Class-specific kernelized extreme learning machine for binary class imbalance learning. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Appl. Soft Comput., 2018)

UnderBagging based reduced Kernelized weighted extreme learning machine for class imbalance learning. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Eng. Appl. Artif. Intell., 2018)

Class-specific extreme learning machine for handling binary class imbalance problem. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Neural Networks, 2018)

Generalized class-specific kernelized extreme learning machine for multiclass imbalanced learning. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Expert Syst. Appl., 2019)

Class imbalance learning using UnderBagging based kernelized extreme learning machine. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Neurocomputing, 2019)

Class-specific cost-sensitive boosting weighted ELM for class imbalance learning. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Memetic Comput., 2019)

Classifying imbalanced data using ensemble of reduced kernelized weighted extreme learning machine. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Int. J. Mach. Learn. Cybern., 2019)

Online sequential class-specific extreme learning machine for binary imbalanced learning. - Sanyam Shukla; Bhagat Singh Raghuwanshi (Neural Networks, 2019)

SMOTE based class-specific extreme learning machine for imbalanced learning. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Knowl. Based Syst., 2020)

Classifying imbalanced data using BalanceCascade-based kernelized extreme learning machine. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Pattern Anal. Appl., 2020)

Minimum class variance class-specific extreme learning machine for imbalanced classification. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Expert Syst. Appl., 2021)

Classifying imbalanced data using SMOTE based class-specific kernelized ELM. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Int. J. Mach. Learn. Cybern., 2021)

Classifying multiclass imbalanced data using generalized class-specific extreme learning machine. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Prog. Artif. Intell., 2021)

Minimum variance-embedded kernelized extension of extreme learning machine for imbalance learning. - Bhagat Singh Raghuwanshi; Sanyam Shukla (Pattern Recognit., 2021)

Universum based kernelized weighted extreme learning machine for imbalanced datasets. - Bhagat Singh Raghuwanshi; Akansha Mangal; Sanyam Shukla (Int. J. Mach. Learn. Cybern., 2022)

Class-specific extreme learning machine based on overall distribution for addressing binary imbalance problem. - Bhagat Singh Raghuwanshi (Soft Comput., 2023)

ELM-Based Imbalanced Data Classification-A Review. - Brajendra Singh Rajput; Partha Roy; Sunita Soni; Bhagat Singh Raghuwanshi (Informatica (Slovenia), 2024)