Cost sensitive ν-support vector machine with LINEX loss

Application of genetic algorithm based support vector machine in selection of new EEG rhythms for drowsiness detection

(2021) Hui Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

On estimating the location parameter of the selected exponential population under the LINEX loss function

(2020) Mohd Arshad et al.   Brazilian Journal of Probability and Statistics

A reduced universum twin support vector machine for class imbalance learning

(2020) B. Richhariya et al.   PATTERN RECOGNITION

Hybrid neural network with cost-sensitive support vector machine for class-imbalanced multimodal data

(2020) Kyung Hye Kim et al.   NEURAL NETWORKS

One-step spectral rotation clustering for imbalanced high-dimensional data

(2020) Guoqiu Wen et al.   INFORMATION PROCESSING & MANAGEMENT

Automatic classification of citizen requests for transportation using deep learning: Case study from Boston city

(2020) Narang Kim et al.   INFORMATION PROCESSING & MANAGEMENT

Cost-sensitive support vector machines

(2019) Arya Iranmehr et al.   NEUROCOMPUTING

A novel intelligent classification model for breast cancer diagnosis

(2019) Na Liu et al.   INFORMATION PROCESSING & MANAGEMENT

Self-adaptive cost weights-based support vector machine cost-sensitive ensemble for imbalanced data classification

(2019) Xinmin Tao et al.   INFORMATION SCIENCES

Cost-sensitive Fuzzy Multiple Kernel Learning for Imbalanced Problem

(2019) Zhe Wang et al.   NEUROCOMPUTING

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

(2019) Hualong Yu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

E-Bayesian estimation of the exponentiated distribution family parameter under LINEX loss function

(2018) Ming Han   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems

(2018) Yingjie Tian et al.   NEUROCOMPUTING

Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem

(2017) Seyed Mojtaba Hosseini Bamakan et al.   KNOWLEDGE-BASED SYSTEMS

Classification of Imbalanced Data by Oversampling in Kernel Space of Support Vector Machines

(2017) Josey Mathew et al.   IEEE Transactions on Neural Networks and Learning Systems

CogBoost: Boosting for Fast Cost-Sensitive Graph Classification

(2015) Shirui Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Sequential minimal optimization for SVM with pinball loss

(2015) Xiaolin Huang et al.   NEUROCOMPUTING

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

(2014) Yuan-Hai Shao et al.   PATTERN RECOGNITION

Support Vector Machine Classifier With Pinball Loss

(2013) Xiaolin Huang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

LIBSVM

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

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

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

Combining integrated sampling with SVM ensembles for learning from imbalanced datasets

(2010) Yang Liu et al.   INFORMATION PROCESSING & MANAGEMENT

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

(2009) Chris Seiffert et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS