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Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons
A deep learning based traffic crash severity prediction framework
Learning efficient haptic shape exploration with a rigid tactile sensor array
A feature learning approach based on XGBoost for driving assessment and risk prediction
Highway crash detection and risk estimation using deep learning
Some implications of an event-based definition of exposure to the risk of road accident
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
Warning systems triggered by trains increase flight-initiation times of wildlife
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data
Estimating wildlife strike costs at US airports: A machine learning approach
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee