A document-based data model for large scale computational maritime situational awareness. - Luca Cazzanti; Leonardo Maria Millefiori; Gianfranco Arcieri (IEEE BigData, 2015)

Adaptive filtering of imprecisely time-stamped measurements with application to AIS networks. - Leonardo Maria Millefiori; Paolo Braca; Karna Bryan; Peter Willett 001 (FUSION, 2015)

Automated port traffic statistics: From raw data to visualisation. - Luca Cazzanti; Antonio Davoli; Leonardo Maria Millefiori (IEEE BigData, 2016)

A distributed approach to estimating sea port operational regions from lots of AIS data. - Leonardo Maria Millefiori; Dimitrios Zissis; Luca Cazzanti; Gianfranco Arcieri (IEEE BigData, 2016)

The Mixed Ornstein-Uhlenbeck Process and context exploitation in multi-target tracking. - Stefano Coraluppi; Craig Carthel; Paolo Braca; Leonardo Maria Millefiori (FUSION, 2016)

Long-term vessel kinematics prediction exploiting mean-reverting processes. - Leonardo Maria Millefiori; Paolo Braca; Karna Bryan; Peter Willett 001 (FUSION, 2016)

Scalable and Distributed Sea Port Operational Areas Estimation from AIS Data. - Leonardo Maria Millefiori; Dimitrios Zissis; Luca Cazzanti; Gianfranco Arcieri (ICDM Workshops, 2016)

Consistent Estimation of Randomly Sampled Ornstein-Uhlenbeck Process Long-Run Mean for Long-Term Target State Prediction. - Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001 (IEEE Signal Process. Lett., 2016)

Modeling vessel kinematics using a stochastic mean-reverting process for long-term prediction. - Leonardo Maria Millefiori; Paolo Braca; Karna Bryan; Peter Willett 001 (IEEE Trans. Aerosp. Electron. Syst., 2016)

Scalable distributed change detection and its application to maritime traffic. - Leonardo Maria Millefiori; Paolo Braca; Gianfranco Arcieri (IEEE BigData, 2017)

Performance Assessment of Vessel Dynamic Models for Long-Term Prediction Using Heterogeneous Data. - Gemine Vivone; Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

Bayesian Multi-Class Covariance Matrix Filtering for Adaptive Environment Learning. - Paolo Braca; Augusto Aubry; Leonardo Maria Millefiori; Antonio De Maio; Stefano Maranò 001 (EUSIPCO, 2018)

Bayesian Track-to-Graph Association for Maritime Traffic Monitoring. - Raffaele Grasso; Leonardo Maria Millefiori; Paolo Braca (EUSIPCO, 2018)

Unsupervised Maritime Traffic Graph Learning with Mean-Reverting Stochastic Processes. - Pasquale Coscia; Francesco A. N. Palmieri; Paolo Braca; Leonardo Maria Millefiori; Peter Willett 001 (FUSION, 2018)

Hybrid Bernoulli Filtering for Detection and Tracking of Anomalous Path Deviations. - Nicola Forti; Leonardo Maria Millefiori; Paolo Braca (FUSION, 2018)

Prediction of Rendezvous in Maritime Situational Awareness. - Murat Uney; Leonardo Maria Millefiori; Paolo Braca (FUSION, 2018)

Maritime Anomaly Detection Based on Mean-Reverting Stochastic Processes Applied to a Real-World Scenario. - Enrica d'Afflisio; Paolo Braca; Leonardo Maria Millefiori; Peter Willett 001 (FUSION, 2018)

Electromagnetic Modeling of Ships in Maritime Scenarios: Geometrical Optics Approximation. - Walter Fuscaldo; Alessio Di Simone; Leonardo Maria Millefiori; Daniele Riccio; Giuseppe Ruello; Paolo Braca; Peter K. Willett (IGARSS, 2018)

Spaceborne GNSS-Reflectometry for Ship-Detection Applications: Impact of Acquisition Geometry and Polarization. - Alessio Di Simone; Leonardo Maria Millefiori; Gerardo Di Martino; Antonio Iodice; Daniele Riccio; Giuseppe Ruello; Paolo Braca; Peter Willett 001 (IGARSS, 2018)

