Fuzzy least squares projection twin support vector machines for class imbalance learning

A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation

(2021) Ioan-Daniel Borlea et al.   KNOWLEDGE-BASED SYSTEMS

Ensemble of classification models with weighted functional link network

(2021) M. Tanveer et al.   APPLIED SOFT COMPUTING

Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation

(2021) Iman Beheshti et al.   IEEE Journal of Biomedical and Health Informatics

Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE)

(2020) B. Richhariya et al.   Biomedical Signal Processing and Control

LSTSVM classifier with enhanced features from pre-trained functional link network

(2020) M.A. Ganaie et al.   APPLIED SOFT COMPUTING

Evolving Fuzzy Models for Prosthetic Hand Myoelectric-Based Control

(2020) Radu-Emil Precup et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Least squares KNN-based weighted multiclass twin SVM

(2020) M. Tanveer et al.   NEUROCOMPUTING

A reduced universum twin support vector machine for class imbalance learning

(2020) B. Richhariya et al.   PATTERN RECOGNITION

Least squares projection twin support vector clustering (LSPTSVC)

(2020) B. Richhariya et al.   INFORMATION SCIENCES

Robust twin support vector regression based on rescaled Hinge loss

(2020) Manisha Singla et al.   PATTERN RECOGNITION

General twin support vector machine with pinball loss function

(2019) M. Tanveer et al.   INFORMATION SCIENCES

Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data

(2019) Chandan Gautam et al.   NEURAL NETWORKS

Oblique Decision Tree Ensemble via Twin Bounded SVM

(2019) M.A. Ganaie et al.   EXPERT SYSTEMS WITH APPLICATIONS

A robust fuzzy least squares twin support vector machine for class imbalance learning

(2018) B. Richhariya et al.   APPLIED SOFT COMPUTING

A Dataset for Breast Cancer Histopathological Image Classification

(2016) Fabio A. Spanhol et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

An efficient regularized K-nearest neighbor based weighted twin support vector regression

(2016) M. Tanveer et al.   KNOWLEDGE-BASED SYSTEMS

Least squares recursive projection twin support vector machine for multi-class classification

(2015) Zhi-Min Yang et al.   International Journal of Machine Learning and Cybernetics

A regularization on Lagrangian twin support vector regression

(2015) M. Tanveer et al.   International Journal of Machine Learning and Cybernetics

Application of smoothing techniques for linear programming twin support vector machines

(2014) M. Tanveer   KNOWLEDGE AND INFORMATION SYSTEMS

Robust and Sparse Linear Programming Twin Support Vector Machines

(2014) M. Tanveer   Cognitive Computation

Fuzzy support vector machine based on within-class scatter for classification problems with outliers or noises

(2013) Wenjuan An et al.   NEUROCOMPUTING

A fuzzy support vector machine algorithm for classification based on a novel PIM fuzzy clustering method

(2013) Zhenning Wu et al.   NEUROCOMPUTING

Recursive least squares projection twin support vector machines for nonlinear classification

(2013) Shifei Ding et al.   NEUROCOMPUTING

On Lagrangian twin support vector regression

(2012) S. Balasundaram et al.   NEURAL COMPUTING & APPLICATIONS

Recursive projection twin support vector machine via within-class variance minimization

(2011) Xiaobo Chen et al.   PATTERN RECOGNITION

Least squares recursive projection twin support vector machine for classification

(2011) Yuan-Hai Shao et al.   PATTERN RECOGNITION

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

(2010) Rukshan Batuwita et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Multi-weight vector projection support vector machines

(2010) Qiaolin Ye et al.   PATTERN RECOGNITION LETTERS

Boosting support vector machines for imbalanced data sets

(2009) Benjamin X. Wang et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Least squares twin support vector machines for pattern classification

(2008) M. Arun Kumar et al.   EXPERT SYSTEMS WITH APPLICATIONS