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Andres El-Fakdi
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2010 – 2019
- 2017
- [c12]Josep Lluís de la Rosa, Andres El-Fakdi, Victor Torres, Xesca Amengual:
Logo Recognition by Consensus for Enabling Blockchain Implementations. CCIA 2017: 257-262 - 2016
- [j3]Andres El-Fakdi, Xavier Cufí, Natàlia Hurtós, Montserrat Correa:
Team-Based Building of a Remotely Operated Underwater Robot, an Innovative Method of Teaching Engineering. J. Intell. Robotic Syst. 81(1): 51-61 (2016) - [c11]Andres El-Fakdi, Josep Lluís de la Rosa:
Open Innovation Platform: Adding Social Machines for Enlightening Discussions. CCIA 2016: 283-288 - 2014
- [j2]Andres El-Fakdi, Francisco Gamero, Joaquím Meléndez, Vincent Auffret, Pascal Haigron:
eXiTCDSS: A framework for a workflow-based CBR for interventional Clinical Decision Support Systems and its application to TAVI. Expert Syst. Appl. 41(2): 284-294 (2014) - 2013
- [j1]Andres El-Fakdi, Marc Carreras:
Two-step gradient-based reinforcement learning for underwater robotics behavior learning. Robotics Auton. Syst. 61(3): 271-282 (2013) - [c10]Andres El-Fakdi, Francisco Gamero, Joaquím Meléndez, Roberto Petite:
eXiTCDSS: A Framework for a Workflow-based CBR for Interventional CDSS - Application to Transcatheter Aortic Valve Implantation (TAVI). HEALTHINF 2013: 201-206 - 2012
- [c9]Andres El-Fakdi, Joaquím Meléndez, Roberto Petite:
A Proposal of a Workflow-based CBR for Interventional CDSS - Application to Transcatheter Aortic Valve Implantation (TAVI). HEALTHINF 2012: 201-206 - 2011
- [b1]Andres El-Fakdi:
Gradient-based reinforcement learning techniques for underwater robotics behavior learning. University of Girona, Spain, 2011 - 2010
- [c8]Andres El-Fakdi, Marc Carreras, Enric Galceran:
Two steps natural actor critic learning for underwater cable tracking. ICRA 2010: 2267-2272 - [c7]Narcís Palomeras, Pere Ridao, Carlos Silvestre, Andres El-Fakdi:
Multiple vehicles mission coordination using Petri nets. ICRA 2010: 3531-3536
2000 – 2009
- 2008
- [c6]Andres El-Fakdi, Marc Carreras, Javier Antich, Alberto Ortiz:
Learning by Example - Reinforcement Learning Techniques for Real Autonomous Underwater Cable Tracking. ICINCO-RA (1) 2008: 61-68 - [c5]Andres El-Fakdi, Marc Carreras:
Policy gradient based Reinforcement Learning for real autonomous underwater cable tracking. IROS 2008: 3635-3640 - 2006
- [c4]Andres El-Fakdi, Marc Carreras, Pere Ridao:
Towards Direct Policy Search Reinforcement Learning for Robot Control. IROS 2006: 3178-3183 - 2005
- [c3]Andres El-Fakdi, Marc Carreras, Narcís Palomeras:
Direct Policy Search Reinforcement Learning for Robot Control. CCIA 2005: 9-16 - [c2]Andres El-Fakdi, Marc Carreras, Pere Ridao:
Direct gradient-based reinforcement learning for robot behavior learning. ICINCO 2005: 225-231 - 2003
- [c1]Marc Carreras, Pere Ridao, Andres El-Fakdi:
Semi-online neural-Q_leaming for real-time robot learning. IROS 2003: 662-667
Coauthor Index
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