Fabio Mazzarella

11 papers C 3Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2019 J jnl
Estimated Time of Arrival Using Historical Vessel Tracking Data.
IEEE Trans. Intell. Transp. Syst.
Alfredo Alessandrini, Fabio Mazzarella, Michele Vespe
2017 J jnl
A novel anomaly detection approach to identify intentional AIS on-off switching.
Expert Syst. Appl.
Fabio Mazzarella, Michele Vespe, Alfredo Alessandrini, Dario Tarchi, Giuseppe Aulicino, Antonio Vollero
2016 C conf
AIS event-based knowledge discovery for Maritime Situational Awareness.
FUSION
Marlene Alvarez, Virginia Fernandez Arguedas, Vincenzo Gammieri, Fabio Mazzarella, Michele Vespe, Giuseppe Aulicino, Antonio Vollero
2016 C conf
AIS reception characterisation for AIS on/off anomaly detection.
FUSION
Fabio Mazzarella, Michele Vespe, Dario Tarchi, Giuseppe Aulicino, Antonio Vollero
2016 J jnl
Mapping EU fishing activities using ship tracking data.
CoRR
Michele Vespe, Maurizio Gibin, Alfredo Alessandrini, Fabrizio Natale, Fabio Mazzarella, Giacomo C. Osio
2016 — conf
Mining Vessel Tracking Data for Maritime Domain Applications.
ICDM Workshops
Alfredo Alessandrini, Marlene Alvarez, Harm Greidanus, Vincenzo Gammieri, Virginia Fernandez Arguedas, Fabio Mazzarella, Carlos Santamaria, Mattia Stasolla, Dario Tarchi, Michele Vespe
2015 — conf
Knowledge-based vessel position prediction using historical AIS data.
SDF
Fabio Mazzarella, Virginia Fernandez Arguedas, Michele Vespe
2015 J jnl
SAR Ship Detection and Self-Reporting Data Fusion Based on Traffic Knowledge.
IEEE Geosci. Remote. Sens. Lett.
Fabio Mazzarella, Michele Vespe, Carlos Santamaria
2014 C conf
Discovering vessel activities at sea using AIS data: Mapping of fishing footprints.
FUSION
Fabio Mazzarella, Michele Vespe, Dimitrios Damalas, Giacomo Osio
2010 J jnl
Refining decisions after losing data: the unlucky broker problem.
IEEE Trans. Signal Process.
Stefano Maranò, Vincenzo Matta, Fabio Mazzarella
2010 — conf
The Bayesian unlucky broker.
EUSIPCO
Stefano Maranò, Vincenzo Matta, Fabio Mazzarella