| Age estimation from face image using wrinkle features R Jana, D Datta, R Saha Procedia Computer Science 46, 1754-1761, 2015 | 56 | 2015 |
| Hyperspectral image classification: Potentials, challenges, and future directions D Datta, PK Mallick, AK Bhoi, MF Ijaz, J Shafi, J Choi Computational Intelligence and Neuroscience 2022, 2022 | 45 | 2022 |
| Age group estimation using face features R Jana, D Datta, R Saha International Journal of Engineering and Innovative Technology 3 (2), 130-134, 2013 | 30 | 2013 |
| Offline signature verification using euclidian distance R Jana, R Saha, D Datta International Journal of Computer Science and Information Technologies 5 (1 …, 2014 | 26 | 2014 |
| A hybrid classification of imbalanced hyperspectral images using ADASYN and enhanced deep subsampled multi-grained cascaded forest D Datta, PK Mallick, AVN Reddy, MA Mohammed, MM Jaber, AS Alghawli, ... Remote Sensing 14 (19), 4853, 2022 | 9 | 2022 |
| Computational intelligence for observation and monitoring: a case study of imbalanced hyperspectral image data classification D Datta, PK Mallick, J Shafi, J Choi, MF Ijaz Computational Intelligence and Neuroscience 2022, 2022 | 7 | 2022 |
| Classification of Imbalanced Hyperspectral Images using Modified Rotational Forest D Datta International Journal of Modelling, Identification, and Control 23 (2), 103-117, 2023 | 1* | 2023 |
| Hyperspectral Image Classification Based on Novel Hybridization of Spatial-Spectral-Superpixelwise Principal Component Analysis and Dense 2D-3D Convolutional Neural Network … GSC Debaleena Datta,Pradeep Kumar Mallick,Deepak Gupta Canadian Journal of Remote Sensing, 18, 2022 | 1* | 2022 |
| A Correlative Survey on Imbalanced Breast Cancer Data Using Ensembled Oversampling Techniques and Deep Learning Algorithms D Datta, PP Singha, U Sen, PK Mallick 2024 International Conference on Emerging Systems and Intelligent Computing …, 2024 | | 2024 |
| Hyperspectral image classification using machine learning techniques D Datta Bhubaneswar, 0 | | |
