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Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Federated Learning for Spanish Ports as an Aid to Digitization
Progressive Bayesian Neural Networks
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Generalizability of Code Clone Detection on CodeBERT
Parareal with a learned coarse model for robotic manipulation
Maintenance Strategies Overlook for Devices Under Operation
Machine Learning Based Approach to a Crane Load Estimation
Optimizing inventory control through a data-driven and model-independent framework
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Prediction of transonic wing buffet pressure based on deep learning
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems