Daniel Borrajo

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SUSANA FERNANDEZ ARREGUIUniversidad Carlos III de MadridVerified email at inf.uc3m.es
Manuela M. VelosoHerbert A. Simon University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ricardo AlerUniversidad Carlos III de MadridVerified email at inf.uc3m.es
Fernando FernándezCatedrático Universidad Carlos III de Madrid (UC3M)Verified email at inf.uc3m.es
Tomás de la RosaUniversidad Carlos III of MadridVerified email at inf.uc3m.es
Carlos Linares LópezProfessor of Computer Science, Universidad Carlos III de MadridVerified email at uc3m.es
Angel García OlayaUniversidad Carlos III de MadridVerified email at inf.uc3m.es
David CamachoUniversidad Politécnica de MadridVerified email at upm.es
Sergio Jiménez CelorrioValencian Research Institute for Artificial Intelligence. Universitat Politècnica de ValènciaVerified email at dsic.upv.es
Eva OnaindiaProfesora de Informática (UPV)Verified email at dsic.upv.es
Maria D. R-MorenoArtificial Intelligence, Universidad de AlcaláVerified email at uah.es
Angelo OddiResearcher, ISTC-CNR, Rome, ItalyVerified email at istc.cnr.it
Sergio NúñezUniversidad Carlos III de MadridVerified email at uc3m.es
Luis CastilloFull Professor of Computer Science, University of GranadaVerified email at decsai.ugr.es
Álvaro TorralbaAalborg UniversityVerified email at cs.aau.dk
Amedeo CestaCNR -- National Research Council of Italy, ISTCVerified email at istc.cnr.it
Pedro IsasiComputer Science, Carlos III of Madrid UniversityVerified email at ia.uc3m.es
Isabel CenamorXplain A. G.Verified email at alumnos.uc3m.es
Ramon Garcia-MartinezProfessor of Software Engineering, National University of LanusVerified email at unla.edu.ar
Araceli SanchisFull professor of computer science, Carlos III of Madrid UniversityVerified email at inf.uc3m.es

Daniel Borrajo

JPMorganChase AI Research

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Artificial Intelligence Automated Planning Heuristic Search


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Integrating planning and learning: The PRODIGY architecture M Veloso, J Carbonell, A Perez, D Borrajo, E Fink, J Blythe Journal of Experimental & Theoretical Artificial Intelligence 7 (1), 81-120, 1995	564	1995
SAMAP: An user-oriented adaptive system for planning tourist visits L Castillo, E Armengol, E Onaindía, L Sebastiá, J González-Boticario, ... Expert Systems with Applications 34 (2), 1318-1332, 2008	197	2008
A review of machine learning for automated planning S Jiménez, T De La Rosa, S Fernández, F Fernández, D Borrajo The Knowledge Engineering Review 27 (4), 433-467, 2012	190	2012
Planning for tourism routes using social networks I Cenamor, T de la Rosa, S Núñez, D Borrajo Expert Systems with Applications 69, 1-9, 2017	168	2017
A dynamic sliding window approach for activity recognition J Ortiz Laguna, AG Olaya, D Borrajo User Modeling, Adaption and Personalization: 19th International Conference …, 2011	152	2011
Lazy incremental learning of control knowledge for efficiently obtaining quality plans D Borrajo, M Veloso Lazy learning, 371-405, 1997	124	1997
An integrated approach of learning, planning, and execution R García-Martínez, D Borrajo Journal of Intelligent and Robotic Systems 29, 47-78, 2000	122	2000
A context vector model for information retrieval H Billhardt, D Borrajo, V Maojo Journal of the American Society for Information Science and Technology 53 (3 …, 2002	118	2002
Intelligent travel planning: a multiagent planning system to solve web problems in the e-tourism domain D Camacho, D Borrajo, JM Molina Autonomous agents and multi-agent systems 4 (4), 387-392, 2001	91	2001
SymBA: A symbolic bidirectional A planner A Torralba, V Alcázar, D Borrajo, P Kissmann, S Edelkamp International Planning Competition, 105-108, 2014	90	2014
Integrating planning and scheduling in workflow domains MD R-Moreno, D Borrajo, A Cesta, A Oddi Expert Systems with Applications 33 (2), 389-406, 2007	87	2007
Using genetic programming to learn and improve control knowledge R Aler, D Borrajo, P Isasi Artificial Intelligence 141 (1-2), 29-56, 2002	83	2002
Combining linear programming and automated planning to solve intermodal transportation problems J García, JE Florez, Á Torralba, D Borrajo, CL López, Á García-Olaya, ... European Journal of Operational Research 227 (1), 216-226, 2013	76	2013
A reinforcement learning algorithm in cooperative multi-robot domains F Fernández, D Borrajo, LE Parker Journal of Intelligent & Robotic Systems 43 (2), 161-174, 2005	66	2005
Progress in case-based planning D Borrajo, A Roubíčková, I Serina ACM Computing Surveys (CSUR) 47 (2), 1-39, 2015	64	2015
GA-stacking: Evolutionary stacked generalization A Ledezma, R Aler, A Sanchis, D Borrajo Intelligent Data Analysis 14 (1), 89-119, 2010	61	2010
Scaling up heuristic planning with relational decision trees T De la Rosa, S Jiménez, R Fuentetaja, D Borrajo Journal of Artificial Intelligence Research 40, 767-813, 2011	57	2011
Counterplanning using Goal Recognition and Landmarks. A Pozanco, E Yolanda, S Fernández, D Borrajo IJCAI, 4808-4814, 2018	52	2018
Revisiting Regression in Planning. V Alcázar, D Borrajo, S Fernández, R Fuentetaja IJCAI, 2254-2260, 2013	52	2013
PELEA: a domain-independent architecture for planning, execution and learning C Guzmán, V Alcázar, D Prior, E Onaindia, D Borrajo, J Fdez-Olivares, ... Proceedings of ICAPS'12 Scheduling and Planning Applications woRKshop (SPARK …, 2012	51	2012

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