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.
- 3 Similar Profiles
Data mining
Engineering & Materials Science
Parallel algorithms
Engineering & Materials Science
Time series
Engineering & Materials Science
Scalability
Engineering & Materials Science
Genes
Engineering & Materials Science
Parallel Algorithms
Mathematics
Resource allocation
Engineering & Materials Science
Monitoring
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2005 2023
Knowledge Guided Machine Learning: A Framework for Accelerating Scientific Discovery
9/1/19 → 8/31/21
Project: Research project
Learning systems
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
Learning
Develop machine learning approaches for water temperature prediction
9/19/18 → 9/18/20
Project: Research project
Learning systems
Water
Temperature
AccrueGeo: Geospatial Analytics
Kumar, V., Khandelwal, A. & Morrow, A.
9/15/18 → 2/29/20
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
science
Research Output 1981 2020
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
Type 2 Diabetes Mellitus
Electronic Health Records
Clinical Decision Support Systems
Aptitude
Decision Support Techniques
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
Hydrology
Agriculture
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
artificial intelligence
monitoring
crops
methodology
Monitoring
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
Remote sensing
Monitoring
Processing
Discovering genetic interactions bridging pathways in genome-wide association studies
Fang, G., Wang, W., Paunic, V., Heydari, H., Costanzo, M., Liu, X., Liu, X., VanderSluis, B., Oately, B., Steinbach, M., Van Ness, B., Schadt, E. E., Pankratz, N. D., Boone, C., Kumar, V. & Myers, C. L., Dec 1 2019, In : Nature communications. 10, 1, 4274.Research output: Contribution to journal › Article
Open Access
genome
Genome-Wide Association Study
Genes
Breast Neoplasms
interactions