| Gradient boosting machine and efficient combination of features for speech-based detection of COVID-19 TK Dash, C Chakraborty, S Mahapatra, G Panda IEEE Journal of Biomedical and Health Informatics 26 (11), 5364-5371, 2022 | 50 | 2022 |
| Deep neural network and extreme gradient boosting based Hybrid classifier for improved prediction of Protein-Protein interaction S Mahapatra, VR Gupta, SS Sahu, G Panda IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (1 …, 2021 | 39 | 2021 |
| Improved prediction of protein–protein interaction using a hybrid of functional-link Siamese neural network and gradient boosting machines S Mahapatra, SS Sahu Briefings in Bioinformatics 22 (6), bbab255, 2021 | 14 | 2021 |
| ANOVA‐particle swarm optimization‐based feature selection and gradient boosting machine classifier for improved protein–protein interaction prediction S Mahapatra, SS Sahu Proteins: Structure, Function, and Bioinformatics 90 (2), 443-454, 2022 | 11* | 2022 |
| Boosting predictions of Host-Pathogen protein interactions using Deep neural networks S Mahapatra, SS Sahu 2020 IEEE International Students' Conference on Electrical, Electronics and …, 2020 | 11 | 2020 |
| Computational models for prediction of protein–protein interaction in rice and Magnaporthe grisea B Karan, S Mahapatra, SS Sahu, DM Pandey, S Chakravarty Frontiers in Plant Science 13, 1046209, 2023 | 9 | 2023 |
| Mitigating information interruptions by COVID-19 face masks: a three-stage speech enhancement scheme TK Dash, C Chakraborty, S Mahapatra, G Panda IEEE Transactions on Computational Social Systems, 2022 | 9 | 2022 |
| A lightweight meta-ensemble approach for plant disease detection suitable for IOT-based environments R Maurya, S Mahapatra, L Rajput IEEE Access 12, 28096-28108, 2024 | 6 | 2024 |
| Integrating resonant recognition model and stockwell transform for localization of hotspots in Tubulin S Mahapatra, SS Sahu IEEE Transactions on NanoBioscience 20 (3), 345-353, 2021 | 6 | 2021 |
| Prediction of protein interactions in rice and blast fungus using Machine Learning B Karan, S Mahapatra, SS Sahu 2019 International Conference on Information Technology (ICIT), 33-36, 2019 | 6 | 2019 |
| Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine R Maurya, S Mahapatra, MK Dutta, VP Singh, M Karnati, G Sahu, ... Scientific Reports 14 (1), 17785, 2024 | 4 | 2024 |
| Effect of dimensionality reduction on classification accuracy for protein–protein interaction prediction S Mahapatra, A Kumar, A Sharma, SS Sahu Advanced Computing and Intelligent Engineering: Proceedings of ICACIE 2018 …, 2020 | 3 | 2020 |
| Predicting protein–RNA interaction using sequence derived features and machine learning approach C Pandey, R Sandeep, A Priyam, S Mahapatra, SS Sahu International Journal of Data Mining and Bioinformatics 19 (3), 270-282, 2017 | 3 | 2017 |
| Deep and Domain Specific Feature-Based Cervical Cancer Classification Using Support Vector Machine Optimized with Particle Swarm Optimization R Maurya, L Rajput, S Mahapatra IEEE Access, 2024 | | 2024 |
Sitanshu Sekhar SahuAssociate Professor, Dept. of Electronics & Communication Engg., Birla Institute of Technology,IndiaEmail verificata su bitmesra.ac.in