activity
20202023
most citedSpace-based Global Maritime Surveillance. Part I: Satellite Technologies

85 citations · 202 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SP2023★ 1 cited

Monitoring of Underwater Critical Infrastructures: the Nord Stream and Other Recent Case Studies

Giovanni Soldi, Domenico Gaglione, Simone Raponi +11

The explosions on September 26th, 2022, which damaged the gas pipelines of Nord Stream 1 and Nord Stream 2, have highlighted the need and urgency of improving the resilience of Und…

cs.LG2023★ 3 cited

Large Deviations for Classification Performance Analysis of Machine Learning Systems

Paolo Braca, Leonardo M. Millefiori, Augusto Aubry +2

We study the performance of machine learning binary classification techniques in terms of error probabilities. The statistical test is based on the Data-Driven Decision Function (D…

stat.ML2022★ 16 cited

Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis

Paolo Braca, Leonardo M. Millefiori, Augusto Aubry +3

We study the performance -- and specifically the rate at which the error probability converges to zero -- of Machine Learning (ML) classification techniques. Leveraging the theory…

cs.CV2022★ 2 cited

Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation

Samuele Capobianco, Nicola Forti, Leonardo M. Millefiori +2

Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical Automatic Identification System (AIS) data and accurately…

eess.SP2021★ 17 cited

Quickest Detection and Forecast of Pandemic Outbreaks: Analysis of COVID-19 Waves

Giovanni Soldi, Nicola Forti, Domenico Gaglione +5

The COVID-19 pandemic has, worldwide and up to December 2020, caused over 1.7 million deaths, and put the world's most advanced healthcare systems under heavy stress. In many count…

cs.CV2021★ 14 cited

Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks

Samuele Capobianco, Leonardo M. Millefiori, Nicola Forti +2

Data-driven methods open up unprecedented possibilities for maritime surveillance using Automatic Identification System (AIS) data. In this work, we explore deep learning strategie…

eess.SP2020★ 3 cited

Space-based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques

Giovanni Soldi, Domenico Gaglione, Nicola Forti +11

Maritime surveillance (MS) is of paramount importance for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national s…

eess.SP2020★ 85 cited

Space-based Global Maritime Surveillance. Part I: Satellite Technologies

Giovanni Soldi, Domenico Gaglione, Nicola Forti +11

Maritime surveillance (MS) is crucial for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies…

physics.soc-ph2020★ 9 cited

Decision Support for the Quickest Detection of Critical COVID-19 Phases

Paolo Braca, Domenico Gaglione, Stefano Marano +3

During the course of an epidemic, one of the most challenging tasks for authorities is to decide what kind of restrictive measures to introduce and when these should be enforced. I…

eess.SP2020★ 17 cited

Quickest Detection of COVID-19 Pandemic Onset

Paolo Braca, Domenico Gaglione, Stefano Marano +3

This paper develops an easily-implementable version of Page's CUSUM quickest-detection test, designed to work in certain composite hypothesis scenarios with time-varying data stati…

econ.GN2020★ 35 cited

COVID-19 Impact on Global Maritime Mobility

Leonardo M. Millefiori, Paolo Braca, Dimitris Zissis +4

To prevent the outbreak of the Coronavirus disease (COVID-19), many countries around the world went into lockdown and imposed unprecedented containment measures. These restrictions…