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The NTUA actively contributed by presenting 9 papers and a key note speech:
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Artificial Intelligence and Road Safety
Enhancing Risky Driving Behavior Classification Using Conditional GANs (cGANs): A Data Augmentation Approach
Identifying Dangerous Driving Behaviour through Big Data and Machine Learning Techniques
Analysis of the Acceptability and Cost Benefits of Reducing the Speed Limit to 80 km/h on the Intercity Road Network in Greece
Weak supervision and fine-tuning with contrastive learning for multiclass lane marking segmentation
A Time-Window GNN-Based Network Partition for Identifying High- and Low-Risk Nodes in Road Networks
Advances in Advanced Driver Assistance Systems and Automated Driving technologies within the European Context
Exploring Public Perceptions of city-wide 30 km/h Speed Limits in Greece: A Survey-Based Study
Influence of Vehicle Characteristics on Driving Events Based a Naturalistic Driving Experiment
When the Lights Go Out: Observing Pedestrian and Driver Behavior During a Traffic Signal Failure in Central Athens








