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cs.LG2024
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
Giorgio Morales, John Sheppard
Obtaining high certainty in predictive models is crucial for making informed and trustworthy decisions in many scientific and engineering domains. However, extensive experimentatio…
cs.LG2024★ 1 cited
Univariate Skeleton Prediction in Multivariate Systems Using Transformers
Giorgio Morales, John W. Sheppard
Symbolic regression (SR) methods attempt to learn mathematical expressions that approximate the behavior of an observed system. However, when dealing with multivariate systems, the…
cs.LG2024
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones
Giorgio Morales, John Sheppard
In Precision Agriculture, the utilization of management zones (MZs) that take into account within-field variability facilitates effective fertilizer management. This approach enabl…