The following pages link to John Lipor (Q140770):
Displayed 6 items.
- What did they just say? Building a Rosetta stone for geoscience and machine learning (Q150736) (← links)
- When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates (Q255821) (← links)
- Don’t Let Negatives Hold You Back: Accounting for Underlying Physics and Natural Distributions of Hydrothermal Systems When Selecting Negative Training Sites Leads to Better Machine Learning Predictions (Q276858) (← links)
- Predicting geothermal favorability in the western United States by using machine learning: Addressing challenges and developing solutions (Q292911) (← links)
- Predicting large hydrothermal systems (Q299337) (← links)
- Cursed? Why one does not simply add new data sets to supervised geothermal machine learning models (Q314495) (← links)