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COVID-19 impact on global maritime mobility

Scientific reports, 2021-09, Vol.11 (1), p.18039-18039, Article 18039

2021

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Decision support for the quickest detection of critical COVID-19 phases

Scientific reports, 2021-04, Vol.11 (1), p.8558-8558, Article 8558

2021

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

IEEE transactions on aerospace and electronic systems, 2021-12, Vol.57 (6), p.4329-4346

2021

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Publisher Correction: Decision support for the quickest detection of critical COVID-19 phases

Scientific reports, 2021-07, Vol.11 (1), p.15739-15739, Article 15739

2021

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

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.1385-1399

2020

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

IEEE transactions on aerospace and electronic systems, 2016-10, Vol.52 (5), p.2313-2330

2016

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IEEE_Xplore

Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis

IEEE open journal of signal processing, 2022-01, Vol.3, p.1-31

2022

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

IEEE transactions on signal processing, 2018-12, Vol.66 (24), p.6474-6487

2018

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IEEE_Xplore

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

IEEE access, 2021, Vol.9, p.134384-134401

2021

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

Proceedings of the IEEE, 2022-10, Vol.110 (10), p.1532-1537

2022

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IEEE_Xplore

Bayesian Filtering for Dynamic Anomaly Detection and Tracking

IEEE transactions on aerospace and electronic systems, 2022-06, Vol.58 (3), p.1528-1544

2022

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IEEE_Xplore

Multiple Ornstein-Uhlenbeck Processes for Maritime Traffic Graph Representation

IEEE transactions on aerospace and electronic systems, 2018-10, Vol.54 (5), p.2158-2170

2018

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IEEE_Xplore

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

IEEE transactions on geoscience and remote sensing, 2017-11, Vol.55 (11), p.6533-6546

2017

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IEEE_Xplore

Optimal Opponent Stealth Trajectory Planning Based on an Efficient Optimization Technique

IEEE transactions on signal processing, 2021, Vol.69, p.270-283

2021

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IEEE_Xplore

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

IEEE transactions on geoscience and remote sensing, 2020-02, Vol.58 (2), p.861-880

2020

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IEEE_Xplore

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

IEEE transactions on aerospace and electronic systems, 2023-06, Vol.59 (3), p.1-12

2023

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IEEE_Xplore

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

IEEE signal processing letters, 2016-11, Vol.23 (11), p.1562-1566

2016

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IEEE_Xplore

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

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.8936-8940

2020

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IEEE_Xplore

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

IEEE transactions on intelligent transportation systems, 2022-08, Vol.23 (8), p.13904-13910

2022

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IEEE_Xplore

Unsupervised extraction of maritime patterns of life from Automatic Identification System data

OCEANS 2019 - Marseille, 2019, p.1-5

2019

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Joint Stochastic Prediction of Vessel Kinematics and Destination based on a Maritime Traffic Graph

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2022, p.1-8

2022

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Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.8459-8463

2019

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IEEE_Xplore

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

2021 29th European Signal Processing Conference (EUSIPCO), 2021, p.2025-2029

2021

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

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.8449-8453

2019

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IEEE_Xplore

Maximum Likelihood Estimation in a Parametric Stochastic Trajectory Model

2019 Sensor Signal Processing for Defence Conference (SSPD), 2019, p.1-5

2019

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COVID-19 impact on global maritime mobility

Decision support for the quickest detection of critical COVID-19 phases

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

Publisher Correction: Decision support for the quickest detection of critical COVID-19 phases

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

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

Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis

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

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

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

Bayesian Filtering for Dynamic Anomaly Detection and Tracking

Multiple Ornstein-Uhlenbeck Processes for Maritime Traffic Graph Representation

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

Optimal Opponent Stealth Trajectory Planning Based on an Efficient Optimization Technique

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

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

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

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

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

Unsupervised extraction of maritime patterns of life from Automatic Identification System data

Joint Stochastic Prediction of Vessel Kinematics and Destination based on a Maritime Traffic Graph

Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models

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

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

Maximum Likelihood Estimation in a Parametric Stochastic Trajectory Model

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