Nicola Forti

According to our database, Nicola Forti authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Multi-Sensor Marginalized Particle Filtering for Dynamic Source Estimation.

Nicola Forti, Giorgio Battistelli, Luigi Chisci

IEEE Control. Syst. Lett., 2024

Adaptive Resilience in Navigation: Multi-Spoofing Attacks Defence with Statistical Hypothesis Testing and Directional Receivers.

Antonello Venturino, Enrica d'Afflisio, Nicola Forti, Paolo Braca, Peter Willett, Moe Z. Win

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

2023

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

Samuele Capobianco, Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett

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

Model-based Deep Learning for Maneuvering Target Tracking.

Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett

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

2022

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

Nicola Forti, Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Peter Willett, Sandro Carniel

IEEE Trans. Intell. Transp. Syst., 2022

Bayesian Filtering for Dynamic Anomaly Detection and Tracking.

Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett

IEEE Trans. Aerosp. Electron. Syst., 2022

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

Nicola Forti, Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Sandro Carniel, Peter Willett

Proc. IEEE, 2022

Unknown source in spatially distributed systems: Identifiability analysis and estimation.

Nicola Forti, Lin Gao, Giorgio Battistelli, Luigi Chisci

Autom., 2022

2021

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

Samuele Capobianco, Leonardo Maria Millefiori, Nicola Forti, Paolo Braca, Peter Willett

IEEE Trans. Aerosp. Electron. Syst., 2021

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

Giovanni Soldi, Nicola Forti, Domenico Gaglione, Paolo Braca, Leonardo Maria Millefiori, Stefano Maranò, Peter K. Willett, Krishna R. Pattipati

IEEE Commun. Mag., 2021

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

Samuele Capobianco, Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett

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

Dynamic Source Localization via Finite-Element Underwater Acoustic Field Estimation.

Graziano A. Manduzio, Nicola Forti, Roberto Sabatini, Paolo Braca, Giorgio Battistelli, Luigi Chisci

Proceedings of the 29th European Signal Processing Conference, 2021

2020

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

Domenico Gaglione, Paolo Braca, Leonardo Maria Millefiori, Giovanni Soldi, Nicola Forti, Stefano Maranò, Peter K. Willett, Krishna R. Pattipati

IEEE Access, 2020

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

Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

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

Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Distributed Joint Attack Detection and Secure State Estimation.

Nicola Forti, Giorgio Battistelli, Luigi Chisci, Suqi Li, Bailu Wang, Bruno Sinopoli

IEEE Trans. Signal Inf. Process. over Networks, 2018

MAP moving horizon estimation for threshold measurements with application to field monitoring.

Giorgio Battistelli, Luigi Chisci, Nicola Forti, Stefano Gherardini

CoRR, 2018

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

Nicola Forti, Leonardo Maria Millefiori, Paolo Braca

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

2017

Distributed Finite-Element Kalman Filter for Field Estimation.

Giorgio Battistelli, Luigi Chisci, Nicola Forti, Giuseppe Pelosi, Stefano Selleri

IEEE Trans. Autom. Control., 2017

Cyber Meets Control: A Novel Federated Approach for Resilient CPS Leveraging Real Cyber Threat Intelligence.

Elias Bou-Harb, Walter Lucia, Nicola Forti, Sean Weerakkody, Nasir Ghani, Bruno Sinopoli

IEEE Commun. Mag., 2017

Worst-case analysis of joint attack detection and resilient state estimation.

Nicola Forti, Giorgio Battistelli, Luigi Chisci, Bruno Sinopoli

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Joint attack detection and secure state estimation of cyber-physical systems.

Nicola Forti, Giorgio Battistelli, Luigi Chisci, Bruno Sinopoli

CoRR, 2016

Decentralized consensus finite-element Kalman filter for field estimation.

Giorgio Battistelli, Luigi Chisci, Nicola Forti, Stefano Selleri, Giuseppe Pelosi

CoRR, 2016

A Bayesian approach to joint attack detection and resilient state estimation.

Nicola Forti, Giorgio Battistelli, Luigi Chisci, Bruno Sinopoli

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

MAP Moving Horizon state estimation with binary measurements.

Giorgio Battistelli, Luigi Chisci, Nicola Forti, Stefano Gherardini

Proceedings of the 2016 American Control Conference, 2016

2015

Distributed finite element Kalman filter.

Giorgio Battistelli, Luigi Chisci, Nicola Forti, Giuseppe Pelosi, Stefano Selleri

Proceedings of the 14th European Control Conference, 2015

Point source estimation via finite element multiple-model Kalman filtering.

Giorgio Battistelli, Luigi Chisci, Nicola Forti, Giuseppe Pelosi, Stefano Selleri

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Distributed peer-to-peer multitarget tracking with association-based track fusion.

Giorgio Battistelli, Luigi Chisci, Claudio Fantacci, Nicola Forti, Alfonso Farina, Antonio Graziano

Proceedings of the 17th International Conference on Information Fusion, 2014