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
Data Mining
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2005 2023
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. R., 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
Machine learning for data extraction and model calibrati
University of Southern California
12/1/17 → 11/30/21
Project: Research project
calibration
machine learning
Research Output 1981 2019
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
Space division multiple access
Space optics
Meteorology
Clustering algorithms
Data mining
Intelligent systems for geosciences: An essential research agenda
Gil, Y., Pierce, S. A., Babaie, H., Banerjee, A., Borne, K., Bust, G., Cheatham, M., Ebert-Uphoff, I., Gomes, C., Hill, M., Horel, J., Hsu, L., Kinter, J., Knoblock, C., Krum, D., Kumar, V., Lermusiaux, P., Liu, Y., North, C., Pankratius, V. & 8 others, Jan 1 2019, In : Communications of the ACM. 62, 1, p. 76-84 9 p.Research output: Contribution to journal › Review article
Open Access
Computer applications
Intelligent systems
Computer science
Earth (planet)
Physics guided RNNs for modeling dynamical systems: A case study in simulating lake temperature profiles
Jia, X., Willard, J., Karpatne, A., Read, J., Zwart, J., Steinbach, M. S. & Kumar, V., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 558-566 9 p. (SIAM International Conference on Data Mining, SDM 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Space division multiple access
Computational chemistry
Climate models
Recurrent neural networks
Lakes
Spatial context-aware networks for mining temporal discriminative period in land cover detection
Jia, X., Li, S., Khandelwal, A., Nayak, G., Karpatne, A. & Kumar, V., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 513-521 9 p. (SIAM International Conference on Data Mining, SDM 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Space division multiple access
Land use
Remote sensing
Data acquisition
Natural resources
A cautionary note on decadal sea level pressure predictions from GCMs
Liess, S., Snyder, P. K., Kumar, A. & Kumar, V., Mar 1 2018, In : Advances in Climate Change Research. 9, 1, p. 43-56 14 p.Research output: Contribution to journal › Article
sea level pressure
general circulation model
prediction
CMIP
train