Sanyam Shukla

According to our database, Sanyam Shukla authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Multistage traffic sign recognition under harsh environment.

Manali Chandnani, Sanyam Shukla, Rajesh Wadhvani

Multim. Tools Appl., October, 2024

Support vector machine with eagle loss function.

Saurabh Shrivastava, Sanyam Shukla, Nilay Khare

Expert Syst. Appl., March, 2024

2023

A stable variant of linex loss SVM for handling noise with reduced hyperparameters.

Saurabh Shrivastava, Sanyam Shukla, Nilay Khare

Inf. Sci., October, 2023

Data complexity-based dynamic ensembling of SVMs in classification.

Sowkarthika B., Manasi Gyanchandani, Rajesh Wadhvani, Sanyam Shukla

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.

Roshani Choudhary, Sanyam Shukla

Symmetry, 2022

Universum based kernelized weighted extreme learning machine for imbalanced datasets.

Bhagat Singh Raghuwanshi, Akansha Mangal, Sanyam Shukla

Int. J. Mach. Learn. Cybern., 2022

Analysis of Different Loss Function for Designing Custom CNN for Traffic Sign Recognition.

Virendra Patel, Sanyam Shukla, Manasi Gyanchandani

Proceedings of the Workshop on Intelligent Systems (WINS 2022) Co-located with TOOTILL 100, 2022

Feature Selection in Under bagging Based Kernel ELM for Handling Class Imbalance Dataset Classification.

Roshani Choudhary, Jayesh Kumar Kashyap, Sanyam Shukla, Manasi Gyanchandani

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.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Pattern Recognit., 2021

Classifying multiclass imbalanced data using generalized class-specific extreme learning machine.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Prog. Artif. Intell., 2021

Classifying imbalanced data using SMOTE based class-specific kernelized ELM.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Int. J. Mach. Learn. Cybern., 2021

Breast cancer histopathology image classification using kernelized weighted extreme learning machine.

Shweta Saxena, Sanyam Shukla, Manasi Gyanchandani

Int. J. Imaging Syst. Technol., 2021

Minimum class variance class-specific extreme learning machine for imbalanced classification.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Expert Syst. Appl., 2021

A clustering based ensemble of weighted kernelized extreme learning machine for class imbalance learning.

Roshani Choudhary, Sanyam Shukla

Expert Syst. Appl., 2021

2020

Classifying imbalanced data using BalanceCascade-based kernelized extreme learning machine.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Pattern Anal. Appl., 2020

SMOTE based class-specific extreme learning machine for imbalanced learning.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Knowl. Based Syst., 2020

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

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

Online sequential class-specific extreme learning machine for binary imbalanced learning.

Sanyam Shukla, Bhagat Singh Raghuwanshi

Neural Networks, 2019

Classifying imbalanced data using ensemble of reduced kernelized weighted extreme learning machine.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Int. J. Mach. Learn. Cybern., 2019

Class-specific cost-sensitive boosting weighted ELM for class imbalance learning.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Memetic Comput., 2019

Class imbalance learning using UnderBagging based kernelized extreme learning machine.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Neurocomputing, 2019

Generalized class-specific kernelized extreme learning machine for multiclass imbalanced learning.

Bhagat Singh Raghuwanshi, Sanyam Shukla

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).

Trupti Chandak, Sanyam Shukla, Rajesh Wadhvani

Expert Syst. Appl., 2019

2018

Class-specific extreme learning machine for handling binary class imbalance problem.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Neural Networks, 2018

Dynamic selection of normalization techniques using data complexity measures.

Sukirty Jain, Sanyam Shukla, Rajesh Wadhvani

Expert Syst. Appl., 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 kernelized extreme learning machine for binary class imbalance learning.

Bhagat Singh Raghuwanshi, Sanyam Shukla

Appl. Soft Comput., 2018

2016

Correlation Based Extreme Learning Machine.

Sanyam Shukla, Ram Narayan Yadav, Lokesh Naktode

Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016

2015

Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning.

Sanyam Shukla, Ram Narayan Yadav

IEEE Access, 2015