Sanyam Shukla

发表

Voting based Extreme Learning Machine with search based Ensemble Pruning

Rajesh Wadhvani, Manasi Gyanchandani, J. Bharti, 2017 .

Analysis of parametric and non-parametric regression techniques to model the wind turbine power curve

Rajesh Wadhvani, Sanyam Shukla, 2018, Wind Engineering.

Universum based kernelized weighted extreme learning machine for imbalanced datasets

Bhagat Singh Raghuwanshi, Sanyam Shukla, Akansha Mangal, 2022, International Journal of Machine Learning and Cybernetics.

Analysis of Statistical Techniques to Estimate Wind Turbine Power Generation

Rajesh Wadhvani, A. Rasool, Manasi Gyanchandani, 2017 .

Data complexity-based dynamic ensembling of SVMs in classification

Rajesh Wadhvani, Manasi Gyanchandani, Sanyam Shukla, 2022, Expert Syst. Appl..

Analysis of k-Fold Cross-Validation over Hold-Out Validation on Colossal Datasets for Quality Classification

Sanyam Shukla, Sanjay Yadav, S. Yadav, 2016, 2016 IEEE 6th International Conference on Advanced Computing (IACC).

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

Sanyam Shukla, Roshani Choudhary, Roshani Choudhary, 2021, Expert Syst. Appl..

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

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2019, Expert Syst. Appl..

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

Sanyam Shukla, Rajesh Wadhvani, Trupti Chandak, 2019, Expert Syst. Appl..

Pre-trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology

Sanyam Shukla, Manasi Gyanchandani, Shweta Saxena, 2020, Int. J. Imaging Syst. Technol..

Quantile Regression Comprehensive in Machine Learning: A Review

Rajesh Wadhvani, Manasi Gyanchandani, Sanyam Shukla, 2023, 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS).

Dynamic selection of normalization techniques using data complexity measures

Sanyam Shukla, Rajesh Wadhvani, Sukirty Jain, 2018, Expert Syst. Appl..

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

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2018, Neural Networks.

Breast cancer histopathology image classification using kernelized weighted extreme learning machine

Sanyam Shukla, Manasi Gyanchandani, Shweta Saxena, 2020, Int. J. Imaging Syst. Technol..

Class-specific kernelized extreme learning machine for binary class imbalance learning

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2018, Appl. Soft Comput..

Analysis of statistical features for fault detection in ball bearing

Sanyam Shukla, R. N. Yadav, Jivitesh Sharma, 2015, 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).

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

Manasi Gyanchandani, Sanyam Shukla, Virendra Patel, 2022 .

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

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2018, Memetic Computing.

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

Bhagat Singh Raghuwanshi, Sanyam Shukla, 2018, Memetic Computing.

Classifying imbalanced data using SMOTE based class-specific kernelized ELM

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2021, International Journal of Machine Learning and Cybernetics.

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

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2019, International Journal of Machine Learning and Cybernetics.

SMOTE based class-specific extreme learning machine for imbalanced learning

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2020, Knowl. Based Syst..

Class imbalance learning using UnderBagging based kernelized extreme learning machine

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2019, Neurocomputing.

UnderBagging based reduced Kernelized weighted extreme learning machine for class imbalance learning

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2018, Eng. Appl. Artif. Intell..

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

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2019, Neural Networks.

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

Saurabh Shrivastava, N. Khare, Sanyam Shukla, 2023, Inf. Sci..

Spam Filtering using Support Vector Machine

Sanyam Shukla, Rajesh Wadhvani, Priyanka Chhabra, 2010 .

Missing Data Imputation for Solar Radiation Using Generative Adversarial Networks

Sanyam Shukla, Rajesh Wadhvani, Priyanshi Khare, 2021, Proceedings of International Conference on Computational Intelligence.

Attention mechanism for developing wind speed and solar irradiance forecasting models

Rajesh Wadhvani, Sanyam Shukla, Banalaxmi Brahma, 2020, Wind Engineering.

Classifying imbalanced data using BalanceCascade-based kernelized extreme learning machine

Sanyam Shukla, Bhagat Singh Raghuwanshi, Sanyam Shukla, 2019, Pattern Analysis and Applications.

Voting based Extreme learning Machine with Spectral Coefficient Pruning for binary Classification

Sanyam Shukla, Mona Singhal, Bhagat singh Raghuwanshi, 2018, 2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS).

A novel sparse ensemble pruning algorithm using a new diversity measure

Sanyam Shukla, Jivitesh Sharma, Shankul Khare, 2015, 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).

A Comprehensive Review of Heart Disease Classification Techniques Utilizing ECG Signal Analysis

Rajesh Wadhvani, Sanyam Shukla, Akshita Gour, 2023, 2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM).

ECG Based Heart Disease Classification: Advancement and Review of Techniques

Rajesh Wadhvani, Sanyam Shukla, Akshita Gour, 2024, Procedia Computer Science.