Javier Bejar
Javier Bejar
Professor of Artificial Intelligence, Universitat Politècnica de Catalunya
Dirección de correo verificada de cs.upc.edu
Título
Citado por
Citado por
Año
Clustering algorithm for determining community structure in large networks
JM Pujol, J Béjar, J Delgado
Physical Review E 74 (1), 016107, 2006
1692006
Generality-based conceptual clustering with probabilistic concepts
L Talavera, J Béjar
IEEE Transactions on pattern analysis and machine intelligence 23 (2), 196-206, 2001
762001
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
681997
Integrating declarative knowledge in hierarchical clustering tasks
L Talavera, J Béjar
Advances in Intelligent Data Analysis, 211-222, 1999
511999
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
501996
Nearest-neighbours for time series
JMG Illa, JB Alonso, MS Marré
Applied Intelligence 20 (1), 21-35, 2004
242004
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
231992
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
172002
Wind energy forecasting with neural networks: a literature review
J Manero, J Béjar, U Cortés
Computación y Sistemas 22 (4), 1085-1098, 2018
162018
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
162014
Social network data analysis for event detection
D Garcia-Gasulla, S Alvarez-Napagao, A Tejeda-Gómez, L Oliva-Felipe, ...
ECAI 2014, 1009-1010, 2014
132014
“Dust in the wind...”, deep learning application to wind energy time series forecasting
J Manero, J Béjar, U Cortés
Energies 12 (12), 2385, 2019
122019
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
122017
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
102015
Agent strategies on dpb auction tournaments
J Béjar, U Cortes
Agent-Mediated Electronic Commerce III, 155-172, 2001
102001
LINNEO+: A classification methodology for ill-structured domains
JB Alonso, M Poch, U Cortés
Universitat Politècnica de Catalunya, 1993
101993
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
92018
Experiments with domain knowledge in knowledge discovery
J Béjar, U Cortés, R Sanguesa, M Poch
91997
Extracting visual patterns from deep learning representations
D Garcia-Gasulla, J Béjar, U Cortés, E Ayguadé, J Labarta
arXiv preprint arXiv:1507.08818, 2015
82015
Reflective reasoning in a case-based reasoning agent
M Sànchez-Marrè, U Cortés, J Béjar, I Roda, M Poch
Collaboration between Human and Artificial Societies, 142-158, 1999
81999
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20