Leonardo Maria Millefiori

Proceedings of the IGARSS 2024, 2024

Tracking of Multiple Spawning Targets with Heterogeneous Sensors for Seabed-To-Space Situational Awareness.

[BibT_eX]

[DOI]

Moe Z. Win

Proceedings of the IEEE International Conference on Acoustics, 2024

MARITRAC: Maritime trajectory classification using object instance segmentation with model-based generated data augmentation.

[BibT_eX]

[DOI]

Marco Guerriero

Proceedings of the 27th International Conference on Information Fusion, 2024

Dark-VADER: Detection of Anomalous AIS Message Delays for Maritime Situational Awareness.

[BibT_eX]

[DOI]

Giorgio Ioannou

Alfredo Renga

Proceedings of the 27th International Conference on Information Fusion, 2024

Sequential Hypothesis Testing Based on Machine Learning.

[BibT_eX]

[DOI]

Ryan Harvey

Proceedings of the 27th International Conference on Information Fusion, 2024

Detecting the Spatiotemporal Characteristics of the Supply-chain Disruption and Estimating its Short Term Effects.

[BibT_eX]

[DOI]

Giannis Spiliopoulos

Cesar Ducruet

Dimitris Zissis

Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024

2023

Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction With Uncertainty Estimation.

[BibT_eX]

[DOI]

Samuele Capobianco

IEEE Trans. Aerosp. Electron. Syst., June, 2023

Large Deviations for Classification Performance Analysis of Machine Learning Systems.

[BibT_eX]

[DOI]

Augusto Aubry

Antonio De Maio

CoRR, 2023

Model-based Deep Learning for Maneuvering Target Tracking.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Information Fusion, 2023

Experimental Corroboration of Trained Classification Performance Predictions.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Maritime Anomaly Detection in a Real-World Scenario: Ever Given Grounding in the Suez Canal.

[BibT_eX]

[DOI]

Sandro Carniel

IEEE Trans. Intell. Transp. Syst., 2022

Bayesian Filtering for Dynamic Anomaly Detection and Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2022

Next-Gen Intelligent Situational Awareness Systems for Maritime Surveillance and Autonomous Navigation [Point of View].

[BibT_eX]

[DOI]

Sandro Carniel

Proc. IEEE, 2022

Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Optimal Opponent Stealth Trajectory Planning Based on an Efficient Optimization Technique.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks.

[BibT_eX]

[DOI]

Samuele Capobianco

IEEE Trans. Aerosp. Electron. Syst., 2021

Quickest Detection of COVID-19 Pandemic Onset.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

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

[BibT_eX]

[DOI]

Peter K. Willett

IEEE Commun. Mag., 2021

Application of Hidden Markov Models to Analyze, Group and Visualize Spatio-Temporal COVID-19 Data.

[BibT_eX]

[DOI]

IEEE Access, 2021

Sensors Localization and Target Tracking in Underwater Environment via Belief Propagation.

[BibT_eX]

[DOI]

Mattia Brambilla

Giovanni Soldi

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Uncertainty-Aware Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction.

[BibT_eX]

[DOI]

Samuele Capobianco

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

MAST: A Quickest Detection Procedure for COVID-19 Epidemiological Data to Trigger Strategic Decisions.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Multi-Class Random Matrix Filtering for Adaptive Learning.

[BibT_eX]

[DOI]

Augusto Aubry

Antonio De Maio

IEEE Trans. Signal Process., 2020

Analytical Models for the Electromagnetic Scattering From Isolated Targets in Bistatic Configuration: Geometrical Optics Solution.

[BibT_eX]

[DOI]

Walter Fuscaldo

IEEE Trans. Geosci. Remote. Sens., 2020

Simulation-Based Feasibility Analysis of Ship Detection Using GNSS-R Delay-Doppler Maps.

[BibT_eX]

[DOI]

Tiziana Beltramonte

Maurizio di Bisceglie

Carmela Galdi

Antonio Iodice

Daniele Riccio

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Adaptive Bayesian Learning and Forecasting of Epidemic Evolution - Data Analysis of the COVID-19 Outbreak.

