232 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ConnecticutUS7 papers
- TU WienAT5 papers
- University of SalernoIT5 papers
- University of Naples Federico IIIT4 papers
- Consejo Superior de Investigaciones CientíficasES3 papers
- Massachusetts Institute of TechnologyUS3 papers
- Mediterranean Institute for Advanced StudiesSI3 papers
- North Atlantic Treaty OrganizationBE3 papers
- Universitat de les Illes BalearsES3 papers
- Economical and Social Research CentreIT2 papers
- e GEOS (Italy)IT2 papers
- Scripps Institution of OceanographyUS2 papers
19 papers
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…
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…
Enhanced Target Localization with Deployable Multiplatform Radar Nodes Based on Non-Convex Constrained Least Squares Optimization
Augusto Aubry, Paolo Braca, Antonio De Maio +1
A new algorithm for 3D localization in multiplatform radar networks, comprising one transmitter and multiple receivers, is proposed. To take advantage of the monostatic sensor radi…
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…
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…
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…
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…
Classification-Aided Multitarget Tracking Using the Sum-Product Algorithm
Domenico Gaglione, Giovanni Soldi, Paolo Braca +3
Multitarget tracking (MTT) is a challenging task that aims at estimating the number of targets and their states from measurements of the target states provided by one or multiple s…
Composite Event Recognition for Maritime Monitoring
Manolis Pitsikalis, Alexander Artikis, Richard Dreo +3
Maritime monitoring systems support safe shipping as they allow for the real-time detection of dangerous, suspicious and illegal vessel activities. We present such a system using t…
MAP moving horizon estimation for threshold measurements with application to field monitoring
Giorgio Battistelli, Luigi Chisci, Nicola Forti +1
The paper deals with state estimation of a spatially distributed system given noisy measurements from pointwise-in-time-and-space threshold sensors spread over the spatial domain o…
Additional Representations for Improving Synthetic Aperture Sonar Classification Using Convolutional Neural Networks
Isaac Gerg, David Williams
Object classification in synthetic aperture sonar (SAS) imagery is usually a data starved and class imbalanced problem. There are few objects of interest present among much benign…
Signal Amplitude Estimation and Detection from Unlabeled Binary Quantized Samples
Guanyu Wang, Jiang Zhu, Rick S. Blum +4
Signal amplitude estimation and detection from unlabeled quantized binary samples are studied, assuming that the order of the time indexes is completely unknown. First, maximum lik…
Cooperative Simultaneous Localization and Synchronization in Mobile Agent Networks
Bernhard Etzlinger, Florian Meyer, Franz Hlawatsch +2
Cooperative localization in agent networks based on interagent time-of-flight measurements is closely related to synchronization. To leverage this relation, we propose a Bayesian f…
A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors
Florian Meyer, Paolo Braca, Peter Willett +1
We propose a method for tracking an unknown number of targets based on measurements provided by multiple sensors. Our method achieves low computational complexity and excellent sca…
Cooperative Localization for Mobile Networks: A Distributed Belief Propagation - Mean Field Message Passing Algorithm
Burak Çakmak, Daniel N. Urup, Florian Meyer +3
We propose a hybrid message passing method for distributed cooperative localization and tracking of mobile agents. Belief propagation and mean field message passing are employed fo…
Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime
Vincenzo Matta, Paolo Braca, Stefano Marano +1
This work examines the close interplay between cooperation and adaptation for distributed detection schemes over fully decentralized networks. The combined attributes of cooperatio…
Forecasting confined spatiotemporal chaos with genetic algorithms
Cristobal Lopez, Alberto Alvarez, Emilio Hernandez-Garcia
A technique to forecast spatiotemporal time series is presented. it uses a Proper Ortogonal or Karhunen-Loève Decomposition to encode large spatiotemporal data sets in a few time-s…
On the effect of small-scale oceanic variability on topography-generated currents
Alberto Alvarez, Emilio Hernandez-Garcia, Joaquin Tintore
Small-scale oceanic motions, in combination with bottom topography, induce mean large-scale along-isobaths flows. The direction of these mean flows is usually found to be anticyclo…
Forecasting the SST space-time variability of the Alboran Sea with genetic algorithms
Alberto Alvarez, Cristobal Lopez, Margalida Riera +2
We propose a nonlinear ocean forecasting technique based on a combination of genetic algorithms and empirical orthogonal function (EOF) analysis. The method is used to forecast the…