Anuj Karpatne
Title
Cited by
Cited by
Year
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
3142017
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
1522018
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
1232017
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
1122018
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
882015
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
792017
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
572016
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
532019
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
332016
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
302019
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
292018
Predictive Learning in the Presence of Heterogeneity and Limited Training Data
A Karpatne, A Khandelwal, S Boriah, V Kumar
SDM, 253-261, 2014
262014
Proximal support tensor machines
R Khemchandani, A Karpatne, S Chandra
International Journal of Machine Learning and Cybernetics 4 (6), 703-712, 2013
242013
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
242013
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
182017
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
172018
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
132015
Generalized eigenvalue proximal support vector regressor
R Khemchandani, A Karpatne, S Chandra
Expert Systems with Applications 38 (10), 13136-13142, 2011
132011
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
122020
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
122019
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