Millefiori, Leonardo M.
NATO Centre for Maritime Research and Experimentation · North Atlantic Treaty Organization
12 papers on CoChatORCID 0000-0002-2242-0028
Most cited papers
- Verified
Modeling vessel kinematics using a stochastic mean-reverting process for long-term prediction
Millefiori, L. M., Braca, P., Bryan, K., & Willett, P. (2016) · IEEE Transactions on Aerospace and Electronic Systems
Target Tracking and Data Fusion in Sensor NetworksMaritime Navigation and Safety
Cited by 119
- Verified
Multiple Ornstein–Uhlenbeck Processes for Maritime Traffic Graph Representation
Coscia, P., Braca, P., Millefiori, L. M., Palmieri, F. A. N., & Willett, P. (2018) · IEEE Transactions on Aerospace and Electronic Systems
Maritime Navigation and SafetyData Management and Algorithms
Cited by 77
- Verified
Detecting anomalous deviations from standard maritime routes using the Ornstein-Uhlenbeck process
d'Afflisio, E., Braca, P., Millefiori, L. M., & Willett, P. (2018) · IEEE Transactions on Signal Processing
Anomaly Detection Techniques and ApplicationsMaritime Navigation and Safety
Cited by 59
- Verified
Space-Based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques
Soldi, G., Gaglione, D., Forti, N., Millefiori, L. M., Braca, P., Carniel, S., Simone, A. D., Iodice, A., Riccio, D., Daffina, F. C., et al. (2021) · IEEE Aerospace and Electronic Systems Magazine
Maritime Navigation and SafetyAdvanced Image Fusion Techniques
Cited by 44
- Verified
Maritime Anomaly Detection Based on Mean-Reverting Stochastic Processes Applied to a Real-World Scenario
d'Afflisio, E., Braca, P., Millefiori, L. M., & Willett, P. (2018) · 2018 21st International Conference on Information Fusion (FUSION)
Anomaly Detection Techniques and ApplicationsMaritime Navigation and Safety
Cited by 33
- Verified
Unsupervised extraction of maritime patterns of life from Automatic Identification System data
Forti, N., Millefiori, L. M., & Braca, P. (2019) · OCEANS 2019 - Marseille
Maritime Navigation and SafetyMaritime Security and History
Cited by 33
- Verified
Consistent Estimation of Randomly Sampled Ornstein–Uhlenbeck Process Long-Run Mean for Long-Term Target State Prediction
Millefiori, L. M., Braca, P., & Willett, P. (2016) · IEEE Signal Processing Letters
Target Tracking and Data Fusion in Sensor NetworksControl Systems and Identification
Cited by 30
- Verified
Anomaly Detection and Tracking Based on Mean–Reverting Processes with Unknown Parameters
Forti, N., Millefiori, L. M., Braca, P., & Willett, P. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Target Tracking and Data Fusion in Sensor NetworksAnomaly Detection Techniques and Applications
Cited by 29
- Verified
Hybrid Bernoulli Filtering for Detection and Tracking of Anomalous Path Deviations
Forti, N., Millefiori, L. M., & Braca, P. (2018) · 2018 21st International Conference on Information Fusion (FUSION)
Target Tracking and Data Fusion in Sensor NetworksAnomaly Detection Techniques and Applications
Cited by 14
- Verified
Validation of the Ornstein-Uhlenbeck route propagation model in the Mediterranean Sea
Millefiori, L. M., Pallotta, G., Braca, P., Horn, S., & Bryan, K. (2015) · OCEANS 2015 - Genova
Maritime Navigation and SafetyTarget Tracking and Data Fusion in Sensor Networks
Cited by 13
- Verified
Random finite set tracking for anomaly detection in the presence of clutter
Forti, N., Millefiori, L. M., Braca, P., & Willett, P. (2020) · 2020 IEEE Radar Conference (RadarConf20)
Target Tracking and Data Fusion in Sensor NetworksAnomaly Detection Techniques and Applications
Cited by 11
- Verified
Automated port traffic statistics: From raw data to visualisation
Cazzanti, L., Davoli, A., & Millefiori, L. M. (2016) · 2016 IEEE International Conference on Big Data (Big Data)
Data Visualization and AnalyticsMaritime Navigation and Safety
Cited by 6
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