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Projects 2005 2023

Learning systems

AccrueGeo: Geospatial Analytics

Kumar, V., Khandelwal, A. & Morrow, A.

National Science Foundation


Project: Research project

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 journalArticle

sea level pressure
general circulation model

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 conferencePaper

Time series
Neural networks
8 Citations

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 journalArticle


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 proceedingConference contribution

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 journalArticle

Learning systems