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Maschinelles Lernen
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A Bayesian deep learning method for freeway incident detection with uncertainty quantification
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
A crash severity analysis at highway-rail grade crossings: The random survival forest method
A data-centric weak supervised learning for highway traffic incident detection
A hybrid machine learning model for predicting Real-Time secondary crash likelihood
A literature review of machine learning algorithms for crash injury severity prediction
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
Analyzing angle crashes at unsignalized intersections using machine learning techniques
An integrated data- and theory-driven crash severity model
An interpretable clustering approach to safety climate analysis: Examining driver group distinctions