Publications

Maritime tracking data analysis and integration with AISdb

Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting

Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns

Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models

ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency

A Data Augmentation Algorithm for Trajectory Data

Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning

Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning

A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels

CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy