| 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 | 51 | 2021 |
| A novel deep learning architecture for sentiment classification R Ghosh, K Ravi, V Ravi 2016 3rd international conference on recent advances in information …, 2016 | 43 | 2016 |
| 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 | 35 | 2022 |
| Regionalization in a global hydrologic deep learning model: from physical descriptors to random vectors X Li, A Khandelwal, X Jia, K Cutler, R Ghosh, A Renganathan, S Xu, ... Water Resources Research 58 (8), e2021WR031794, 2022 | 34 | 2022 |
| 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 | 32 | 2022 |
| Toward large-scale mapping of tree crops with high-resolution satellite imagery and deep learning algorithms: A case study of olive orchards in Morocco C Lin, Z Jin, D Mulla, R Ghosh, K Guan, V Kumar, Y Cai Remote Sensing 13 (9), 1740, 2021 | 29 | 2021 |
| Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin L Yin, R Ghosh, C Lin, D Hale, C Weigl, J Obarowski, J Zhou, J Till, X Jia, ... Remote Sensing of Environment 295, 113695, 2023 | 27 | 2023 |
| Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology R Ghosh, A Renganathan, K Tayal, A Khandelwal, X Jia, X Li, J Neiber, ... KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge …, 2022 | 26 | 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 | 21 | 2021 |
| A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest Q Yang, L Liu, J Zhou, R Ghosh, B Peng, K Guan, J Tang, W Zhou, ... Remote sensing of environment 299, 113880, 2023 | 19 | 2023 |
| 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 | 19 | 2022 |
| Elitist quantum-inspired differential evolution based wrapper for feature subset selection V Srikrishna, R Ghosh, V Ravi, K Deb Multi-disciplinary Trends in Artificial Intelligence: 9th International …, 2015 | 15 | 2015 |
| A deep transfer learning framework for mapping high spatiotemporal resolution LAI J Zhou, Q Yang, L Liu, Y Kang, X Jia, M Chen, R Ghosh, S Xu, C Jiang, ... ISPRS Journal of Photogrammetry and Remote Sensing 206, 30-48, 2023 | 14 | 2023 |
| 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 | 14 | 2021 |
| Semi-supervised classification using attention-based regularization on coarse-resolution data G Nayak, R Ghosh, X Jia, V Mithafi, V Kumar Proceedings of the 2020 SIAM International Conference on Data Mining, 253-261, 2020 | 14 | 2020 |
| 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 | 13 | 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 | 11 | 2023 |
| Clustering augmented self-supervised learning: an application to land cover mapping R Ghosh, X Jia, L Yin, C Lin, Z Jin, V Kumar Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 11 | 2022 |
| Invertibility aware integration of static and time-series data: An application to lake temperature modeling K Tayal, X Jia, R Ghosh, J Willard, J Read, V Kumar Proceedings of the 2022 SIAM international conference on data mining (SDM …, 2022 | 11 | 2022 |
| Model-agnostic methods for text classification with inherent noise K Tayal, R Ghosh, V Kumar Proceedings of the 28th international conference on computational …, 2020 | 10 | 2020 |
Vipin KumarUniversity of MinnesotaOverená e-mailová adresa na: umn.edu
