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Dive into the research topics where AI-LEAF: Land, Economy, Agriculture & Forestry is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
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
Profiles
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Chad R Babcock
- Forest Resources - Assistant Professor
- AI-LEAF: Land, Economy, Agriculture & Forestry
Person: Affiliate, Faculty
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The Fate of Minnesota Lakes in the Next Century
Ebtehaj, A. (PI), Kumar, V. (PI) & Hondzo, M. (CoI)
LEGISLATIVE-CITIZEN COMMISSION ON MN RES
7/1/24 → 7/31/27
Project: Research project
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III: Medium: Advancing Deep Learning for Inverse Modeling
Deshwal, A. (PI), Kumar, V. (PI), Nieber, J. L. (PI), Ramadan, E. (PI), Steinbach, M. (CoI), Chatterjee, A. (Prior Principal Investigator) & Jin, Z. (Prior Principal Investigator)
THE NATIONAL SCIENCE FOUNDATION
8/1/23 → 7/31/27
Project: Research project
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III: Medium: Investigating Spatial-Temporal Informatics for Transportation Science
Dalbotten, D. M. (PI), Northrop, W. (PI), Shekhar, S. (PI) & Haag, S. R. (CoI)
THE NATIONAL SCIENCE FOUNDATION
8/1/19 → 7/31/26
Project: Research project
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Comparative life cycle carbon footprints of buy online pick up in-store retail
Sun, L., Tian, X. & You, F., May 2026, In: Transportation Research Part D: Transport and Environment. 154, 105290.Research output: Contribution to journal › Article › peer-review
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Disentangling the Architectural Bias in Modeling Interannual Peatland Methane Variability
Zeng, F., Yuan, F. & Griffis, T. J., 2026, In: Journal of Geophysical Research: Machine Learning and Computation.Research output: Contribution to journal › Article
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Election-Based Task Pruning in Mixture-of-Experts for Scalable
Bachinin, A., Pallickara, S. & Pallickara, S., May 2026.Research output: Contribution to conference › Paper › peer-review