| A statistically-guided deep network transformation and moderation framework for data with spatial heterogeneity Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam 2021 IEEE International Conference on Data Mining (ICDM), 767-776, 2021 | 35 | 2021 |
| ReaLSAT, a global dataset of reservoir and lake surface area variations A Khandelwal, A Karpatne, P Ravirathinam, R Ghosh, Z Wei, HA Dugan, ... Scientific data 9 (1), 356, 2022 | 23 | 2022 |
| Automatic License Plate Recognition for Indian Roads Using Faster-RCNN P Ravirathinam, A Patawari 2019 11th International Conference on Advanced Computing (ICoAC), 275-281, 2019 | 23 | 2019 |
| Fairness by “where”: A statistically-robust and model-agnostic bi-level learning framework Y Xie, E He, X Jia, W Chen, S Skakun, H Bao, Z Jiang, R Ghosh, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12208 …, 2022 | 21 | 2022 |
| Mrscatt: A spatio-channel attention-guided network for mars rover image classification AS Chakravarthy, R Roy, P Ravirathinam Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 14 | 2021 |
| Sailing in the location-based fairness-bias sphere E He, Y Xie, X Jia, W Chen, H Bao, X Zhou, Z Jiang, R Ghosh, ... Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 12 | 2022 |
| Spatial-net: A self-adaptive and model-agnostic deep learning framework for spatially heterogeneous datasets Y Xie, X Jia, H Bao, X Zhou, J Yu, R Ghosh, P Ravirathinam Proceedings of the 29th international conference on advances in geographic …, 2021 | 11 | 2021 |
| Attention-augmented spatio-temporal segmentation for land cover mapping R Ghosh, P Ravirathinam, X Jia, C Lin, Z Jin, V Kumar 2021 IEEE International Conference on Big Data (Big Data), 1399-1408, 2021 | 10 | 2021 |
| Calcrop21: A georeferenced multi-spectral dataset of satellite imagery and crop labels R Ghosh, P Ravirathinam, X Jia, A Khandelwal, D Mulla, V Kumar 2021 IEEE International Conference on Big Data (Big Data), 1625-1632, 2021 | 10 | 2021 |
| C-LIENet: a multi-context low-light image enhancement network P Ravirathinam, D Goel, JJ Ranjani IEEE Access 9, 31053-31064, 2021 | 7 | 2021 |
| Harnessing heterogeneity in space with statistically guided meta-learning Y Xie, W Chen, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam Knowledge and information systems 65 (6), 2699-2729, 2023 | 5 | 2023 |
| NeighCNN: a CNN based SAR speckle reduction using feature preserving loss function P Ravirathinam, D Agrawal, JJ Ranjani arXiv preprint arXiv:2108.11573, 2021 | 4 | 2021 |
| A self-adaptive and model-agnostic deep learning framework for spatially heterogeneous datasets Y Xie, X Jia, H Bao, X Zhou, J Yu, R Ghosh, P Ravirathinam ACM SIGSPATIAL, 2021 | 2 | 2021 |
| Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach P Ravirathinam, R Ghosh, A Khandelwal, X Jia, D Mulla, V Kumar Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | 1 | 2024 |
| Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets P Ravirathinam, R Ghosh, K Wang, K Xuan, A Khandelwal, H Dugan, ... Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 1 | 2022 |
| Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture R Rahimi, P Ravirathinam, A Ebtehaj, A Behrangi, J Tan, V Kumar Journal of Hydrometeorology, 2024 | | 2024 |
| Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration E He, Y Xie, W Chen, S Skakun, H Bao, R Ghosh, P Ravirathinam, X Jia IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
Rahul GhoshApplied Scientist Amazon, PhD University of MinnesotaVerified email at umn.edu
