Publications

(2024). Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns. Ocean Engineering.
(2024). Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting. arXiv preprint arXiv:2310.18948.
(2024). Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models. Scientific Reports.
(2023). A Data Augmentation Algorithm for Trajectory Data. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging Issues and Ethical Perspectives 2023.
(2023). Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. IEEE Access.
(2022). Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.
(2022). CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy. Applied Sciences.
(2021). Neural Networks for Seismic Data Inversion. Mathematics in Industry Reports.
(2021). Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. Sensors.