Maritime Surveillance Using Spaceborne GNSS-Reflectometry: The Role of the Scattering Configuration and Receiving Polarization Channel. - Alessio Di Simone; Gerardo Di Martino; Antonio Iodice; Daniele Riccio; Giuseppe Ruello; Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001 (RTSI, 2018)

Multiple Ornstein-Uhlenbeck Processes for Maritime Traffic Graph Representation. - Pasquale Coscia; Paolo Braca; Leonardo Maria Millefiori; Francesco A. N. Palmieri; Peter Willett 001 (IEEE Trans. Aerosp. Electron. Syst., 2018)

Detecting Anomalous Deviations From Standard Maritime Routes Using the Ornstein-Uhlenbeck Process. - Enrica d'Afflisio; Paolo Braca; Leonardo Maria Millefiori; Peter Willett 001 (IEEE Trans. Signal Process., 2018)

Anomaly Detection and Tracking Based on Mean-Reverting Processes with Unknown Parameters. - Nicola Forti; Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001 (ICASSP, 2019)

Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models. - Murat Üney; Leonardo Maria Millefiori; Paolo Braca (ICASSP, 2019)

Ship Detection using GNSS-R delay-Doppler Maps via simulation tools. - Alessio Di Simone; Antonio Iodice; Daniele Riccio; Tiziana Beltramonte; Carmela Galdi; Maurizio di Bisceglie; Paolo Braca; Leonardo Maria Millefiori; Peter Willett 001 (RTSI, 2019)

Prediction oof Vessel Trajectories From AIS Data Via Sequence-To-Sequence Recurrent Neural Networks. - Nicola Forti; Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001 (ICASSP, 2020)

Adaptive Bayesian Learning and Forecasting of Epidemic Evolution - Data Analysis of the COVID-19 Outbreak. - Domenico Gaglione; Paolo Braca; Leonardo Maria Millefiori; Giovanni Soldi; Nicola Forti; Stefano Maranò 001; Peter K. Willett; Krishna R. Pattipati (IEEE Access, 2020)

Simulation-Based Feasibility Analysis of Ship Detection Using GNSS-R Delay-Doppler Maps. - Tiziana Beltramonte; Paolo Braca; Maurizio di Bisceglie; Alessio Di Simone; Carmela Galdi; Antonio Iodice; Leonardo Maria Millefiori; Daniele Riccio; Peter Willett 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Analytical Models for the Electromagnetic Scattering From Isolated Targets in Bistatic Configuration: Geometrical Optics Solution. - Alessio Di Simone; Walter Fuscaldo; Leonardo Maria Millefiori; Daniele Riccio; Giuseppe Ruello; Paolo Braca; Peter Willett 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Multi-Class Random Matrix Filtering for Adaptive Learning. - Paolo Braca; Augusto Aubry; Leonardo Maria Millefiori; Antonio De Maio; Stefano Maranò 001 (IEEE Trans. Signal Process., 2020)

MAST: A Quickest Detection Procedure for COVID-19 Epidemiological Data to Trigger Strategic Decisions. - Paolo Braca; Domenico Gaglione; Stefano Maranò 001; Leonardo Maria Millefiori; Peter Willett 001; Krishna R. Pattipati (EUSIPCO, 2021)

Uncertainty-Aware Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction. - Samuele Capobianco; Nicola Forti; Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001 (FUSION, 2021)

Sensors Localization and Target Tracking in Underwater Environment via Belief Propagation. - Mattia Brambilla; Giovanni Soldi; Domenico Gaglione; Leonardo Maria Millefiori; Monica Nicoli; Paolo Braca; Peter Willett 001; Moe Z. Win (MILCOM, 2021)

Application of Hidden Markov Models to Analyze, Group and Visualize Spatio-Temporal COVID-19 Data. - Shanglin Zhou; Paolo Braca; Stefano Maranò 001; Peter Willett 001; Leonardo Maria Millefiori; Domenico Gaglione; Krishna R. Pattipati (IEEE Access, 2021)

Quickest Detection and Forecast of Pandemic Outbreaks: Analysis of COVID-19 Waves. - Giovanni Soldi; Nicola Forti; Domenico Gaglione; Paolo Braca; Leonardo Maria Millefiori; Stefano Maranò 001; Peter K. Willett; Krishna R. Pattipati (IEEE Commun. Mag., 2021)

