| Theory-guided data science: A new paradigm for scientific discovery from data A Karpatne, G Atluri, JH Faghmous, M Steinbach, A Banerjee, A Ganguly, ... IEEE Transactions on knowledge and data engineering 29 (10), 2318-2331, 2017 | 314 | 2017 |
| Spatio-temporal data mining: A survey of problems and methods G Atluri, A Karpatne, V Kumar ACM Computing Surveys (CSUR) 51 (4), 1-41, 2018 | 152 | 2018 |
| Physics-guided neural networks (pgnn): An application in lake temperature modeling A Karpatne, W Watkins, J Read, V Kumar arXiv preprint arXiv:1710.11431, 2017 | 123 | 2017 |
| Machine learning for the geosciences: Challenges and opportunities A Karpatne, I Ebert-Uphoff, S Ravela, HA Babaie, V Kumar IEEE Transactions on Knowledge and Data Engineering 31 (8), 1544-1554, 2018 | 112 | 2018 |
| BHPMF–a hierarchical B ayesian approach to gap‐filling and trait prediction for macroecology and functional biogeography F Schrodt, J Kattge, H Shan, F Fazayeli, J Joswig, A Banerjee, ... Global Ecology and Biogeography 24 (12), 1510-1521, 2015 | 88 | 2015 |
| An approach for global monitoring of surface water extent variations in reservoirs using MODIS data A Khandelwal, A Karpatne, ME Marlier, J Kim, DP Lettenmaier, V Kumar Remote sensing of Environment 202, 113-128, 2017 | 79 | 2017 |
| Monitoring land-cover changes: A machine-learning perspective A Karpatne, Z Jiang, RR Vatsavai, S Shekhar, V Kumar IEEE Geoscience and Remote Sensing Magazine 4 (2), 8-21, 2016 | 57 | 2016 |
| Physics guided RNNs for modeling dynamical systems: A case study in simulating lake temperature profiles X Jia, J Willard, A Karpatne, J Read, J Zwart, M Steinbach, V Kumar Proceedings of the 2019 SIAM International Conference on Data Mining, 558-566, 2019 | 53 | 2019 |
| Global monitoring of inland water dynamics: State-of-the-art, challenges, and opportunities A Karpatne, A Khandelwal, X Chen, V Mithal, J Faghmous, V Kumar Computational Sustainability, 121-147, 2016 | 33 | 2016 |
| Process‐guided deep learning predictions of lake water temperature JS Read, X Jia, J Willard, AP Appling, JA Zwart, SK Oliver, A Karpatne, ... Water Resources Research 55 (11), 9173-9190, 2019 | 30 | 2019 |
| Incorporating prior domain knowledge into deep neural networks N Muralidhar, MR Islam, M Marwah, A Karpatne, N Ramakrishnan 2018 IEEE International Conference on Big Data (Big Data), 36-45, 2018 | 29 | 2018 |
| Predictive Learning in the Presence of Heterogeneity and Limited Training Data A Karpatne, A Khandelwal, S Boriah, V Kumar SDM, 253-261, 2014 | 26 | 2014 |
| Proximal support tensor machines R Khemchandani, A Karpatne, S Chandra International Journal of Machine Learning and Cybernetics 4 (6), 703-712, 2013 | 24 | 2013 |
| Twin support vector regression for the simultaneous learning of a function and its derivatives R Khemchandani, A Karpatne, S Chandra International Journal of Machine Learning and Cybernetics 4 (1), 51-63, 2013 | 24 | 2013 |
| A vision for the development of benchmarks to bridge geoscience and data science I Ebert-Uphoff, DR Thompson, I Demir, YR Gel, A Karpatne, M Guereque, ... 17th International Workshop on Climate Informatics, 2017 | 18 | 2017 |
| Physics guided recurrent neural networks for modeling dynamical systems: Application to monitoring water temperature and quality in lakes X Jia, A Karpatne, J Willard, M Steinbach, J Read, PC Hanson, HA Dugan, ... arXiv preprint arXiv:1810.02880, 2018 | 17 | 2018 |
| Ensemble learning methods for binary classification with multi-modality within the classes A Karpatne, A Khandelwal, V Kumar SIAM International Conference on Data Mining (SDM), 730-738, 2015 | 13 | 2015 |
| Generalized eigenvalue proximal support vector regressor R Khemchandani, A Karpatne, S Chandra Expert Systems with Applications 38 (10), 13136-13142, 2011 | 13 | 2011 |
| Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles X Jia, J Willard, A Karpatne, JS Read, JA Zwart, M Steinbach, V Kumar arXiv preprint arXiv:2001.11086, 2020 | 12 | 2020 |
| Spatial context-aware networks for mining temporal discriminative period in land cover detection X Jia, S Li, A Khandelwal, G Nayak, A Karpatne, V Kumar Proceedings of the 2019 SIAM International Conference on Data Mining, 513-521, 2019 | 12 | 2019 |
