Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
Knowledge Guided Machine Learning: A Framework for Accelerating Scientific Discovery
9/1/19 → 8/31/21
Project: Research project
BIGDATA: F: Advancing Deep Learning to Monitor Global Change
Kumar, V., Pardey, P. G., Senay, S. D., Steinbach, M. S. & Wilgenbusch, J. C.
11/1/18 → 10/31/21
Project: Research project
Develop machine learning approaches for water temperature prediction
9/19/18 → 9/18/20
Project: Research project
AccrueGeo: Geospatial Analytics
Kumar, V., Khandelwal, A. & Morrow, A.
9/15/18 → 2/28/21
Project: Research project
University of Minnesota Clinical and Translational Scien
Blazar, B. R., AbuSalah, A. M., Adam, T. J., Aliferis, MD, PhD, C., Allen, J., Beckman, K. B., Billings, J. L., Bloomfield, H. E., Bornsztein, B., Brearley, A. M., Call, K. T., Chi, C., Clancy, T. R., Connett, J. E., Daniels, B. S., Eder, M., El-Fakahany, E. E., Fischer, G., Fulkerson, J., Garwood, M., Georgopoulos, A. P., Guan, W., Henderson, J. N., Hodges, J. S., Ingbar, D. H., Jones-Webb, R. J., Jordan, C., Karypis, G., Knights, D., Kumar, V., LeBien, T. W., Lim, K. O., Ma, S., Melton-Meaux, G. B., Myers, C. L., Neuhauser, C., Oakes, M., Okuyemi, K., Pakhomov, S. V., Panoskaltsis-Mortari, A., Pieczkiewicz, D. S., Raymond, N. C., Riggs, S., Rudser, K., Ruggles, S., Schacker, T. W., Schleiss, M. R., Shekhar, S., Shen, S., Simon, G. J., Ugurbil, K., Vock, D. M., Volkov, B. B., Wang, J., Warren, J. R., Weber-Main, A. M., Weisdorf, D. J., Wolf, S. M., Zellmer-Bruhn, M. E. & Zhang, R.
NIH NAT'L CTR FOR ADVANCING TRAN SCIENCE
3/30/18 → 2/28/23
Project: Research project
Research Output
Automated plantation mapping in southeast asia using MODIS data and imperfect visual annotations
Jia, X., Khandelwal, A., Carlson, K. M., Gerber, J. S., West, P. C., Samberg, L. H. & Kumar, V., Feb 1 2020, In : Remote Sensing. 12, 4, 636.Research output: Contribution to journal › Article
Open Access
Predicting diabetes clinical outcomes using longitudinal risk factor trajectories
Simon, G. J., Peterson, K. A., Castro, M. R., Steinbach, M. S., Kumar, V. & Caraballo, P. J., Jan 8 2020, In : BMC medical informatics and decision making. 20, 1, 6.Research output: Contribution to journal › Article
Open Access
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models
Garijo, D., Khider, D., Ratnakar, V., Gil, Y., Deelman, E., Da Silva, R. F., Knoblock, C., Chiang, Y. Y., Pham, M., Pujara, J., Vu, B., Feldman, D., Mayani, R., Cobourn, K., Duffy, C., Kemanian, A., Shu, L., Kumar, V., Khandelwal, A., Tayal, K. & 5 others, , Mar 16 2019, Proceedings of the 24th International Conference on Intelligent User Interfaces, IUI 2019. Association for Computing Machinery, p. 111-112 2 p. (International Conference on Intelligent User Interfaces, Proceedings IUI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Bringing automated, remote-sensed, machine learning methods to monitoring crop landscapes at scale
Jia, X., Khandelwal, A., Mulla, D. J., Pardey, P. G. & Kumar, V., Nov 1 2019, In : Agricultural Economics (United Kingdom). 50, S1, p. 41-50 10 p.Research output: Contribution to journal › Article
Classifying heterogeneous sequential data by cyclic domain adaptation: An application in land cover detection
Jia, X., Nayak, G., Khandelwal, A., Karpatne, A. & Kumar, V., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 540-548 9 p. (SIAM International Conference on Data Mining, SDM 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution