MILLEFIORI, LEONARDO MARIA Statistiche

MILLEFIORI, LEONARDO MARIA  

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Adaptive Bayesian learning and forecasting of epidemic evolution-data analysis of the COVID-19 outbreak 1-gen-2020 Gaglione, D.; Braca, P.; Millefiori, L. M.; Soldi, G.; Forti, N.; Marano, S.; Willett, P. K.; Pattipati, K. R.
Analytical Models for the Electromagnetic Scattering from Isolated Targets in Bistatic Configuration: Geometrical Optics Solution 1-gen-2020 Di Simone, A.; Fuscaldo, W.; Millefiori, L. M.; Riccio, D.; Ruello, G.; Braca, P.; Willett, P.
Anomaly Detection and Tracking Based on Mean-Reverting Processes with Unknown Parameters 1-gen-2019 Forti, N.; Millefiori, L. M.; Braca, P.; Willett, P.
Bayesian Filtering for Dynamic Anomaly Detection and Tracking In corso di stampa Forti, N.; Millefiori, L. M.; Braca, P.; Willett, P.
A Convenient Analytical Framework for Electromagnetic Scattering From Composite Targets 1-gen-2019 Fuscaldo, W.; Disimone, A.; Millefiori, L. M.; Iodice, A.; Braca, P.; Willett, P. K.
COVID-19 impact on global maritime mobility 1-gen-2021 Millefiori, L. M.; Braca, P.; Zissis, D.; Spiliopoulos, G.; Marano, S.; Willett, P. K.; Carniel, S.
Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models 1-gen-2019 Uney, M.; Millefiori, L. M.; Braca, P.
Decision support for the quickest detection of critical COVID-19 phases 1-gen-2021 Braca, P.; Gaglione, D.; Marano, S.; Millefiori, L. M.; Willett, P.; Pattipati, K.
Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks 1-gen-2021 Capobianco, S.; Millefiori, L. M.; Forti, N.; Braca, P.; Willett, P.
Maritime Anomaly Detection in a Real-World Scenario: Ever Given Grounding in the Suez Canal In corso di stampa Forti, Nicola; D'Afflisio, Enrica; Braca, Paolo; Millefiori, Leonardo M.; Willett, Peter; Carniel, Sandro
MAST: A Quickest Detection Procedure for COVID-19 Epidemiological Data to Trigger Strategic Decisions 1-gen-2021 Braca, P.; Gaglione, D.; Marano, S.; Millefiori, L. M.; Willett, P.; Pattipati, K.
Maximum likelihood estimation in a parametric stochastic trajectory model 1-gen-2019 Uney, M.; Millefiori, L. M.; Braca, P.
Multi-Class Random Matrix Filtering for Adaptive Learning 1-gen-2020 Braca, P.; Aubry, A.; Millefiori, L. M.; De Maio, A.; Marano, S.
On the Probability of Cross-Radar Assignment Error 1-gen-2020 Braca, P.; Millefiori, L. M.; Marano, S.; Willett, P.; Blair, W. D.
Optimal Opponent Stealth Trajectory Planning Based on an Efficient Optimization Technique 1-gen-2021 Aubry, A.; Braca, P.; D'Afflisio, E.; De Maio, A.; Millefiori, L. M.; Willett, P.
Optimal Stealth Trajectory Design to Deceive Anomaly Detection Process 1-gen-2019 D'Afflisio, E.; Aubry, A.; Braca, P.; Maio, A. D.; Millefiori, L. M.
Prediction of Vessel Trajectories from AIS Data Via Sequence-To-Sequence Recurrent Neural Networks 1-gen-2020 Forti, N.; Millefiori, L. M.; Braca, P.; Willett, P.
Quickest Detection and Forecast of Pandemic Outbreaks: Analysis of COVID-19 Waves 1-gen-2021 Soldi, G.; Forti, N.; Gaglione, D.; Braca, P.; Millefiori, L. M.; Marano, S.; Willett, P. K.; Pattipati, K. R.
Quickest Detection of COVID-19 Pandemic Onset 1-gen-2021 Braca, P.; Gaglione, D.; Marano, S.; Millefiori, L. M.; Willett, P.; Pattipati, K. R.
Random Finite Set Tracking for Anomaly Detection in the Presence of Clutter 1-gen-2020 Forti, N.; Millefiori, L. M.; Braca, P.; Willett, P.