Cost-sensitive learning with modified Stein loss function

Resampling algorithms based on sample concatenation for imbalance learning

(2022) Hongbo Shi et al.   KNOWLEDGE-BASED SYSTEMS

Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision

(2022) Han Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier

(2021) Rongdan Zeng et al.   COMPUTERS IN BIOLOGY AND MEDICINE

FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public

(2021) Peishu Wu et al.   IMAGE AND VISION COMPUTING

Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines

(2021) Salim Rezvani et al.   INFORMATION SCIENCES

Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation

(2021) Jingjing Tang et al.   NEURAL NETWORKS

Minimum variance-embedded kernelized extension of extreme learning machine for imbalance learning

(2021) Bhagat Singh Raghuwanshi et al.   PATTERN RECOGNITION

A Novel Imbalanced Data Classification Method Based on Weakly Supervised Learning for Fault Diagnosis

(2021) Hui Liu et al.   IEEE Transactions on Industrial Informatics

Cost sensitive ν-support vector machine with LINEX loss

(2021) Saiji Fu et al.   INFORMATION PROCESSING & MANAGEMENT

LR-SMOTE — An improved unbalanced data set oversampling based on K-means and SVM

(2020) X.W. Liang et al.   KNOWLEDGE-BASED SYSTEMS

Density-weighted support vector machines for binary class imbalance learning

(2020) Barenya Bikash Hazarika et al.   NEURAL COMPUTING & APPLICATIONS

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

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

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

Mining product innovation ideas from online reviews

(2020) Min Zhang et al.   INFORMATION PROCESSING & MANAGEMENT

Learning from class-imbalance and heterogeneous data for 30-day hospital readmission

(2020) Guodong Du et al.   NEUROCOMPUTING

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

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

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

Affinity and class probability-based fuzzy support vector machine for imbalanced data sets

(2019) Xinmin Tao et al.   NEURAL NETWORKS

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

Estimation of a high-dimensional covariance matrix with the Stein loss

(2016) Hisayuki Tsukuma   JOURNAL OF MULTIVARIATE ANALYSIS

Multi-view twin support vector machines

(2015) Xijiong Xie et al.   Intelligent Data Analysis

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

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

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

Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine

(2010) U. Rajendra Acharya et al.   JOURNAL OF MEDICAL SYSTEMS

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