[BibT_eX]

[DOI]

IEEE Access, 2020

Prediction oof Vessel Trajectories From AIS Data Via Sequence-To-Sequence Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Ship Detection using GNSS-R delay-Doppler Maps via simulation tools.

[BibT_eX]

[DOI]

Maurizio di Bisceglie

Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019

Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models.

[BibT_eX]

[DOI]

Murat Üney

Proceedings of the IEEE International Conference on Acoustics, 2019

Anomaly Detection and Tracking Based on Mean-Reverting Processes with Unknown Parameters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Detecting Anomalous Deviations From Standard Maritime Routes Using the Ornstein-Uhlenbeck Process.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Multiple Ornstein-Uhlenbeck Processes for Maritime Traffic Graph Representation.

[BibT_eX]

[DOI]

Pasquale Coscia

Francesco A. N. Palmieri

IEEE Trans. Aerosp. Electron. Syst., 2018

Maritime Surveillance Using Spaceborne GNSS-Reflectometry: The Role of the Scattering Configuration and Receiving Polarization Channel.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

Spaceborne GNSS-Reflectometry for Ship-Detection Applications: Impact of Acquisition Geometry and Polarization.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Electromagnetic Modeling of Ships in Maritime Scenarios: Geometrical Optics Approximation.

[BibT_eX]

[DOI]

Walter Fuscaldo

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Maritime Anomaly Detection Based on Mean-Reverting Stochastic Processes Applied to a Real-World Scenario.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Information Fusion, 2018

Prediction of Rendezvous in Maritime Situational Awareness.

[BibT_eX]

[DOI]

Murat Uney

Proceedings of the 21st International Conference on Information Fusion, 2018

Hybrid Bernoulli Filtering for Detection and Tracking of Anomalous Path Deviations.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Information Fusion, 2018

Unsupervised Maritime Traffic Graph Learning with Mean-Reverting Stochastic Processes.

[BibT_eX]

[DOI]

Pasquale Coscia

Francesco A. N. Palmieri

Proceedings of the 21st International Conference on Information Fusion, 2018

Bayesian Track-to-Graph Association for Maritime Traffic Monitoring.

[BibT_eX]

[DOI]

Raffaele Grasso

Proceedings of the 26th European Signal Processing Conference, 2018

Bayesian Multi-Class Covariance Matrix Filtering for Adaptive Environment Learning.

[BibT_eX]

[DOI]

Augusto Aubry

Antonio De Maio

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Performance Assessment of Vessel Dynamic Models for Long-Term Prediction Using Heterogeneous Data.

[BibT_eX]

[DOI]

Gemine Vivone

IEEE Trans. Geosci. Remote. Sens., 2017

Scalable distributed change detection and its application to maritime traffic.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Modeling vessel kinematics using a stochastic mean-reverting process for long-term prediction.

[BibT_eX]

[DOI]

Karna Bryan

IEEE Trans. Aerosp. Electron. Syst., 2016

Consistent Estimation of Randomly Sampled Ornstein-Uhlenbeck Process Long-Run Mean for Long-Term Target State Prediction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Scalable and Distributed Sea Port Operational Areas Estimation from AIS Data.

[BibT_eX]

[DOI]

Dimitrios Zissis

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Long-term vessel kinematics prediction exploiting mean-reverting processes.

[BibT_eX]

[DOI]

Karna Bryan

Proceedings of the 19th International Conference on Information Fusion, 2016

The Mixed Ornstein-Uhlenbeck Process and context exploitation in multi-target tracking.

[BibT_eX]

[DOI]

Stefano Coraluppi

Craig Carthel

Proceedings of the 19th International Conference on Information Fusion, 2016

A distributed approach to estimating sea port operational regions from lots of AIS data.

[BibT_eX]

[DOI]

Dimitrios Zissis

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Automated port traffic statistics: From raw data to visualisation.

[BibT_eX]

[DOI]

Antonio Davoli

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Adaptive filtering of imprecisely time-stamped measurements with application to AIS networks.

[BibT_eX]

[DOI]

Karna Bryan

Proceedings of the 18th International Conference on Information Fusion, 2015

A document-based data model for large scale computational maritime situational awareness.

[BibT_eX]

[DOI]