Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification

On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)

Dagstuhl Research Online Publication Server · 2024 · 13.3K citations · Full text

Computing, Computer Science, Data Science +17

Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations

Daniel N. Moriasi, J. G. Arnold, M. W. Van Liew et al. · Transactions of the ASABE · 2007 · 13.2K citations

Natural Resources, Hydrology, Watershed Management +17

From local explanations to global understanding with explainable AI for trees

Scott Lundberg, Gabriel Erion, Hugh Chen et al. · Nature Machine Intelligence · 2020 · 8.9K citations · Full text

Computing, Computer Science, Data Science +16

Simple and Scalable Predictive Uncertainty Estimation using Deep\n Ensembles

Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell · arXiv (Cornell University) · 2016 · 3K citations · Full text

Computing, Computer Science, Machine Learning +13

Interpretable Machine Learning

Valerie Chen, Jeffrey Li, Joon Sik Kim et al. · Queue · 2021 · 540 citations · Full text

Computing, Computer Science, Artificial Intelligence +12