2 citations · 2 across the 3 of their papers we have counts for
3 papers
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
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…
cs.LG2023★ 2 cited
Counterfactual Explanations of Neural Network-Generated Response Curves
Giorgio Morales, John Sheppard
Response curves exhibit the magnitude of the response of a sensitive system to a varying stimulus. However, response of such systems may be sensitive to multiple stimuli (i.e., inp…