Javier Béjar

36 papers A 1B 1Journal 14Unranked 20
YearRankTypeTitle / Venue / Authors
2024 J jnl
Data Augmentation with Diffusion Models for Colon Polyp Localization on the Low Data Regime: How much real data is enough?
CoRR
Adrián Tormos, Blanca Llauradó, José Fernando Núñez, Axel Romero, Dario Garcia-Gasulla, Javier Béjar
2024 — conf
Generative Models for Data Augmentation on Inertial Measurement Units Data Classification.
CCIA
Blanca Llauradó, José Fernando Núñez, Axel Romero, Jamie Arjona, Javier Béjar, Jorge Andrés Gómez García, Diego Torricelli
2024 J jnl
Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification.
CoRR
José Fernando Núñez, Jamie Arjona, Javier Béjar
2023 — conf
Applying Generative Models and Transfer Learning to Physiological Data Classification.
CCIA
José Fernando Núñez, Jamie Arjona, Adrián Tormos, Darío García, Javier Béjar
2022 J jnl
Large scale prediction of sick leave duration with nonlinear survival analysis algorithms.
Expert Syst. Appl.
Javier Béjar, Raquel Pérez, Armand Vilalta, Sergio Álvarez-Napagao, Dario Garcia-Gasulla
2021 J jnl
Forecastability Measures that Describe the Complexity of a Site for Deep Learning Wind Predictions.
Supercomput. Front. Innov.
Jaume Manero, Javier Béjar
2021 — conf
Wind Prediction Using Deep Learning and High Performance Computing.
CARLA
Jaume Manero, Javier Béjar, Ulises Cortés
2018 — conf
An Approach to Gait Analysis from Human-Rollator Interaction: The i-Walker.
CCIA
Atia Cortés, Maribel Ojeda, Javier Béjar, Antonio B. Martínez
2018 — conf
Automatic classification of gait patterns using a smart rollator and the BOSS model.
PETRA
Maribel Ojeda, Atia Cortés, Javier Béjar, Ulises Cortés
2018 — conf
Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting.
CCIA
Jaume Manero, Javier Béjar, Ulises Cortés
2018 — conf
Predicting Wind Energy Generation with Recurrent Neural Networks.
IDEAL (1)
Jaume Manero, Javier Béjar, Ulises Cortés
2018 J jnl
Wind Energy Forecasting with Neural Networks: A Literature Review.
Computación y Sistemas
Jaume Manero, Javier Béjar, Ulises Cortés
2017 J jnl
A visual embedding for the unsupervised extraction of abstract semantics.
Cogn. Syst. Res.
Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Javier Béjar, Ulises Cortés, Toyotaro Suzumura, R. Chen
2017 — conf
Convolutional Neural Networks for Classification of Malware Assembly Code.
CCIA
Daniel Gibert, Javier Béjar, Carles Mateu, Jordi Planes, Daniel Solis, Ramon Vicens
2017 J jnl
Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia.
Pattern Recognit. Lett.
Mario Martín, Javier Béjar, Gennaro Esposito, Neus Català, Ulises Cortés, Ferran Viñas, Josep Tarragó, J. Emilio Rojo, Rafal Nowak
2017 J jnl
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.
Mario Martín, Javier Béjar, Gennaro Esposito, Diógenes Chávez, Enrique Contreras, Silvio Glusman, Ulises Cortés, Pablo Rudomín
2016 — conf
Assessing Falling Risk in Elderly with the Ten Meter Walking Test: A Machine Learning Approach.
CCIA
Atia Cortés, Javier Béjar, Cristian Barrué, Antonio B. Martínez, Ulises Cortés
2016 J jnl
Discovery of spatio-temporal patterns from location-based social networks.
J. Exp. Theor. Artif. Intell.
Javier Béjar, Sergio Álvarez-Napagao, Dario Garcia-Gasulla, Ignasi Gómez-Sebastià, Luis Oliva, Arturo Tejeda-Gómez, Javier Vázquez-Salceda
2016 — conf
On the Representativeness of Convolutional Neural Networks Layers.
CCIA
Dario Garcia-Gasulla, Jonathan Moreno, Raúl Ramos-Pollán, Romel Casadiegos Barrios, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta, Toyotaro Suzumura
2016 — conf
Spatio-Temporal Gait Analysis Based on Human-Smart Rollator Interaction.
REHAB (Revised Selected Papers)
Atia Cortés, Antonio B. Martínez, Javier Béjar
2016 — conf
Using the i-walker as a measurement tool for walking behaviour analysis.
REHAB
Atia Cortés, Antonio B. Martínez, Javier Béjar
2015 — conf
A Data Mining Methodology for Event Analysis in Neurophysiological Signals.
CCIA
Javier Béjar, Mario Martín, Gennaro Esposito, Enrique Contreras, Diógenes Chávez, Ulises Cortés, Pablo Rudomín
2015 J jnl
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
Mario Martín, Enrique Contreras, Javier Béjar, Gennaro Esposito, Diógenes Chávez, Silvio Glusman, Ulises Cortés, Pablo Rudomín
2015 J jnl
Extracting Visual Patterns from Deep Learning Representations.
CoRR
Dario Garcia-Gasulla, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta
2015 — conf
Using Kernel Alignment for Feature Selection in Schizophrenia Diagnostic.
CCIA
Mario Martín, Javier Béjar, Gennaro Esposito, Neus Català, Ulises Cortés, Ferran Viñas, Josep Tarragó, J. Emilio Rojo, Rafal Nowak
2014 — conf
Discovery of Spatio-Temporal Patterns from Location Based Social Networks.
CCIA
Javier Béjar, Sergio Álvarez-Napagao, Dario Garcia-Gasulla, Ignasi Gómez-Sebastià, Luis Oliva, Arturo Tejeda-Gómez, Javier Vázquez-Salceda
2014 A conf
Social network data analysis for event detection.
ECAI
Dario Garcia-Gasulla, Sergio Álvarez-Napagao, Arturo Tejeda-Gómez, Luis Oliva Felipe, Ignasi Gómez-Sebastià, Javier Béjar, Javier Vázquez-Salceda
2004 J jnl
Nearest-Neighbours for Time Series.
Appl. Intell.
Juan Manuel Gimeno Illa, Javier Béjar, Miquel Sànchez-Marrè
2001 J jnl
Generality-Based Conceptual Clustering with Probabilistic Concepts.
IEEE Trans. Pattern Anal. Mach. Intell.
Luis Talavera, Javier Béjar
2000 — conf
Agent Strategies on DPB Auction Tournaments.
AMEC
Javier Béjar, Ulises Cortés
2000 — conf
Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning.
ECML
Javier Béjar
2000 — conf
To Bid or Not To Bid Agent Strategies in Electronic Auction Games.
AMEC
Javier Béjar, Juan A. Rodríguez-Aguilar
1999 B conf
Integrating Declarative Knowledge in Hierarchical Clustering Tasks.
IDA
Luis Talavera, Javier Béjar
1999 — conf
Reflective Reasoning in a Case-Based Reasoning Agent.
Collaboration between Human and Artificial Societies
Miquel Sànchez-Marrè, Ulises Cortés, Javier Béjar, Ignasi R.-Roda, Manel Poch
1998 — conf
Efficient Construction of Comprehensible Hierarchical Clusterings.
PKDD
Luis Talavera, Javier Béjar
1997 J jnl
Concept Formation in WWTP by Means of Classification Techniques: A Compared Study.
Appl. Intell.
Miquel Sànchez-Marrè, Ulises Cortés, Javier Béjar, Joan De Grácia, Javier Lafuente, Manel Poch