Javier Bejar

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Citations	882	315
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Ulises CortesProfessor of Artificial Intelligence, Universitat Politècnica de CatalunyaVerified email at cs.upc.edu
Miquel Sànchez-MarrèAssociate Professor of Computer Science, Universitat Politècnica de Catalunya · BarcelonaTechVerified email at cs.upc.edu
Mario MartinUniversitat Politecnica de CatalunyaVerified email at lsi.upc.edu
francisco javier lafuente SanchoProfessor of chemical engineering, Universitat Autònoma de BarcelonaVerified email at uab.cat
Jaume ManeroUniversitat Politècnica de Catalunya - BARCELONATECHVerified email at upc.edu
Dario Garcia-GasullaSenior Researcher at BSC, Barcelona Supercomputing Center. Lecturer at UPC - BarcelonaTECHVerified email at bsc.es
Sergio Alvarez-NapagaoBarcelona Supercomputing CenterVerified email at bsc.es
Josep M. PujolChief Scientist at Cliqz (https://cliqz.com/)Verified email at cliqz.com
Jordi DelgadoAssociate Professor of Computer Science, Technical University of CataloniaVerified email at cs.upc.edu
Luis Javier Oliva FelipePhD student in AI, Technical University of Catalonia (UPC)Verified email at cs.upc.edu
Ignasi Gómez-SebastiàPHD in Artificial Intelligence, Universitat Politècnica de CatalunyaVerified email at lsi.upc.edu
Javier Vazquez-SalcedaAssociate Professor, Universitat Politecnica de CatalunyaVerified email at cs.upc.edu
Atia CortésRecognised researcherVerified email at bsc.es
Arturo Tejeda-GómezBarcelonaTech Phd StudentVerified email at lsi.upc.edu
Juan Antonio Baeza (ORCID: 0000-00...Full Professor, Dep. Chemical, Biological and Environ. Engineering, Universitat Autònoma BarcelonaVerified email at uab.cat
David GabrielProfessor, Universitat Autònoma de BarcelonaVerified email at uab.cat
Cristian BarrueResearcher, Universitat Politecnica de CatalunyaVerified email at lsi.upc.edu
Emilio RojoProfesor Universitat Internacional de CatalunyaVerified email at uic.es
Karina GibertFull professor at Universitat Politècnica de Catalunya-BarcelonaTechVerified email at upc.edu
Julian PadgetUniversity of BathVerified email at cs.bath.ac.uk

Javier Bejar

Professor of Artificial Intelligence, Universitat Politècnica de Catalunya

Verified email at cs.upc.edu

Artificial Inteligence Machine Learning Data Mining Unsupervised Learning Feature Selection


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Clustering algorithm for determining community structure in large networks JM Pujol, J Béjar, J Delgado Physical Review E 74 (1), 016107, 2006	174	2006
Generality-based conceptual clustering with probabilistic concepts L Talavera, J Béjar IEEE Transactions on pattern analysis and machine intelligence 23 (2), 196-206, 2001	78	2001
Concept formation in WWTP by means of classification techniques: a compared study M Sànchez, U Cortés, J Béjar, JD Grácia, J Lafuente, M Poch Applied Intelligence 7 (2), 147-165, 1997	69	1997
Aprendizaje automático A Moreno, E Armengol, J Béjar Alonso, LA Belanche Muñoz, ... Edicions UPC, 1994	63	1994
K-means vs Mini Batch K-means: a comparison J Béjar Alonso	53	2013
Integrating declarative knowledge in hierarchical clustering tasks L Talavera, J Béjar Advances in Intelligent Data Analysis, 211-222, 1999	52	1999
DAI-DEPUR: an integrated and distributed architecture for wastewater treatment plants supervision M Sànchez, U Cortés, J Lafuente, IR Roda, M Poch Artificial Intelligence in Engineering 10 (3), 275-285, 1996	51	1996
Wind energy forecasting with neural networks: A literature review J Manero, J Béjar, U Cortés Computación y Sistemas 22 (4), 1085-1098, 2018	24	2018
Discovery of Spatio-Temporal Patterns from Location Based Social Networks. J Bejar, S Álvarez-Napagao, D Garcia-Gasulla, I Gómez-Sebastià, L Oliva, ... CCIA, 126-135, 2014	23	2014
Nearest-neighbours for time series JMG Illa, JB Alonso, MS Marré Applied Intelligence 20 (1), 21-35, 2004	23	2004
LINNEO+: Herramienta para la adquisición de conocimiento y generación de reglas de clasificación en dominios poco estructurados J Béjar, U Cortés Actas del III Congreso Iberoamericano de Inteligencia Artificial (IBERAMIA92), 1992	23	1992
“Dust in the wind...”, deep learning application to wind energy time series forecasting J Manero, J Béjar, U Cortés Energies 12 (12), 2385, 2019	21	2019
A distributed control system based on agent architecture for wastewater treatment J Baeza, D Gabriel, J Béjar, J Lafuente Computer‐Aided Civil and Infrastructure Engineering 17 (2), 93-103, 2002	19	2002
Supraspinal modulation of neuronal synchronization by nociceptive stimulation induces an enduring reorganization of dorsal horn neuronal connectivity E Contreras‐Hernández, D Chávez, E Hernández, E Velázquez, P Reyes, ... The Journal of Physiology 596 (9), 1747-1776, 2018	17	2018
A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in … M Martin, E Contreras-Hernández, J Béjar, G Esposito, D Chávez, ... Frontiers in neuroinformatics 9, 21, 2015	15	2015
Social network data analysis for event detection D Garcia-Gasulla, S Alvarez-Napagao, A Tejeda-Gómez, L Oliva-Felipe, ... ECAI 2014, 1009-1010, 2014	13	2014
LINNEO+: A classification methodology for ill-structured domains JB Alonso, M Poch, U Cortés Universitat Politècnica de Catalunya, 1993	13	1993
A visual embedding for the unsupervised extraction of abstract semantics D Garcia-Gasulla, E Ayguadé, J Labarta, J Béjar, U Cortés, T Suzumura, ... Cognitive Systems Research 42, 73-81, 2017	12	2017
Agent strategies on dpb auction tournaments J Béjar, U Cortes Agent-Mediated Electronic Commerce III, 155-172, 2001	11	2001
Markovian analysis of the sequential behavior of the spontaneous spinal cord dorsum potentials induced by acute nociceptive stimulation in the anesthetized cat M Martin, J Béjar, G Esposito, D Chávez, E Contreras-Hernández, ... Frontiers in computational neuroscience 11, 32, 2017	9	2017

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