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Leonardo Maria Millefiori
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2020 – today
- 2024
- [c32]Giannis Spiliopoulos, Cesar Ducruet, Leonardo Maria Millefiori, Paolo Braca, Dimitris Zissis:
Detecting the Spatiotemporal Characteristics of the Supply-chain Disruption and Estimating its Short Term Effects. EDBT/ICDT Workshops 2024 - [c31]Ryan Harvey, Paolo Braca, Leonardo Maria Millefiori, Peter Willett:
Sequential Hypothesis Testing Based on Machine Learning. FUSION 2024: 1-8 - [c30]Giorgio Ioannou, Domenico Gaglione, Leonardo Maria Millefiori, Alfredo Renga, Paolo Braca, Peter Willett:
Dark-VADER: Detection of Anomalous AIS Message Delays for Maritime Situational Awareness. FUSION 2024: 1-7 - [c29]Enrica d'Afflisio, Leonardo Maria Millefiori, Paolo Braca, Marco Guerriero:
MARITRAC: Maritime trajectory classification using object instance segmentation with model-based generated data augmentation. FUSION 2024: 1-8 - [c28]Domenico Gaglione, Leonardo Maria Millefiori, Paolo Braca, Peter Willett, Moe Z. Win:
Tracking of Multiple Spawning Targets with Heterogeneous Sensors for Seabed-To-Space Situational Awareness. ICASSP 2024: 13196-13200 - [c27]Domenico Barretta, Leonardo Maria Millefiori, Paolo Braca:
Analytical Classification Performance Analysis Of Machine-Learning-Based Ship Detection From Optical Satellite Imagery. IGARSS 2024: 8861-8865 - 2023
- [j18]Samuele Capobianco, Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction With Uncertainty Estimation. IEEE Trans. Aerosp. Electron. Syst. 59(3): 2554-2565 (2023) - [c26]Paolo Braca, Leonardo Maria Millefiori, Augusto Aubry, Stefano Maranò, Antonio De Maio, Peter Willett:
Experimental Corroboration of Trained Classification Performance Predictions. CAMSAP 2023: 1-5 - [c25]Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Model-based Deep Learning for Maneuvering Target Tracking. FUSION 2023: 1-6 - [i4]Paolo Braca, Leonardo Maria Millefiori, Augusto Aubry, Antonio De Maio, Peter Willett:
Large Deviations for Classification Performance Analysis of Machine Learning Systems. CoRR abs/2301.07104 (2023) - 2022
- [j17]Nicola Forti, Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Sandro Carniel, Peter Willett:
Next-Gen Intelligent Situational Awareness Systems for Maritime Surveillance and Autonomous Navigation [Point of View]. Proc. IEEE 110(10): 1532-1537 (2022) - [j16]Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Bayesian Filtering for Dynamic Anomaly Detection and Tracking. IEEE Trans. Aerosp. Electron. Syst. 58(3): 1528-1544 (2022) - [j15]Nicola Forti, Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Peter Willett, Sandro Carniel:
Maritime Anomaly Detection in a Real-World Scenario: Ever Given Grounding in the Suez Canal. IEEE Trans. Intell. Transp. Syst. 23(8): 13904-13910 (2022) - [i3]Samuele Capobianco, Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation. CoRR abs/2205.05404 (2022) - [i2]Paolo Braca, Leonardo Maria Millefiori, Augusto Aubry, Stefano Maranò, Antonio De Maio, Peter Willett:
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis. CoRR abs/2207.10939 (2022) - 2021
- [j14]Shanglin Zhou, Paolo Braca, Stefano Maranò, Peter Willett, Leonardo Maria Millefiori, Domenico Gaglione, Krishna R. Pattipati:
Application of Hidden Markov Models to Analyze, Group and Visualize Spatio-Temporal COVID-19 Data. IEEE Access 9: 134384-134401 (2021) - [j13]Giovanni Soldi, Nicola Forti, Domenico Gaglione, Paolo Braca, Leonardo Maria Millefiori, Stefano Maranò, Peter K. Willett, Krishna R. Pattipati:
Quickest Detection and Forecast of Pandemic Outbreaks: Analysis of COVID-19 Waves. IEEE Commun. Mag. 59(9): 16-22 (2021) - [j12]Paolo Braca, Domenico Gaglione, Stefano Maranò, Leonardo Maria Millefiori, Peter Willett, Krishna R. Pattipati:
Quickest Detection of COVID-19 Pandemic Onset. IEEE Signal Process. Lett. 28: 683-687 (2021) - [j11]Samuele Capobianco, Leonardo Maria Millefiori, Nicola Forti, Paolo Braca, Peter Willett:
Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks. IEEE Trans. Aerosp. Electron. Syst. 57(6): 4329-4346 (2021) - [j10]Augusto Aubry, Paolo Braca, Enrica d'Afflisio, Antonio De Maio, Leonardo Maria Millefiori, Peter Willett:
Optimal Opponent Stealth Trajectory Planning Based on an Efficient Optimization Technique. IEEE Trans. Signal Process. 69: 270-283 (2021) - [c24]Paolo Braca, Domenico Gaglione, Stefano Maranò, Leonardo Maria Millefiori, Peter Willett, Krishna R. Pattipati:
MAST: A Quickest Detection Procedure for COVID-19 Epidemiological Data to Trigger Strategic Decisions. EUSIPCO 2021: 2025-2029 - [c23]Samuele Capobianco, Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Uncertainty-Aware Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction. FUSION 2021: 1-5 - [c22]Mattia Brambilla, Giovanni Soldi, Domenico Gaglione, Leonardo Maria Millefiori, Monica Nicoli, Paolo Braca, Peter Willett, Moe Z. Win:
Sensors Localization and Target Tracking in Underwater Environment via Belief Propagation. MILCOM 2021: 641-646 - [i1]Samuele Capobianco, Leonardo Maria Millefiori, Nicola Forti, Paolo Braca, Peter Willett:
Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks. CoRR abs/2101.02486 (2021) - 2020
- [j9]Domenico Gaglione, Paolo Braca, Leonardo Maria Millefiori, Giovanni Soldi, Nicola Forti, Stefano Maranò, Peter K. Willett, Krishna R. Pattipati:
Adaptive Bayesian Learning and Forecasting of Epidemic Evolution - Data Analysis of the COVID-19 Outbreak. IEEE Access 8: 175244-175264 (2020) - [j8]Tiziana Beltramonte, Paolo Braca, Maurizio di Bisceglie, Alessio Di Simone, Carmela Galdi, Antonio Iodice, Leonardo Maria Millefiori, Daniele Riccio, Peter Willett:
Simulation-Based Feasibility Analysis of Ship Detection Using GNSS-R Delay-Doppler Maps. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1385-1399 (2020) - [j7]Alessio Di Simone, Walter Fuscaldo, Leonardo Maria Millefiori, Daniele Riccio, Giuseppe Ruello, Paolo Braca, Peter Willett:
Analytical Models for the Electromagnetic Scattering From Isolated Targets in Bistatic Configuration: Geometrical Optics Solution. IEEE Trans. Geosci. Remote. Sens. 58(2): 861-880 (2020) - [j6]Paolo Braca, Augusto Aubry, Leonardo Maria Millefiori, Antonio De Maio, Stefano Maranò:
Multi-Class Random Matrix Filtering for Adaptive Learning. IEEE Trans. Signal Process. 68: 359-373 (2020) - [c21]Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Prediction oof Vessel Trajectories From AIS Data Via Sequence-To-Sequence Recurrent Neural Networks. ICASSP 2020: 8936-8940
2010 – 2019
- 2019
- [c20]Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Anomaly Detection and Tracking Based on Mean-Reverting Processes with Unknown Parameters. ICASSP 2019: 8449-8453 - [c19]Murat Üney, Leonardo Maria Millefiori, Paolo Braca:
Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models. ICASSP 2019: 8459-8463 - [c18]Alessio Di Simone, Antonio Iodice, Daniele Riccio, Tiziana Beltramonte, Carmela Galdi, Maurizio di Bisceglie, Paolo Braca, Leonardo Maria Millefiori, Peter Willett:
Ship Detection using GNSS-R delay-Doppler Maps via simulation tools. RTSI 2019: 109-114 - 2018
- [j5]Pasquale Coscia, Paolo Braca, Leonardo Maria Millefiori, Francesco A. N. Palmieri, Peter Willett:
Multiple Ornstein-Uhlenbeck Processes for Maritime Traffic Graph Representation. IEEE Trans. Aerosp. Electron. Syst. 54(5): 2158-2170 (2018) - [j4]Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Peter Willett:
Detecting Anomalous Deviations From Standard Maritime Routes Using the Ornstein-Uhlenbeck Process. IEEE Trans. Signal Process. 66(24): 6474-6487 (2018) - [c17]Paolo Braca, Augusto Aubry, Leonardo Maria Millefiori, Antonio De Maio, Stefano Maranò:
Bayesian Multi-Class Covariance Matrix Filtering for Adaptive Environment Learning. EUSIPCO 2018: 266-270 - [c16]Raffaele Grasso, Leonardo Maria Millefiori, Paolo Braca:
