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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Flood and Drought Prediction for Minnesota
Nieber, J. L. (PI) & Steinbach, M. (Co-Principal Investigator)
LEGISLATIVE-CITIZEN COMMISSION ON MN RES
7/1/24 → 6/30/26
Project: Research project
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III: Medium: Advancing Deep Learning for Inverse Modeling
Kumar, V. (PI) & Steinbach, M. (CoI)
THE NATIONAL SCIENCE FOUNDATION
8/1/23 → 7/31/26
Project: Research project
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AI-CLIMATE (Artificial Intelligence Institute for Climate-Land Interactions, Mitigations, Adaption, Trade-Offsand Economy)
Shekhar, S. (PI), Babcock, C. R. (Other Role), Chiang, Y.-Y. (Other Role), Gini, M. L. (Other Role), Griffis, T. J. (Other Role), Hong, M. (Other Role), Jin, Z. (Other Role), Johnson, J. A. (Other Role), Jordan, N. R. (Other Role), Kumar, V. (Other Role), Mulla, D. J. (Other Role), Papanikolopoulos, N. P. (Other Role), Pardey, P. G. (Other Role), Roop, H. A. (Other Role), Runck, B. C. (Other Role), Steinbach, M. (Other Role), Sun, J. (Other Role), Wilgenbusch, J. (Other Role) & Zobel, J. M. (Other Role)
USDA Nat'l Inst. of Food & Agriculture
6/1/23 → 5/31/26
Project: Research project
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BIGDATA: F: Advancing Deep Learning to Monitor Global Change
Kumar, V. (PI), Pardey, P. G. (CoI), Senay, S. D. (CoI), Steinbach, M. (CoI) & Wilgenbusch, J. (CoI)
THE NATIONAL SCIENCE FOUNDATION
11/1/18 → 8/31/25
Project: Research project
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Process guided machine learning for water temperature prediction
Peterson, J. M. (PI), Kumar, V. (CoI) & Steinbach, M. (CoI)
9/8/20 → 9/2/22
Project: Research project
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Combining self-supervision and privileged information for representation learning from tabular data
Yang, H., Steinbach, M., Melton, G., Kumar, V. & Simon, G. J., 2025, (Accepted/In press) In: Knowledge and Information Systems.Research output: Contribution to journal › Article › peer-review
Open Access -
Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data
Yang, H., Steinbach, M., Melton, G., Kumar, V. & Simon, G., 2024, Proceedings - 24th IEEE International Conference on Data Mining, ICDM 2024. Baralis, E., Zhang, K., Damiani, E., Debbah, M., Kalnis, P. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 550-559 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management
Chatterjee, S. S., Lindsay, K., Chatterjee, N., Patil, R., De Callafon, I. A., Steinbach, M., Giron, D., Nguyen, M. H. & Kumar, V., 2024, Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024. Shekhar, S., Papalexakis, V., Gao, J., Jiang, Z. & Riondato, M. (eds.). Society for Industrial and Applied Mathematics Publications, p. 589-597 9 p. (Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology
Ghosh, R., Renganathan, A., McAliley, W., Steinbach, M., Duffy, C. & Kumar, V., 2024, Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024. Shekhar, S., Papalexakis, V., Gao, J., Jiang, Z. & Riondato, M. (eds.). Society for Industrial and Applied Mathematics Publications, p. 334-342 9 p. (Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Causal Structure Learning from Imperfect Longitudinal Data in Healthcare
Yang, H., Tourani, R., Li, J., Caraballo, P., Steinbach, M., Kumar, V. & Simon, G., 2023, Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023. Institute of Electrical and Electronics Engineers Inc., p. 1-11 11 p. (Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution