

(2019) Zichen Zhang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Stationary Mahalanobis kernel SVM for credit risk evaluation

(2018) Hao Jiang et al.   APPLIED SOFT COMPUTING

Selecting training sets for support vector machines: a review

(2018) Jakub Nalepa et al.   ARTIFICIAL INTELLIGENCE REVIEW

A multi-objective evolutionary approach to training set selection for support vector machine

(2018) Giovanni Acampora et al.   KNOWLEDGE-BASED SYSTEMS

A grasshopper optimizer approach for feature selection and optimizing SVM parameters utilizing real biomedical data sets

(2018) Hadeel Tariq Ibrahim et al.   NEURAL COMPUTING & APPLICATIONS

Very large-scale data classification based on K-means clustering and multi-kernel SVM

(2018) Tinglong Tang et al.   SOFT COMPUTING

An Improved Intrusion Detection Algorithm Based on GA and SVM

(2018) Peiying Tao et al.   IEEE Access

A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer’s disease

(2018) Nianyin Zeng et al.   NEUROCOMPUTING

GA-SVM based feature selection and parameter optimization in hospitalization expense modeling

(2018) Zhou Tao et al.   APPLIED SOFT COMPUTING

A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence

(2017) Mohammed Aladeemy et al.   EXPERT SYSTEMS WITH APPLICATIONS

A GPU-Architecture Optimized Hierarchical Decomposition Algorithm for Support Vector Machine Training

(2017) Jan Vanek et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine

(2017) M.R. Gauthama Raman et al.   KNOWLEDGE-BASED SYSTEMS

Efficient benchmarking of algorithm configurators via model-based surrogates

(2017) Katharina Eggensperger et al.   MACHINE LEARNING

A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture

(2017) Hossam Faris et al.   NEURAL COMPUTING & APPLICATIONS

Wavelet twin support vector machines based on glowworm swarm optimization

(2017) Shifei Ding et al.   NEUROCOMPUTING

A BA-based algorithm for parameter optimization of Support Vector Machine

(2017) Alaa Tharwat et al.   PATTERN RECOGNITION LETTERS

Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

(2017) Sabri Boughorbel et al.   PLoS One

Large-scale support vector machine classification with redundant data reduction

(2016) Xiang-Jun Shen et al.   NEUROCOMPUTING

Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs

(2016) Jakub Nalepa et al.   NEUROCOMPUTING

A random forest guided tour

(2016) Gérard Biau et al.   TEST

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Data selection based on decision tree for SVM classification on large data sets

(2015) Jair Cervantes et al.   APPLIED SOFT COMPUTING

Deep learning of support vector machines with class probability output networks

(2015) Sangwook Kim et al.   NEURAL NETWORKS

EasyMKL: a scalable multiple kernel learning algorithm

(2015) Fabio Aiolli et al.   NEUROCOMPUTING

Fast data selection for SVM training using ensemble margin

(2015) Li Guo et al.   PATTERN RECOGNITION LETTERS

Wavelet twin support vector machine

(2014) Shifei Ding et al.   NEURAL COMPUTING & APPLICATIONS

A Scalable Memetic Algorithm for Simultaneous Instance and Feature Selection

(2013) Nicolás García-Pedrajas et al.   EVOLUTIONARY COMPUTATION

Metaheuristics-the metaphor exposed

(2013) Kenneth Sörensen   International Transactions in Operational Research

Online Support Vector Machine Based on Convex Hull Vertices Selection

(2013) Di Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

An overview on twin support vector machines

(2012) Shifei Ding et al.   ARTIFICIAL INTELLIGENCE REVIEW

Support vector machine for breast MR image classification

(2012) Chien-Shun Lo et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Cluster-based instance selection for machine classification

(2011) Ireneusz Czarnowski   KNOWLEDGE AND INFORMATION SYSTEMS

A distributed PSO–SVM hybrid system with feature selection and parameter optimization

(2007) Cheng-Lung Huang et al.   APPLIED SOFT COMPUTING