Accurate prediction of COVID-19 using chest X-ray images through deep feature learning model with SMOTE and machine learning classifiers R Kumar, R Arora, V Bansal, VJ Sahayasheela, H Buckchash, J Imran, ... MedRxiv, 2020.04. 13.20063461, 2020 | 138 | 2020 |
AI-based diagnosis of COVID-19 patients using X-ray scans with stochastic ensemble of CNNs R Arora, V Bansal, H Buckchash, R Kumar, VJ Sahayasheela, ... Physical and Engineering Sciences in Medicine 44, 1257-1271, 2021 | 18 | 2021 |
Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient R Kumar, R Arora, V Bansal, VJ Sahayasheela, H Buckchash, J Imran, ... Multimedia Tools and Applications 81 (19), 27631-27655, 2022 | 11 | 2022 |
Computational intelligence enabled student performance estimation in the age of covid-19 V Bansal, H Buckchash, B Raman SN computer science 3, 1-11, 2022 | 4 | 2022 |
Discriminative auto-encoding for classification and representation learning problems V Bansal, H Buckchash, B Raman IEEE Signal Processing Letters 28, 987-991, 2021 | 2 | 2021 |
Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning D Peddireddy, V Bansal, Z Jacob, V Aggarwal arXiv preprint arXiv:2201.08878, 2022 | 1 | 2022 |
Activation Functions: Dive into an optimal activation function V Bansal arXiv preprint arXiv:2202.12065, 2022 | | 2022 |
Computational Models for Academic Performance Estimation V Bansal, H Buckchash, B Raman arXiv preprint arXiv:2009.02661, 2020 | | 2020 |