activity
20112023
most citedA Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors

232 citations · 657 across the 22 of their papers we have counts for

collaborators

23 papers

eess.SP2023

3D Localization and Tracking Methods for Multi-Platform Radar Networks

Angela Marino, Giovanni Soldi, Domenico Gaglione +4

Multi-platform radar networks (MPRNs) are an emerging sensing technology due to their ability to provide improved surveillance capabilities over plain monostatic and bistatic syste…

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★ 40 cited

Fusion of Sensor Measurements and Target-Provided Information in Multitarget Tracking

Domenico Gaglione, Paolo Braca, Giovanni Soldi +3

Tracking multiple time-varying states based on heterogeneous observations is a key problem in many applications. Here, we develop a statistical model and algorithm for tracking an…