Prediction of aircraft performances based on data collected by air traffic control centers
Traffic campaigns and overconfidence: An experimental approach
An explainable machine learning approach to improve take-off time predictions
Keep it simple stupid! A non-parametric kernel regression approach to forecast travel speeds
Applications of deep learning in congestion detection, prediction and alleviation: A survey
Hub-and-spoke network design under congestion: A learning based metaheuristic
Modeling train operation as sequences: A study of delay prediction with operation and weather data
Sunspot cycle prediction using Warped Gaussian process regression
Bridges across borders: A clustering approach to support EU regional policy
Trustworthy safety improvement for autonomous driving using reinforcement learning
Machine learning approach to ship fuel consumption: A case of container vessel