| C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods A Sharma, R Rani Computer methods and programs in biomedicine 178, 219-235, 2019 | 76 | 2019 |
| Ensemble framework for cardiovascular disease prediction A Tiwari, A Chugh, A Sharma Computers in Biology and Medicine 146, 105624, 2022 | 47 | 2022 |
| BE-DTI’: Ensemble framework for drug target interaction prediction using dimensionality reduction and active learning A Sharma, R Rani Computer methods and programs in biomedicine 165, 151-162, 2018 | 45 | 2018 |
| A systematic review of applications of machine learning in cancer prediction and diagnosis A Sharma, R Rani Archives of Computational Methods in Engineering 28 (7), 4875-4896, 2021 | 38 | 2021 |
| An optimized framework for cancer classification using deep learning and genetic algorithm A Sharma, R Rani Journal of medical imaging and health informatics 7 (8), 1851-1856, 2017 | 33 | 2017 |
| Ensembled machine learning framework for drug sensitivity prediction A Sharma, R Rani IET Systems Biology 14 (1), 39-46, 2020 | 29 | 2020 |
| Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms A Kukkar, R Mohana, A Sharma, A Nayyar Education and Information Technologies 28 (8), 9655-9684, 2023 | 27 | 2023 |
| Drug sensitivity prediction framework using ensemble and multi-task learning A Sharma, R Rani International Journal of Machine Learning and Cybernetics 11 (6), 1231-1240, 2020 | 23 | 2020 |
| KSRMF: Kernelized similarity based regularized matrix factorization framework for predicting anti-cancer drug responses A Sharma, R Rani Journal of Intelligent & Fuzzy Systems 35 (2), 1779-1790, 2018 | 18 | 2018 |
| Classification of cancerous profiles using machine learning A Sharma, R Rani 2017 International Conference on Machine Learning and Data Science (MLDS), 31-36, 2017 | 18 | 2017 |
| An integrated framework for identification of effective and synergistic anti-cancer drug combinations A Sharma, R Rani Journal of Bioinformatics and Computational Biology 16 (05), 1850017, 2018 | 16 | 2018 |
| A 3-level model for implementing MOOC in India A Sharma, R Rani 2014 IEEE International Conference on MOOC, Innovation and Technology in …, 2014 | 10 | 2014 |
| Improving sentiment analysis in social media by handling lengthened words A Kukkar, R Mohana, A Sharma, A Nayyar, MA Shah IEEE Access 11, 9775-9788, 2023 | 9 | 2023 |
| C-HDESHO: Cancer classification framework using single objective meta—heuristic and machine learning approaches A Sharma, R Rani 2018 Fifth International Conference on Parallel, Distributed and Grid …, 2018 | 6 | 2018 |
| Ensemble framework for red wine quality prediction R Mohana, P Sharma, A Sharma Food Analytical Methods 16 (1), 30-44, 2023 | 5 | 2023 |
| Face recognition using haar cascade and local binary pattern histogram in opencv A Sharma, K Shah, S Verma 2021 Sixth International Conference on Image Information Processing (ICIIP …, 2021 | 4 | 2021 |
| Forecasting the trend of covid-19 epidemic A Bansal, A Bhardwaj, A Sharma 2020 Sixth International Conference on Parallel, Distributed and Grid …, 2020 | 4 | 2020 |
| IoT solutions for 3-D visualization of Twitter data A Sharma, R Rani 2015 IEEE International Advance Computing Conference (IACC), 839-843, 2015 | 4 | 2015 |
| Machine learning perspective in cancer research A Sharma, R Rani Handbook of research on disease prediction through data analytics and …, 2021 | 3 | 2021 |
| On some new aggregation operators for T-spherical fuzzy hypersoft sets with application in renewable energy sources Monika, RK Bajaj, A Sharma International Journal of Information Technology 15 (5), 2457-2467, 2023 | 2 | 2023 |
Rinkle RaniProfessor, Thapar Institute of Engineering and Technology, PatialaVerified email at thapar.edu
