Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning. - Sanyam Shukla; Ram Narayan Yadav (IEEE Access, 2015)

Correlation Based Extreme Learning Machine. - Sanyam Shukla; Ram Narayan Yadav; Lokesh Naktode (DeSE, 2016)

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)

Dynamic selection of normalization techniques using data complexity measures. - Sukirty Jain; Sanyam Shukla; Rajesh Wadhvani (Expert Syst. Appl., 2018)

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

An analysis of "A feature reduced intrusion detection system using ANN classifier" by Akashdeep et al. expert systems with applications (2017). - Trupti Chandak; Sanyam Shukla; Rajesh Wadhvani (Expert Syst. Appl., 2019)

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)

Comments on "Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features". - Sukirty Jain; Mona Singhal; Sanyam Shukla (IEEE Trans. Intell. Transp. Syst., 2019)

Pre-trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology. - Shweta Saxena; Sanyam Shukla; Manasi Gyanchandani (Int. J. Imaging Syst. Technol., 2020)

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)

A clustering based ensemble of weighted kernelized extreme learning machine for class imbalance learning. - Roshani Choudhary; Sanyam Shukla (Expert Syst. Appl., 2021)

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

Breast cancer histopathology image classification using kernelized weighted extreme learning machine. - Shweta Saxena; Sanyam Shukla; Manasi Gyanchandani (Int. J. Imaging Syst. Technol., 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)

Feature Selection in Under bagging Based Kernel ELM for Handling Class Imbalance Dataset Classification. - Roshani Choudhary; Jayesh Kumar Kashyap; Sanyam Shukla; Manasi Gyanchandani (WCES, 2022)

Analysis of Different Loss Function for Designing Custom CNN for Traffic Sign Recognition. - Virendra Patel; Sanyam Shukla; Manasi Gyanchandani (WINS, 2022)

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

Reduced-Kernel Weighted Extreme Learning Machine Using Universum Data in Feature Space (RKWELM-UFS) to Handle Binary Class Imbalanced Dataset Classification. - Roshani Choudhary; Sanyam Shukla (Symmetry, 2022)

ECG Based Heart Disease Classification: Advancement and Review of Techniques. - Akshita Gour; Muktesh Gupta; Rajesh Wadhvani; Sanyam Shukla (ICMLDE, 2023)

Data complexity-based dynamic ensembling of SVMs in classification. - Sowkarthika B.; Manasi Gyanchandani; Rajesh Wadhvani; Sanyam Shukla (Expert Syst. Appl., 2023)

A stable variant of linex loss SVM for handling noise with reduced hyperparameters. - Saurabh Shrivastava; Sanyam Shukla; Nilay Khare (Inf. Sci., 2023)

Support vector machine with eagle loss function. - Saurabh Shrivastava; Sanyam Shukla; Nilay Khare (Expert Syst. Appl., 2024)

Multistage traffic sign recognition under harsh environment. - Manali Chandnani; Sanyam Shukla; Rajesh Wadhvani (Multim. Tools Appl., 2024)

A Novel Nonparallel Hyperplane Based Extreme Learning Machine for Classification. - Arvind Kumar; Sanyam Shukla; Manasi Gyanchandani (IEEE Access, 2025)

Data complexity measures for classification of a multi-concept dataset. - Sowkarthika B.; Manasi Gyanchandani; Rajesh Wadhvani; Sanyam Shukla (Multim. Tools Appl., 2025)

Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning. - Rakesh Batchala; Priyank Jain; Manasi Gyanchandani; Sanyam Shukla; Rajesh Wadhvani (J. Big Data, 2025)