Sanyam Shukla

Orcid: 0000-0001-6652-9132

According to our database1, Sanyam Shukla authored at least 28 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Support vector machine with eagle loss function.
Expert Syst. Appl., March, 2024

2023
A stable variant of linex loss SVM for handling noise with reduced hyperparameters.
Inf. Sci., October, 2023

Data complexity-based dynamic ensembling of SVMs in classification.
Expert Syst. Appl., April, 2023

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

Universum based kernelized weighted extreme learning machine for imbalanced datasets.
Int. J. Mach. Learn. Cybern., 2022

Feature Selection in Under bagging Based Kernel ELM for Handling Class Imbalance Dataset Classification.
Proceedings of the Workshop on Control and Embedded Systems (WCES 2022) Co-located with TOOTILL 100 - International Conference on Computing Sciences (ICCS 2022), Chennai, India, April 22, 2022

2021
Minimum variance-embedded kernelized extension of extreme learning machine for imbalance learning.
Pattern Recognit., 2021

Classifying multiclass imbalanced data using generalized class-specific extreme learning machine.
Prog. Artif. Intell., 2021

Classifying imbalanced data using SMOTE based class-specific kernelized ELM.
Int. J. Mach. Learn. Cybern., 2021

Breast cancer histopathology image classification using kernelized weighted extreme learning machine.
Int. J. Imaging Syst. Technol., 2021

Minimum class variance class-specific extreme learning machine for imbalanced classification.
Expert Syst. Appl., 2021

A clustering based ensemble of weighted kernelized extreme learning machine for class imbalance learning.
Expert Syst. Appl., 2021

2020
Classifying imbalanced data using BalanceCascade-based kernelized extreme learning machine.
Pattern Anal. Appl., 2020

SMOTE based class-specific extreme learning machine for imbalanced learning.
Knowl. Based Syst., 2020

Pre-trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology.
Int. J. Imaging Syst. Technol., 2020

2019
Comments on "Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features".
IEEE Trans. Intell. Transp. Syst., 2019

Online sequential class-specific extreme learning machine for binary imbalanced learning.
Neural Networks, 2019

Classifying imbalanced data using ensemble of reduced kernelized weighted extreme learning machine.
Int. J. Mach. Learn. Cybern., 2019

Class-specific cost-sensitive boosting weighted ELM for class imbalance learning.
Memetic Comput., 2019

Class imbalance learning using UnderBagging based kernelized extreme learning machine.
Neurocomputing, 2019

Generalized class-specific kernelized extreme learning machine for multiclass imbalanced learning.
Expert Syst. Appl., 2019

An analysis of "A feature reduced intrusion detection system using ANN classifier" by Akashdeep et al. expert systems with applications (2017).
Expert Syst. Appl., 2019

2018
Class-specific extreme learning machine for handling binary class imbalance problem.
Neural Networks, 2018

Dynamic selection of normalization techniques using data complexity measures.
Expert Syst. Appl., 2018

UnderBagging based reduced Kernelized weighted extreme learning machine for class imbalance learning.
Eng. Appl. Artif. Intell., 2018

Class-specific kernelized extreme learning machine for binary class imbalance learning.
Appl. Soft Comput., 2018

2016
Correlation Based Extreme Learning Machine.
Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016

2015
Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning.
IEEE Access, 2015


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