Quickest Detection of COVID-19 Pandemic Onset. - Paolo Braca; Domenico Gaglione; Stefano Maranò 001; Leonardo Maria Millefiori; Peter Willett 001; Krishna R. Pattipati (IEEE Signal Process. Lett., 2021)

Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks. - Samuele Capobianco; Leonardo Maria Millefiori; Nicola Forti; Paolo Braca; Peter Willett 001 (IEEE Trans. Aerosp. Electron. Syst., 2021)

Optimal Opponent Stealth Trajectory Planning Based on an Efficient Optimization Technique. - Augusto Aubry; Paolo Braca; Enrica d'Afflisio; Antonio De Maio; Leonardo Maria Millefiori; Peter Willett 001 (IEEE Trans. Signal Process., 2021)

Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis. - Paolo Braca; Leonardo Maria Millefiori; Augusto Aubry; Stefano Maranò 001; Antonio De Maio; Peter Willett 001 (CoRR, 2022)

Next-Gen Intelligent Situational Awareness Systems for Maritime Surveillance and Autonomous Navigation [Point of View]. - Nicola Forti; Enrica d'Afflisio; Paolo Braca; Leonardo Maria Millefiori; Sandro Carniel; Peter Willett 001 (Proc. IEEE, 2022)

Bayesian Filtering for Dynamic Anomaly Detection and Tracking. - Nicola Forti; Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001 (IEEE Trans. Aerosp. Electron. Syst., 2022)

Maritime Anomaly Detection in a Real-World Scenario: Ever Given Grounding in the Suez Canal. - Nicola Forti; Enrica d'Afflisio; Paolo Braca; Leonardo Maria Millefiori; Peter Willett 001; Sandro Carniel (IEEE Trans. Intell. Transp. Syst., 2022)

Experimental Corroboration of Trained Classification Performance Predictions. - Paolo Braca; Leonardo Maria Millefiori; Augusto Aubry; Stefano Maranò 001; Antonio De Maio; Peter Willett 001 (CAMSAP, 2023)

Model-based Deep Learning for Maneuvering Target Tracking. - Nicola Forti; Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001 (FUSION, 2023)

Large Deviations for Classification Performance Analysis of Machine Learning Systems. - Paolo Braca; Leonardo Maria Millefiori; Augusto Aubry; Antonio De Maio; Peter Willett 001 (CoRR, 2023)

Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction With Uncertainty Estimation. - Samuele Capobianco; Nicola Forti; Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001 (IEEE Trans. Aerosp. Electron. Syst., 2023)

Detecting the Spatiotemporal Characteristics of the Supply-chain Disruption and Estimating its Short Term Effects. - Giannis Spiliopoulos; Cesar Ducruet; Leonardo Maria Millefiori; Paolo Braca; Dimitris Zissis (EDBT/ICDT Workshops, 2024)

Sequential Hypothesis Testing Based on Machine Learning. - Ryan Harvey; Paolo Braca; Leonardo Maria Millefiori; Peter Willett 001 (FUSION, 2024)

Dark-VADER: Detection of Anomalous AIS Message Delays for Maritime Situational Awareness. - Giorgio Ioannou; Domenico Gaglione; Leonardo Maria Millefiori; Alfredo Renga; Paolo Braca; Peter Willett 001 (FUSION, 2024)

MARITRAC: Maritime trajectory classification using object instance segmentation with model-based generated data augmentation. - Enrica d'Afflisio; Leonardo Maria Millefiori; Paolo Braca; Marco Guerriero (FUSION, 2024)

Tracking of Multiple Spawning Targets with Heterogeneous Sensors for Seabed-To-Space Situational Awareness. - Domenico Gaglione; Leonardo Maria Millefiori; Paolo Braca; Peter Willett 001; Moe Z. Win (ICASSP, 2024)

Analytical Classification Performance Analysis Of Machine-Learning-Based Ship Detection From Optical Satellite Imagery. - Domenico Barretta; Leonardo Maria Millefiori; Paolo Braca (IGARSS, 2024)