Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference65 articles.
1. A novel approach to uncertainty quantification in groundwater table modeling by automated predictive deep learning;Abbaszadeh Shahri;Nat. Resour. Res.,2022
2. Updating the neural network sediment load models using different sensitivity analysis methods: a regional application;Asheghi;J. Hydroinform.,2020
3. The need for uncertainty quantification in machine-assisted medical decision making;Begoli;Nat. Mach. Intell.,2019
4. Learning the dynamics of particle-based systems with Lagrangian graph neural networks;Bhattoo;Mach. Learn.: Sci. Technol.,2023
5. Brody, S., Alon, U., Yahav, E., 2022. How Attentive are Graph Attention Networks?. In: International Conference on Learning Representations (ICLR 2022). URL https://openreview.net/forum?id=F72ximsx7C1.
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