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Journal Articles
- 2025
[j28]Sowkarthika B.
, Manasi Gyanchandani, Rajesh Wadhvani, Sanyam Shukla:
Data complexity measures for classification of a multi-concept dataset. Multim. Tools Appl. 84(2): 571-602 (2025)- 2024
- [j27]Saurabh Shrivastava, Sanyam Shukla, Nilay Khare:
Support vector machine with eagle loss function. Expert Syst. Appl. 238(Part E): 122168 (2024) - [j26]Manali Chandnani, Sanyam Shukla, Rajesh Wadhvani:
Multistage traffic sign recognition under harsh environment. Multim. Tools Appl. 83(34): 80425-80457 (2024) - 2023
- [j25]Sowkarthika B., Manasi Gyanchandani, Rajesh Wadhvani, Sanyam Shukla:
Data complexity-based dynamic ensembling of SVMs in classification. Expert Syst. Appl. 216: 119437 (2023) - [j24]Saurabh Shrivastava, Sanyam Shukla, Nilay Khare:
A stable variant of linex loss SVM for handling noise with reduced hyperparameters. Inf. Sci. 646: 119402 (2023) - 2022
- [j23]Bhagat Singh Raghuwanshi, Akansha Mangal, Sanyam Shukla:
Universum based kernelized weighted extreme learning machine for imbalanced datasets. Int. J. Mach. Learn. Cybern. 13(11): 3387-3408 (2022) - [j22]Roshani Choudhary, Sanyam Shukla:
Reduced-Kernel Weighted Extreme Learning Machine Using Universum Data in Feature Space (RKWELM-UFS) to Handle Binary Class Imbalanced Dataset Classification. Symmetry 14(2): 379 (2022) - 2021
- [j21]Roshani Choudhary, Sanyam Shukla:
A clustering based ensemble of weighted kernelized extreme learning machine for class imbalance learning. Expert Syst. Appl. 164: 114041 (2021) - [j20]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Minimum class variance class-specific extreme learning machine for imbalanced classification. Expert Syst. Appl. 178: 114994 (2021) - [j19]Shweta Saxena, Sanyam Shukla, Manasi Gyanchandani:
Breast cancer histopathology image classification using kernelized weighted extreme learning machine. Int. J. Imaging Syst. Technol. 31(1): 168-179 (2021) - [j18]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Classifying imbalanced data using SMOTE based class-specific kernelized ELM. Int. J. Mach. Learn. Cybern. 12(5): 1255-1280 (2021) - [j17]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Classifying multiclass imbalanced data using generalized class-specific extreme learning machine. Prog. Artif. Intell. 10(3): 259-281 (2021) - [j16]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Minimum variance-embedded kernelized extension of extreme learning machine for imbalance learning. Pattern Recognit. 119: 108069 (2021) - 2020
- [j15]Shweta Saxena, Sanyam Shukla, Manasi Gyanchandani:
Pre-trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology. Int. J. Imaging Syst. Technol. 30(3): 577-591 (2020) - [j14]Bhagat Singh Raghuwanshi, Sanyam Shukla:
SMOTE based class-specific extreme learning machine for imbalanced learning. Knowl. Based Syst. 187 (2020) - [j13]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Classifying imbalanced data using BalanceCascade-based kernelized extreme learning machine. Pattern Anal. Appl. 23(3): 1157-1182 (2020) - 2019
- [j12]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Generalized class-specific kernelized extreme learning machine for multiclass imbalanced learning. Expert Syst. Appl. 121: 244-255 (2019) - [j11]Trupti Chandak, Sanyam Shukla, Rajesh Wadhvani:
An analysis of "A feature reduced intrusion detection system using ANN classifier" by Akashdeep et al. expert systems with applications (2017). Expert Syst. Appl. 130: 79-83 (2019) - [j10]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Class imbalance learning using UnderBagging based kernelized extreme learning machine. Neurocomputing 329: 172-187 (2019) - [j9]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Class-specific cost-sensitive boosting weighted ELM for class imbalance learning. Memetic Comput. 11(3): 263-283 (2019) - [j8]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Classifying imbalanced data using ensemble of reduced kernelized weighted extreme learning machine. Int. J. Mach. Learn. Cybern. 10(11): 3071-3097 (2019) - [j7]Sanyam Shukla, Bhagat Singh Raghuwanshi:
Online sequential class-specific extreme learning machine for binary imbalanced learning. Neural Networks 119: 235-248 (2019) - [j6]Sukirty Jain, Mona Singhal, Sanyam Shukla:
Comments on "Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features". IEEE Trans. Intell. Transp. Syst. 20(10): 3759-3761 (2019) - 2018
- [j5]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Class-specific kernelized extreme learning machine for binary class imbalance learning. Appl. Soft Comput. 73: 1026-1038 (2018) - [j4]Bhagat Singh Raghuwanshi, Sanyam Shukla:
UnderBagging based reduced Kernelized weighted extreme learning machine for class imbalance learning. Eng. Appl. Artif. Intell. 74: 252-270 (2018) - [j3]Sukirty Jain, Sanyam Shukla, Rajesh Wadhvani:
Dynamic selection of normalization techniques using data complexity measures. Expert Syst. Appl. 106: 252-262 (2018) - [j2]Bhagat Singh Raghuwanshi, Sanyam Shukla:
Class-specific extreme learning machine for handling binary class imbalance problem. Neural Networks 105: 206-217 (2018) - 2015
- [j1]Sanyam Shukla, Ram Narayan Yadav:
Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning. IEEE Access 3: 3048-3057 (2015)
Conference and Workshop Papers
- 2022
- [c3]Roshani Choudhary, Jayesh Kumar Kashyap, Sanyam Shukla, Manasi Gyanchandani:
Feature Selection in Under bagging Based Kernel ELM for Handling Class Imbalance Dataset Classification. WCES 2022: 23-30 - [c2]Virendra Patel, Sanyam Shukla, Manasi Gyanchandani:
Analysis of Different Loss Function for Designing Custom CNN for Traffic Sign Recognition. WINS 2022: 31-38 - 2016
- [c1]Sanyam Shukla, Ram Narayan Yadav, Lokesh Naktode:
Correlation Based Extreme Learning Machine. DeSE 2016: 268-272
Coauthor Index
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