| Deep-STEP: A deep learning approach for spatiotemporal prediction of remote sensing data M Das, SK Ghosh IEEE Geoscience and Remote Sensing Letters 13 (12), 1984-1988, 2016 | 107 | 2016 |
| A deep-learning-based forecasting ensemble to predict missing data for remote sensing analysis M Das, SK Ghosh IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 80 | 2017 |
| A probabilistic nonlinear model for forecasting daily water level in reservoir M Das, SK Ghosh, VM Chowdary, A Saikrishnaveni, RK Sharma Water Resources Management 30 (9), 3107-3122, 2016 | 63 | 2016 |
| Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques M Das, SK Ghosh Pattern Recognit Letters, 1-10, 2017 | 59 | 2017 |
| semBnet: a semantic Bayesian network for multivariate prediction of meteorological time series data M Das, SK Ghosh Pattern Recognition Letters 93, 192-201, 2017 | 56 | 2017 |
| Measuring Moran's I in a cost-efficient manner to describe a land-cover change pattern in large-scale remote sensing imagery M Das, SK Ghosh IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 54 | 2017 |
| FB-STEP: a fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data M Das, SK Ghosh Expert Systems with Applications 117, 211-227, 2019 | 53 | 2019 |
| Remote sensing scene classification under scarcity of labelled samples—A survey of the state-of-the-arts S Dutta, M Das Computers & Geosciences 171, 105295, 2023 | 48 | 2023 |
| A probabilistic approach for weather forecast using spatio-temporal inter-relationships among climate variables M Das, SK Ghosh 2014 9th International Conference on Industrial and Information Systems …, 2014 | 48 | 2014 |
| Muse-rnn: A multilayer self-evolving recurrent neural network for data stream classification M Das, M Pratama, S Savitri, J Zhang 2019 IEEE International Conference on Data Mining (ICDM), 110-119, 2019 | 36 | 2019 |
| FORWARD: a model for forecasting reservoir water dynamics using spatial Bayesian network (SpaBN) M Das, SK Ghosh, P Gupta, VM Chowdary, R Nagaraja, VK Dadhwal IEEE Transactions on Knowledge and Data Engineering 29 (4), 842-855, 2017 | 32 | 2017 |
| Data-driven approaches for spatio-temporal analysis: A survey of the state-of-the-arts M Das, SK Ghosh Journal of Computer Science and Technology 35 (3), 665-696, 2020 | 25 | 2020 |
| A cost-efficient approach for measuring Moran's index of spatial autocorrelation in geostationary satellite data M Das, SK Ghosh 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 20 | 2016 |
| A skip-connected evolving recurrent neural network for data stream classification under label latency scenario M Das, M Pratama, J Zhang, YS Ong Proceedings of the AAAI Conference on artificial intelligence 34 (04), 3717-3724, 2020 | 19 | 2020 |
| Spatial-SMOTE for handling imbalance in spatial regression tasks RD Gavas, M Das, SK Ghosh, A Pal Multimedia Tools and Applications 83 (5), 14111-14132, 2024 | 18 | 2024 |
| Circulating interleukin-8 dynamics parallels disease course and is linked to clinical outcomes in severe COVID-19 R D’Rozario, D Raychaudhuri, P Bandopadhyay, J Sarif, P Mehta, ... Viruses 15 (2), 549, 2023 | 16 | 2023 |
| Detection of climate zones using multifractal detrended cross-correlation analysis: A spatio-temporal data mining approach M Das, SK Ghosh 2015 Eighth International Conference on Advances in Pattern Recognition …, 2015 | 16 | 2015 |
| FERNN: A fast and evolving recurrent neural network model for streaming data classification M Das, M Pratama, A Ashfahani, S Samanta 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 15 | 2019 |
| Spatio-temporal prediction of meteorological time series data: an approach based on spatial Bayesian network (SpaBN) M Das, SK Ghosh International Conference on Pattern Recognition and Machine Intelligence …, 2017 | 14 | 2017 |
| SoURA: a user-reliability-aware social recommendation system based on graph neural network S Dawn, M Das, S Bandyopadhyay Neural Computing and Applications 35 (25), 18533-18551, 2023 | 13 | 2023 |
