3 papers
cs.AI2026
A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
William Solow, Paola Pesantez-Cabrera, Markus Keller +3
Accurate prediction of crop states (e.g., phenology stages and cold hardiness) is essential for timely farm management decisions such as irrigation, fertilization, and canopy manag…
cs.LG2025
Budgeted Online Active Learning with Expert Advice and Episodic Priors
Kristen Goebel, William Solow, Paola Pesantez-Cabrera +2
This paper introduces a novel approach to budgeted online active learning from finite-horizon data streams with extremely limited labeling budgets. In agricultural applications, su…
cs.LG2025
Transfer Learning via Auxiliary Labels with Application to Cold-Hardiness Prediction
Kristen Goebel, Paola Pesantez-Cabrera, Markus Keller +1
Cold temperatures can cause significant frost damage to fruit crops depending on their resilience, or cold hardiness, which changes throughout the dormancy season. This has led to…