Bayesian Track-to-Graph Association for Maritime Traffic Monitoring. EUSIPCO 2018: 1042-1046 - [c15]Murat Uney, Leonardo Maria Millefiori, Paolo Braca:
Prediction of Rendezvous in Maritime Situational Awareness. FUSION 2018: 622-628 - [c14]Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Peter Willett:
Maritime Anomaly Detection Based on Mean-Reverting Stochastic Processes Applied to a Real-World Scenario. FUSION 2018: 1171-1177 - [c13]Nicola Forti, Leonardo Maria Millefiori, Paolo Braca:
Hybrid Bernoulli Filtering for Detection and Tracking of Anomalous Path Deviations. FUSION 2018: 1178-1184 - [c12]Pasquale Coscia, Francesco A. N. Palmieri, Paolo Braca, Leonardo Maria Millefiori, Peter Willett:
Unsupervised Maritime Traffic Graph Learning with Mean-Reverting Stochastic Processes. FUSION 2018: 1822-1828 - [c11]Walter Fuscaldo, Alessio Di Simone, Leonardo Maria Millefiori, Daniele Riccio, Giuseppe Ruello, Paolo Braca, Peter K. Willett:
Electromagnetic Modeling of Ships in Maritime Scenarios: Geometrical Optics Approximation. IGARSS 2018: 452-455 - [c10]Alessio Di Simone, Leonardo Maria Millefiori, Gerardo Di Martino, Antonio Iodice, Daniele Riccio, Giuseppe Ruello, Paolo Braca, Peter Willett:
Spaceborne GNSS-Reflectometry for Ship-Detection Applications: Impact of Acquisition Geometry and Polarization. IGARSS 2018: 1071-1074 - [c9]Alessio Di Simone, Gerardo Di Martino, Antonio Iodice, Daniele Riccio, Giuseppe Ruello, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Maritime Surveillance Using Spaceborne GNSS-Reflectometry: The Role of the Scattering Configuration and Receiving Polarization Channel. RTSI 2018: 1-5 - 2017
- [j3]Gemine Vivone, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Performance Assessment of Vessel Dynamic Models for Long-Term Prediction Using Heterogeneous Data. IEEE Trans. Geosci. Remote. Sens. 55(11): 6533-6546 (2017) - [c8]Leonardo Maria Millefiori, Paolo Braca, Gianfranco Arcieri:
Scalable distributed change detection and its application to maritime traffic. IEEE BigData 2017: 1650-1657 - 2016
- [j2]Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Consistent Estimation of Randomly Sampled Ornstein-Uhlenbeck Process Long-Run Mean for Long-Term Target State Prediction. IEEE Signal Process. Lett. 23(11): 1562-1566 (2016) - [j1]Leonardo Maria Millefiori, Paolo Braca, Karna Bryan, Peter Willett:
Modeling vessel kinematics using a stochastic mean-reverting process for long-term prediction. IEEE Trans. Aerosp. Electron. Syst. 52(5): 2313-2330 (2016) - [c7]Luca Cazzanti, Antonio Davoli, Leonardo Maria Millefiori:
Automated port traffic statistics: From raw data to visualisation. IEEE BigData 2016: 1569-1573 - [c6]Leonardo Maria Millefiori, Dimitrios Zissis, Luca Cazzanti, Gianfranco Arcieri:
A distributed approach to estimating sea port operational regions from lots of AIS data. IEEE BigData 2016: 1627-1632 - [c5]Stefano Coraluppi, Craig Carthel, Paolo Braca, Leonardo Maria Millefiori:
The Mixed Ornstein-Uhlenbeck Process and context exploitation in multi-target tracking. FUSION 2016: 217-224 - [c4]Leonardo Maria Millefiori, Paolo Braca, Karna Bryan, Peter Willett:
Long-term vessel kinematics prediction exploiting mean-reverting processes. FUSION 2016: 232-239 - [c3]Leonardo Maria Millefiori, Dimitrios Zissis, Luca Cazzanti, Gianfranco Arcieri:
Scalable and Distributed Sea Port Operational Areas Estimation from AIS Data. ICDM Workshops 2016: 374-381 - 2015
- [c2]Luca Cazzanti, Leonardo Maria Millefiori, Gianfranco Arcieri:
A document-based data model for large scale computational maritime situational awareness. IEEE BigData 2015: 1350-1356 - [c1]Leonardo Maria Millefiori, Paolo Braca, Karna Bryan, Peter Willett:
Adaptive filtering of imprecisely time-stamped measurements with application to AIS networks. FUSION 2015: 359-365
Coauthor Index
aka: Peter K. Willett
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last updated on 2024-10-25 21:17 CEST by the dblp team
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