Dr. Jesus Garcia
Computer Science and Engineering, Universidad Carlos III de Madrid, Leganés, Spain
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Representative Publications
View All Publications1 September 2015 in Information Fusion
Journal Article
This survey aims to provide a comprehensive status of recent and current research on context-based Information Fusion (IF) systems, tracing back the roots of the original thinking behind the development of the concept of "context". It shows how its fortune in the distributed computing world eventually permeated in the world of IF, discussing the current strategies and techniques, and hinting possible future trends. IF processes can represent context at different levels (structural and physical constraints of the scenario, a priori known operational rules between entities and environment, dynamic relationships modelled to interpret the system output, etc.). In addition to the survey, several novel context exploitation dynamics and architectural aspects peculiar to the fusion domain are presented and discussed.This work was partially supported by ONRG Grant N62909-14-1-N061, by Projects MINECO TEC2012-37832-C02-01 and CICYT TEC2011-28626-C02-02, and by Mobility Grants Program of Fundación Caja Madrid 2011.Publicad
1 June 2011 in Expert Systems with Applications
Journal Article
Juan Gómez RomeroMPMiguel A. Patricio
Miguel A. Patricio
Jesus Garcia
Jose M. MolinaJournal Article
DPDavid Sánchez Pedroche
David Sánchez PedrocheDADaniel Amigo
Daniel AmigoJesus GarciaJose M. MolinaThis paper proposes a data preparation process for managing real-world kinematic data and detecting fishing vessels. The solution is a binary classification that classifies ship trajectories into either fishing or non-fishing ships. The data used are characterized by the typical problems found in classic data mining applications using real-world data, such as noise and inconsistencies. The two classes are also clearly unbalanced in the data, a problem which is addressed using algorithms that resample the instances. For classification, a series of features are extracted from spatiotemporal data that represent the trajectories of the ships, available from sequences of Automatic Identification System (AIS) reports. These features are proposed for the modelling of ship behavior but, because they do not contain context-related information, the classification can be applied in other scenarios. Experimentation shows that the proposed data preparation process is useful for the presented classification problem. In addition, positive results are obtained using minimal information.
1 November 2016 in Information Sciences
Journal Article
LMLuis Martí
Luis MartíJesus GarciaABAntonio Berlanga
Antonio Berlanga
Jose M. Molina1 July 2010 in Information Fusion
Journal Article
FCFederico Castanedo
Federico Castanedo
Jesus Garcia
Miguel PatricioJose M. Molina18 September 2011 in Personal and Ubiquitous Computing
Journal Article
Juan Gómez RomeroMSMiguel Ángel Serrano
Miguel Ángel SerranoMiguel PatricioJesus GarciaJose M. MolinaAbout Me
Prof. Dr. Jesús García Herrero is a full professor of Computer Science and Artificial Intelligence at the Department of Computer Science, Carlos III University of Madrid, Spain. He holds a PhD in Telecommunications Engineering from the Polytechnic University of Madrid. His lines of research are artificial intelligence, data and information fusion, artificial vision, and autonomous vehicles. He is the coordinator of the Applied Artificial Intelligence Group at the Carlos III University of Madrid, has been Deputy Director of the Polytechnic School at the Colmenarejo campus (2005-2008), Director of the Antonio Machado Student Residence (2008-2010), Deputy Vice-Chancellor of the Colmenarejo campus (2019-2023) and Director of the Postgraduate School of Engineering and Basic Sciences since 2023. He has belonged to different committees in international organizations: President of the IEEEE Spanish Chapter in Electronic and Aerospace Technologies in 2013-2018, Spanish representative in working groups in the NATO-STO society since 2011, and member of the steering committee of the International Information Fusion Society in the period 2014-2017.