1 citations · 1 across the 6 of their papers we have counts for
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Multi-Task Learning for Sparsely-Labeled Time Series: A Case Study on Cold-Hardiness Modeling
Aseem Saxena, Paola Pesántez-Cabrera, Jonathan Magby +2
We present a real-world case study of multi-task learning (MTL) for temporal process modeling from limited data with temporally sparse labels. Specifically, we investigate multi-ta…
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…
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…