Javier Béjar

According to our database, Javier Béjar authored at least 33 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generative Models for Data Augmentation on Inertial Measurement Units Data Classification.

Blanca Llauradó, José Fernando Núñez, Axel Romero, Jamie Arjona, Javier Béjar, Jorge Andrés Gómez-García, Diego Torricelli

Proceedings of the Artificial Intelligence Research and Development, 2024

2023

Applying Generative Models and Transfer Learning to Physiological Data Classification.

José Fernando Núñez, Jamie Arjona, Adrián Tormos, Darío García, Javier Béjar

Proceedings of the Artificial Intelligence Research and Development, 2023

2022

Large scale prediction of sick leave duration with nonlinear survival analysis algorithms.

Javier Béjar, Raquel Pérez, Armand Vilalta, Sergio Álvarez-Napagao, Dario Garcia-Gasulla

Expert Syst. Appl., 2022

2021

Forecastability Measures that Describe the Complexity of a Site for Deep Learning Wind Predictions.

Jaume Manero, Javier Béjar

Supercomput. Front. Innov., 2021

Wind Prediction Using Deep Learning and High Performance Computing.

Jaume Manero, Javier Béjar, Ulises Cortés

Proceedings of the High Performance Computing - 8th Latin American Conference, 2021

2018

Wind Energy Forecasting with Neural Networks: A Literature Review.

Jaume Manero, Javier Béjar, Ulises Cortés

Computación y Sistemas, 2018

Automatic classification of gait patterns using a smart rollator and the BOSS model.

Maribel Ojeda, Atia Cortés, Javier Béjar, Ulises Cortés

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

Predicting Wind Energy Generation with Recurrent Neural Networks.

Jaume Manero, Javier Béjar, Ulises Cortés

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting.

Jaume Manero, Javier Béjar, Ulises Cortés

Proceedings of the Artificial Intelligence Research and Development, 2018

An Approach to Gait Analysis from Human-Rollator Interaction: The i-Walker.

Atia Cortés, Maribel Ojeda, Javier Béjar, Antonio B. Martínez

Proceedings of the Artificial Intelligence Research and Development, 2018

2017

Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia.

Mario Martín, Javier Béjar, Gennaro Esposito, Neus Català, Ulises Cortés, Ferran Viñas, Josep Tarragó, Emilio Rojo, Rafal Nowak

Pattern Recognit. Lett., 2017

Markovian Analysis of the Sequential Behavior of the Spontaneous Spinal Cord Dorsum Potentials Induced by Acute Nociceptive Stimulation in the Anesthetized Cat.

Mario Martín, Javier Béjar, Gennaro Esposito, Diógenes Chávez, Enrique Contreras, Silvio Glusman, Ulises Cortés, Pablo Rudomín

Frontiers Comput. Neurosci., 2017

A visual embedding for the unsupervised extraction of abstract semantics.

Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Javier Béjar, Ulises Cortés, Toyotaro Suzumura, R. Chen

Cogn. Syst. Res., 2017

Convolutional Neural Networks for Classification of Malware Assembly Code.

Daniel Gibert, Javier Béjar, Carles Mateu, Jordi Planes, Daniel Solis, Ramon Vicens

Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2016

Discovery of spatio-temporal patterns from location-based social networks.

Javier Béjar, Sergio Álvarez-Napagao, Dario Garcia-Gasulla, Ignasi Gómez-Sebastià, Luis Oliva, Arturo Tejeda-Gómez, Javier Vázquez-Salceda

J. Exp. Theor. Artif. Intell., 2016

Spatio-Temporal Gait Analysis Based on Human-Smart Rollator Interaction.

Atia Cortés, Antonio B. Martínez, Javier Béjar

Proceedings of the New Technologies to Improve Patient Rehabilitation - 4th Workshop, 2016

Using the i-walker as a measurement tool for walking behaviour analysis.

Atia Cortés, Antonio B. Martínez, Javier Béjar

Proceedings of the 4th Workshop on ICTs for improving Patients Rehabilitation Research Techniques, 2016

On the Representativeness of Convolutional Neural Networks Layers.

Dario Garcia-Gasulla, Jonathan Moreno, Raúl Ramos-Pollán, Romel Casadiegos Barrios, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta, Toyotaro Suzumura

Proceedings of the Artificial Intelligence Research and Development, 2016

Assessing Falling Risk in Elderly with the Ten Meter Walking Test: A Machine Learning Approach.

Atia Cortés, Javier Béjar, Cristian Barrué, Antonio B. Martínez, Ulises Cortés

Proceedings of the Artificial Intelligence Research and Development, 2016

2015

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.

Mario Martín, Enrique Contreras, Javier Béjar, Gennaro Esposito, Diógenes Chávez, Silvio Glusman, Ulises Cortés, Pablo Rudomín

Frontiers Neuroinformatics, 2015

Extracting Visual Patterns from Deep Learning Representations.

Dario Garcia-Gasulla, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta

CoRR, 2015

Using Kernel Alignment for Feature Selection in Schizophrenia Diagnostic.

Mario Martín, Javier Béjar, Gennaro Esposito, Neus Català, Ulises Cortés, Ferran Viñas, Josep Tarragó, Emilio Rojo, Rafal Nowak

Proceedings of the Artificial Intelligence Research and Development, 2015

A Data Mining Methodology for Event Analysis in Neurophysiological Signals.

Javier Béjar, Mario Martín, Gennaro Esposito, Enrique Contreras, Diógenes Chávez, Ulises Cortés, Pablo Rudomín

Proceedings of the Artificial Intelligence Research and Development, 2015

2014

Social network data analysis for event detection.

Dario Garcia-Gasulla, Sergio Álvarez-Napagao, Arturo Tejeda-Gómez, Luis Oliva Felipe, Ignasi Gómez-Sebastià, Javier Béjar, Javier Vázquez-Salceda

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2004

Nearest-Neighbours for Time Series.

Juan Manuel Gimeno Illa, Javier Béjar, Miquel Sànchez-Marrè

Appl. Intell., 2004

2001

Generality-Based Conceptual Clustering with Probabilistic Concepts.

Luis Talavera, Javier Béjar

IEEE Trans. Pattern Anal. Mach. Intell., 2001

2000

Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning.

Javier Béjar

Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

To Bid or Not To Bid Agent Strategies in Electronic Auction Games.

Javier Béjar, Juan A. Rodríguez-Aguilar

Proceedings of the Agent-Mediated Electronic Commerce III, 2000

Agent Strategies on DPB Auction Tournaments.

Javier Béjar, Ulises Cortés

Proceedings of the Agent-Mediated Electronic Commerce III, 2000

1999

Integrating Declarative Knowledge in Hierarchical Clustering Tasks.

Luis Talavera, Javier Béjar

Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

Reflective Reasoning in a Case-Based Reasoning Agent.

Miquel Sànchez-Marrè, Ulises Cortés, Javier Béjar, Ignasi R.-Roda, Manel Poch

Proceedings of the Collaboration between Human and Artificial Societies, 1999

1998

Efficient Construction of Comprehensible Hierarchical Clusterings.

Luis Talavera, Javier Béjar

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

1997

Concept Formation in WWTP by Means of Classification Techniques: A Compared Study.

Miquel Sànchez-Marrè, Ulises Cortés, Javier Béjar, Joan De Grácia, Javier Lafuente, Manel Poch

Appl. Intell., 1997