Amy McGovern
- Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning
2019/08/22 by Amy McGovern, Ryan Lagerquist, David John Gagne +5 · 37 citations
Earth and Planetary Sciences · Environmental Science · Computer Science · #Meteorological Phenomena and Simulations #Climate variability and models #Data Analysis with R
- Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences
2023/11/08 by Ann Bostrom, Julie L. Demuth, Christopher D. Wirz +32 · 4 citations
Business, Management and Accounting · Computer Science · Social Sciences · #Big Data and Business Intelligence #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI)
- Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement
2022/11/16 by Montgomery Flora, Montgomery L. Flora, Corey K. Potvin +7 · 1 voice · 1 citation
Computer Science · Engineering · Environmental Science · #Energy Load and Power Forecasting #Explainable Artificial Intelligence (XAI) #Hydrological Forecasting Using AI #cs.AI #cs.LG #physics.ao-ph #stat.AP #stat.ML
- Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction
2022/11/18 by Montgomery L. Flora, Flora, Montgomery, Corey K. Potvin +5 · 1 citation
Computer Science · Decision Sciences · Environmental Science · #Explainable Artificial Intelligence (XAI) #Forecasting Techniques and Applications #Air Quality Monitoring and Forecasting
- Exploring NWS Forecasters’ Assessment of AI Guidance Trustworthiness
2024/08/01 by Mariana G. Cains, Christopher D. Wirz, Julie L. Demuth +5 · 1 citation