Projects per year
Personal profile
Expertise related to UN Sustainable Devlopment 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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Dive into the research topics where Michael Steinbach is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Process guided machine learning for water temperature prediction
Peterson, J. M., Kumar, V. & Steinbach, M.
9/8/20 → 9/2/22
Project: Research project
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Knowledge Guided Machine Learning: A Framework for Accelerating Scientific Discovery
9/1/19 → 8/31/22
Project: Research project
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BIGDATA: F: Advancing Deep Learning to Monitor Global Change
Kumar, V., Pardey, P. G., Senay, S. D., Steinbach, M. & Wilgenbusch, J.
11/1/18 → 10/31/22
Project: Research project
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Machine learning for data extraction and model calibrati
University of Southern California
12/1/17 → 11/30/21
Project: Research project
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Innovative Methods for Real-time Risk Modeling of Postop
Simon, G. J., Melton-Meaux, G. B. & Steinbach, M.
NIH NIGMS NATL INST OF GENERAL
4/1/17 → 3/31/22
Project: Research project
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Development and Validation of a Risk Stratification Model Using Disease Severity Hierarchy for Mortality or Major Cardiovascular Event
Ngufor, C., Caraballo, P. J., O'Byrne, T. J., Chen, D., Shah, N. D., Pruinelli, L., Steinbach, M. & Simon, G., Jul 17 2020, In: JAMA Network Open. 3, 7, e208270.Research output: Contribution to journal › Article › peer-review
Open Access -
Mining novel multivariate relationships in time series data using correlation networks
Agrawal, S., Steinbach, M., Boley, D., Chatterjee, S., Atluri, G., Dang, A. T., Liess, S. & Kumar, V., Sep 1 2020, In: IEEE Transactions on Knowledge and Data Engineering. 32, 9, p. 1798-1811 14 p., 8693798.Research output: Contribution to journal › Article › peer-review
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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 › peer-review
Open Access -
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling
Jia, X., Willard, J., Karpatne, A., Read, J. S., Zwart, J. A., Steinbach, M. & Kumar, V., Sep 26 2020, 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3494-3496 3 p. 9323723. (International Geoscience and Remote Sensing Symposium (IGARSS)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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 › peer-review
Open Access3 Scopus citations