Karpatne, Anuj

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

Karpatne, A., Atluri, G., Faghmous, J. H., Steinbach, M., Banerjee, A., Ganguly, A., Shekhar, S., Samatova, N., & Kumar, V. (2017) · IEEE Transactions on Knowledge and Data Engineering

Model Reduction and Neural NetworksMachine Learning in Materials Science

Cited by 1,752

BHPMF – a hierarchical Bayesian approach to gap‐filling and trait prediction for macroecology and functional biogeography

Schrodt, F., Kattge, J., Shan, H., Fazayeli, F., Joswig, J., Banerjee, A., Reichstein, M., Bönisch, G., Díaz, S., Dickie, J., et al. (2015) · Global Ecology and Biogeography

Ecology and Vegetation Dynamics StudiesSpecies Distribution and Climate Change

Cited by 206

An approach for global monitoring of surface water extent variations in reservoirs using MODIS data

Khandelwal, A., Karpatne, A., Marlier, M. E., Kim, J., Lettenmaier, D. P., & Kumar, V. (2017) · Remote Sensing of Environment

Remote-Sensing Image ClassificationFlood Risk Assessment and Management

Cited by 197

Predictive Learning in the Presence of Heterogeneity and Limited

Karpatne, A., Khandelwal, A., Boriah, S., & Kumar, V. (2014) · Proceedings of the 2014 SIAM International Conference on Data Mining

Machine Learning and Data ClassificationRemote-Sensing Image Classification

Cited by 25