Javier Béjar

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 21

Top Topics

Data Mining Methodology

Top Venues

Frontiers Neuroinformatics

Cogn. Syst. Res.

Publications

José Fernando Núñez, Jamie Arjona, Adrián Tormos, Darío García, Javier Béjar
Applying Generative Models and Transfer Learning to Physiological Data Classification. CCIA (2023)
Javier Béjar, Raquel Pérez, Armand Vilalta, Sergio Álvarez-Napagao, Dario Garcia-Gasulla
Large scale prediction of sick leave duration with nonlinear survival analysis algorithms. Expert Syst. Appl. 198 (2022)
Jaume Manero, Javier Béjar
Forecastability Measures that Describe the Complexity of a Site for Deep Learning Wind Predictions. Supercomput. Front. Innov. 8 (1) (2021)
Jaume Manero, Javier Béjar, Ulises Cortés
Wind Prediction Using Deep Learning and High Performance Computing. CARLA (2021)
Jaume Manero, Javier Béjar, Ulises Cortés
Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting. CCIA (2018)
Maribel Ojeda, Atia Cortés, Javier Béjar, Ulises Cortés
Automatic classification of gait patterns using a smart rollator and the BOSS model. PETRA (2018)
Jaume Manero, Javier Béjar, Ulises Cortés
Wind Energy Forecasting with Neural Networks: A Literature Review. Computación y Sistemas 22 (4) (2018)
Jaume Manero, Javier Béjar, Ulises Cortés
Predicting Wind Energy Generation with Recurrent Neural Networks. IDEAL (1) (2018)
Atia Cortés, Maribel Ojeda, Javier Béjar, Antonio B. Martínez
An Approach to Gait Analysis from Human-Rollator Interaction: The i-Walker. CCIA (2018)
Mario Martín, Javier Béjar, Gennaro Esposito, Neus Català, Ulises Cortés, Ferran Viñas, Josep Tarragó, Emilio Rojo, Rafal Nowak
Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia. Pattern Recognit. Lett. 93 (2017)
Mario Martín, Javier Béjar, Gennaro Esposito, Diógenes Chávez, Enrique Contreras, Silvio Glusman, Ulises Cortés, Pablo Rudomín
Markovian Analysis of the Sequential Behavior of the Spontaneous Spinal Cord Dorsum Potentials Induced by Acute Nociceptive Stimulation in the Anesthetized Cat. Frontiers Comput. Neurosci. 11 (2017)
Daniel Gibert, Javier Béjar, Carles Mateu, Jordi Planes, Daniel Solis, Ramon Vicens
Convolutional Neural Networks for Classification of Malware Assembly Code. CCIA (2017)
Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Javier Béjar, Ulises Cortés, Toyotaro Suzumura, R. Chen
A visual embedding for the unsupervised extraction of abstract semantics. Cogn. Syst. Res. 42 (2017)
Javier Béjar, Sergio Álvarez-Napagao, Dario Garcia-Gasulla, Ignasi Gómez-Sebastià, Luis Oliva, Arturo Tejeda-Gómez, Javier Vázquez-Salceda
Discovery of spatio-temporal patterns from location-based social networks. J. Exp. Theor. Artif. Intell. 28 (1-2) (2016)
Dario Garcia-Gasulla, Jonathan Moreno, Raúl Ramos-Pollán, Romel Casadiegos Barrios, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta, Toyotaro Suzumura
On the Representativeness of Convolutional Neural Networks Layers. CCIA (2016)
Atia Cortés, Javier Béjar, Cristian Barrué, Antonio B. Martínez, Ulises Cortés
Assessing Falling Risk in Elderly with the Ten Meter Walking Test: A Machine Learning Approach. CCIA (2016)
Atia Cortés, Antonio B. Martínez, Javier Béjar
Spatio-Temporal Gait Analysis Based on Human-Smart Rollator Interaction. REHAB (Revised Selected Papers) (2016)
Atia Cortés, Antonio B. Martínez, Javier Béjar
Using the i-walker as a measurement tool for walking behaviour analysis. REHAB (2016)
Mario Martín, Javier Béjar, Gennaro Esposito, Neus Català, Ulises Cortés, Ferran Viñas, Josep Tarragó, Emilio Rojo, Rafal Nowak
Using Kernel Alignment for Feature Selection in Schizophrenia Diagnostic. CCIA (2015)
Dario Garcia-Gasulla, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta
Extracting Visual Patterns from Deep Learning Representations. CoRR (2015)
Javier Béjar, Mario Martín, Gennaro Esposito, Enrique Contreras, Diógenes Chávez, Ulises Cortés, Pablo Rudomín
A Data Mining Methodology for Event Analysis in Neurophysiological Signals. CCIA (2015)
Javier Béjar, Sergio Álvarez-Napagao, Dario Garcia-Gasulla, Ignasi Gómez-Sebastià, Luis Oliva, Arturo Tejeda-Gómez, Javier Vázquez-Salceda
Discovery of Spatio-Temporal Patterns from Location Based Social Networks. CCIA (2014)
Mario Martín, Enrique Contreras, Javier Béjar, Gennaro Esposito, Diógenes Chávez, Silvio Glusman, Ulises Cortés, Pablo Rudomín
A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation. Frontiers Neuroinformatics 9 (2014)
Dario Garcia-Gasulla, Sergio Álvarez-Napagao, Arturo Tejeda-Gómez, Luis Oliva Felipe, Ignasi Gómez-Sebastià, Javier Béjar, Javier Vázquez-Salceda
Social network data analysis for event detection. ECAI (2014)
Juan Manuel Gimeno Illa, Javier Béjar, Miquel Sànchez-Marrè
Nearest-Neighbours for Time Series. Appl. Intell. 20 (1) (2004)
Luis Talavera, Javier Béjar
Generality-Based Conceptual Clustering with Probabilistic Concepts. IEEE Trans. Pattern Anal. Mach. Intell. 23 (2) (2001)
Javier Béjar
Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning. ECML (2000)
Javier Béjar, Ulises Cortés
Agent Strategies on DPB Auction Tournaments. AMEC (2000)
Javier Béjar, Juan A. Rodríguez-Aguilar
To Bid or Not To Bid Agent Strategies in Electronic Auction Games. AMEC (2000)
Miquel Sànchez-Marrè, Ulises Cortés, Javier Béjar, Ignasi R.-Roda, Manel Poch
Reflective Reasoning in a Case-Based Reasoning Agent. Collaboration between Human and Artificial Societies (1999)
Luis Talavera, Javier Béjar
Integrating Declarative Knowledge in Hierarchical Clustering Tasks. IDA (1999)
Luis Talavera, Javier Béjar
Efficient Construction of Comprehensible Hierarchical Clusterings. PKDD (1998)
Miquel Sànchez-Marrè, Ulises Cortés, Javier Béjar, Joan De Grácia, Javier Lafuente, Manel Poch
Concept Formation in WWTP by Means of Classification Techniques: A Compared Study. Appl. Intell. 7 (2) (1997)