3 papers
Context-Enriched Natural Language Descriptions of Vessel Trajectories
Kostas Patroumpas, Alexandros Troupiotis-Kapeliaris, Giannis Spiliopoulos +4
We address the problem of transforming raw vessel trajectory data collected from AIS into structured and semantically enriched representations interpretable by humans and directly…
Data-Driven Trajectory Imputation for Vessel Mobility Analysis
Giannis Spiliopoulos, Alexandros Troupiotis-Kapeliaris, Kostas Patroumpas +4
Modeling vessel activity at sea is critical for a wide range of applications, including route planning, transportation logistics, maritime safety, and environmental monitoring. Ove…
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data
Serafeim Papadias, Kostas Patroumpas, Dimitrios Skoutas
ML models critically depend on feature quality, yet in real-world settings, useful features are often distributed across multiple relational tables rather than a single dataset. Fe…