| A comprehensive review of feature based methods for drug target interaction prediction K Sachdev, MK Gupta Journal of biomedical informatics 93, 103159, 2019 | 141 | 2019 |
| An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM H Kour, MK Gupta Multimedia Tools and Applications 81 (17), 23649-23685, 2022 | 87 | 2022 |
| An alignment-free method to find similarity among protein sequences via the general form of Chou’s pseudo amino acid composition MK Gupta, R Niyogi, M Misra SAR and QSAR in Environmental Research 24 (7), 597-609, 2013 | 67 | 2013 |
| Computational prediction of cervical cancer diagnosis using ensemble-based classification algorithm S Gupta, MK Gupta The Computer Journal 65 (6), 1527-1539, 2022 | 59 | 2022 |
| Improved hybrid bag-boost ensemble with K-means-SMOTE–ENN technique for handling noisy class imbalanced data A Puri, M Kumar Gupta The Computer Journal 65 (1), 124-138, 2022 | 51 | 2022 |
| Deep learning techniques for cancer classification using microarray gene expression data S Gupta, MK Gupta, M Shabaz, A Sharma Frontiers in Physiology 13, 952709, 2022 | 39 | 2022 |
| A comprehensive data‐level investigation of cancer diagnosis on imbalanced data S Gupta, MK Gupta Computational Intelligence 38 (1), 156-186, 2022 | 37 | 2022 |
| A comprehensive review of computational techniques for the prediction of drug side effects K Sachdev, MK Gupta Drug Development Research 81 (6), 650-670, 2020 | 36 | 2020 |
| A comparative analysis of deep learning approaches for predicting breast cancer survivability S Gupta, MK Gupta Archives of Computational Methods in Engineering 29 (5), 2959-2975, 2022 | 30 | 2022 |
| Knowledge discovery from noisy imbalanced and incomplete binary class data A Puri, MK Gupta Expert Systems with Applications 181, 115179, 2021 | 30 | 2021 |
| Deep learning for brain tumor segmentation using magnetic resonance images S Gupta, M Gupta 2021 IEEE conference on computational intelligence in bioinformatics and …, 2021 | 30 | 2021 |
| Computational model for prediction of malignant mesothelioma diagnosis S Gupta, MK Gupta The Computer Journal 66 (1), 86-100, 2023 | 24 | 2023 |
| A perspective of missing value imputation approaches W Rashid, MK Gupta Advances in Computational Intelligence and Communication Technology …, 2021 | 22 | 2021 |
| A study on various techniques involved in gender prediction system: a comprehensive review P Maken, A Gupta, MK Gupta Cybernetics and Information Technologies 19 (2), 51-73, 2019 | 22 | 2019 |
| A hybrid-security model for privacy-enhanced distributed data mining T Javid, MK Gupta, A Gupta Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 21 | 2022 |
| A 2D graphical representation of protein sequence and their similarity analysis with probabilistic method MK Gupta, R Niyogi, M Misra Match, 2014 | 20 | 2014 |
| Comparative analysis of resampling techniques under noisy imbalanced datasets A Puri, MK Gupta 2019 international conference on issues and challenges in intelligent …, 2019 | 19 | 2019 |
| Prostate cancer prognosis using multi-layer perceptron and class balancing techniques S Gupta, M Kumar Proceedings of the 2021 Thirteenth International Conference on Contemporary …, 2021 | 15 | 2021 |
| Moving object detection using frame difference, background subtraction and sobs for video surveillance application P Gupta, Y Singh, M Gupt The Proceedings of the 3rd International Conference System Modeling and …, 2014 | 14 | 2014 |
| A novel multi-neural ensemble approach for cancer diagnosis S Gupta, MK Gupta, R Kumar Applied Artificial Intelligence 36 (1), 2018182, 2022 | 13 | 2022 |
Sarthak YadavPhD Fellow at Pioneer Center for AI and AAU, Denmark在 es.aau.dk 的电子邮件经过验证
Sarthak YadavPhD Fellow at Pioneer Center for AI and AAU, Denmark在 es.aau.dk 的电子邮件经过验证