The Bayesian unlucky broker. - Stefano Maranò 001; Vincenzo Matta; Fabio Mazzarella (EUSIPCO, 2010)

Refining decisions after losing data: the unlucky broker problem. - Stefano Maranò 001; Vincenzo Matta; Fabio Mazzarella (IEEE Trans. Signal Process., 2010)

Discovering vessel activities at sea using AIS data: Mapping of fishing footprints. - Fabio Mazzarella; Michele Vespe; Dimitrios Damalas; Giacomo Osio (FUSION, 2014)

Knowledge-based vessel position prediction using historical AIS data. - Fabio Mazzarella; Virginia Fernandez Arguedas; Michele Vespe (SDF, 2015)

SAR Ship Detection and Self-Reporting Data Fusion Based on Traffic Knowledge. - Fabio Mazzarella; Michele Vespe; Carlos Santamaria (IEEE Geosci. Remote. Sens. Lett., 2015)

AIS event-based knowledge discovery for Maritime Situational Awareness. - Marlene Alvarez; Virginia Fernandez Arguedas; Vincenzo Gammieri; Fabio Mazzarella; Michele Vespe; Giuseppe Aulicino; Antonio Vollero (FUSION, 2016)

AIS reception characterisation for AIS on/off anomaly detection. - Fabio Mazzarella; Michele Vespe; Dario Tarchi; Giuseppe Aulicino; Antonio Vollero (FUSION, 2016)

Mining Vessel Tracking Data for Maritime Domain Applications. - Alfredo Alessandrini; Marlene Alvarez; Harm Greidanus; Vincenzo Gammieri; Virginia Fernandez Arguedas; Fabio Mazzarella; Carlos Santamaria; Mattia Stasolla; Dario Tarchi; Michele Vespe (ICDM Workshops, 2016)

Mapping EU fishing activities using ship tracking data. - Michele Vespe; Maurizio Gibin; Alfredo Alessandrini; Fabrizio Natale; Fabio Mazzarella; Giacomo C. Osio (CoRR, 2016)

A novel anomaly detection approach to identify intentional AIS on-off switching. - Fabio Mazzarella; Michele Vespe; Alfredo Alessandrini; Dario Tarchi; Giuseppe Aulicino; Antonio Vollero (Expert Syst. Appl., 2017)

Estimated Time of Arrival Using Historical Vessel Tracking Data. - Alfredo Alessandrini; Fabio Mazzarella; Michele Vespe (IEEE Trans. Intell. Transp. Syst., 2019)