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Keep it simple stupid! A non-parametric kernel regression approach to forecast travel speeds
Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions
On combining Big Data and machine learning to support eco-driving behaviours
Traffic campaigns and overconfidence: An experimental approach
An explainable machine learning approach to improve take-off time predictions
Bridges across borders: A clustering approach to support EU regional policy
Sunspot cycle prediction using Warped Gaussian process regression
Adaptive Deep Learning through Visual Domain Localization
Dynamic "Standing Orders" for Autonomous Navigation System by means of Machine Learning
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Federated learning on the road autonomous controller design for connected and autonomous vehicles
Flight Arrival Delay Prediction Using Supervised Machine Learning Algorithms
Intelligent Classification of Automotive Horn Sound Quality