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
Resource allocation
Engineering & Materials Science
Parallel Algorithms
Mathematics
Labels
Engineering & Materials Science
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 → 2/28/19
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. M., 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 2018
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
Classifying multivariate time series by learning sequence-level discriminative patterns
Nayak, G., Mithal, V., Jia, X. & Kumar, V., Jan 1 2018, p. 252-260. 9 p.Research output: Contribution to conference › Paper
Time series
Neural networks
Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings
Zhu, C., Cao, L., Liu, Q., Yin, J. & Kumar, V., Jul 1 2018, In : IEEE Transactions on Knowledge and Data Engineering. 30, 7, p. 1254-1267 14 p.Research output: Contribution to journal › Article
Experiments
Joint sparse auto-encoder: A semi-supervised spatiooral approach in mapping large-scale croplands
Jia, X., Hu, Y., Khandelwal, A., Karpatne, A. & Kumar, V., Jan 12 2018, Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Obradovic, Z., Baeza-Yates, R., Kepner, J., Nambiar, R., Wang, C., Toyoda, M., Suzumura, T., Hu, X., Cuzzocrea, A., Baeza-Yates, R., Tang, J., Zang, H., Nie, J-Y. & Ghosh, R. (eds.). Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1173-1182 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Encoder
Crops
Land Cover
Noise Factor
Training Samples
Machine Learning for the Geosciences: Challenges and Opportunities
Karpatne, A., Ebert-Uphoff, I., Ravela, S., Babaie, H. A. & Kumar, V., Jul 27 2018, (Accepted/In press) In : IEEE Transactions on Knowledge and Data Engineering.Research output: Contribution to journal › Article
Learning systems
Planets