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)

Efficient Construction of Comprehensible Hierarchical Clusterings. - Luis Talavera; Javier Béjar (PKDD, 1998)

Reflective Reasoning in a Case-Based Reasoning Agent. - Miquel Sànchez-Marrè; Ulises Cortés; Javier Béjar; Ignasi R.-Roda; Manel Poch (Collaboration between Human and Artificial Societies, 1999)

Integrating Declarative Knowledge in Hierarchical Clustering Tasks. - Luis Talavera; Javier Béjar (IDA, 1999)

Agent Strategies on DPB Auction Tournaments. - Javier Béjar; Ulises Cortés (AMEC, 2000)

To Bid or Not To Bid Agent Strategies in Electronic Auction Games. - Javier Béjar; Juan A. Rodríguez-Aguilar (AMEC, 2000)

Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning. - Javier Béjar (ECML, 2000)

Generality-Based Conceptual Clustering with Probabilistic Concepts. - Luis Talavera; Javier Béjar (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Nearest-Neighbours for Time Series. - Juan Manuel Gimeno Illa; Javier Béjar; Miquel Sànchez-Marrè (Appl. Intell., 2004)

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 (ECAI, 2014)

A Data Mining Methodology for Event Analysis in Neurophysiological Signals. - Javier Béjar; Mario Martín; Gennaro Esposito; Enrique Contreras; Diógenes Chávez; Ulises Cortés; Pablo Rudomín (CCIA, 2015)

Using Kernel Alignment for Feature Selection in Schizophrenia Diagnostic. - Mario Martín; Javier Béjar; Gennaro Esposito; Neus Català; Ulises Cortés; Ferran Viñas; Josep Tarragó; J. Emilio Rojo; Rafal Nowak (CCIA, 2015)

Extracting Visual Patterns from Deep Learning Representations. - Dario Garcia-Gasulla; Javier Béjar; Ulises Cortés; Eduard Ayguadé; Jesús Labarta (CoRR, 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)

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 (CCIA, 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 (CCIA, 2016)

Using the i-walker as a measurement tool for walking behaviour analysis. - Atia Cortés; Antonio B. Martínez; Javier Béjar (REHAB, 2016)

Spatio-Temporal Gait Analysis Based on Human-Smart Rollator Interaction. - Atia Cortés; Antonio B. Martínez; Javier Béjar (REHAB (Revised Selected Papers), 2016)

Discovery of spatio-temporal patterns from location-based social networks. - Javier Béjar; Sergio Álvarez-Napagao; Dario Garcia-Gasulla; Ignasi Gómez-Sebastià; Luis Oliva 001; Arturo Tejeda-Gómez; Javier Vázquez-Salceda (J. Exp. Theor. Artif. Intell., 2016)

Convolutional Neural Networks for Classification of Malware Assembly Code. - Daniel Gibert; Javier Béjar; Carles Mateu; Jordi Planes; Daniel Solis; Ramon Vicens (CCIA, 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)

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)

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; J. Emilio Rojo; Rafal Nowak (Pattern Recognit. Lett., 2017)

An Approach to Gait Analysis from Human-Rollator Interaction: The i-Walker. - Atia Cortés; Maribel Ojeda; Javier Béjar; Antonio B. Martínez (CCIA, 2018)

Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting. - Jaume Manero; Javier Béjar; Ulises Cortés (CCIA, 2018)

Predicting Wind Energy Generation with Recurrent Neural Networks. - Jaume Manero; Javier Béjar; Ulises Cortés (IDEAL (1), 2018)

Automatic classification of gait patterns using a smart rollator and the BOSS model. - Maribel Ojeda; Atia Cortés; Javier Béjar; Ulises Cortés (PETRA, 2018)

Wind Energy Forecasting with Neural Networks: A Literature Review. - Jaume Manero; Javier Béjar; Ulises Cortés (Computación y Sistemas, 2018)

Wind Prediction Using Deep Learning and High Performance Computing. - Jaume Manero; Javier Béjar; Ulises Cortés (CARLA, 2021)

Forecastability Measures that Describe the Complexity of a Site for Deep Learning Wind Predictions. - Jaume Manero; Javier Béjar (Supercomput. Front. Innov., 2021)

Large scale prediction of sick leave duration with nonlinear survival analysis algorithms. - Javier Béjar; Raquel Pérez 001; Armand Vilalta; Sergio Álvarez-Napagao; Dario Garcia-Gasulla (Expert Syst. Appl., 2022)

Applying Generative Models and Transfer Learning to Physiological Data Classification. - José Fernando Núñez; Jamie Arjona; Adrián Tormos; Darío García; Javier Béjar (CCIA, 2023)

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 (CCIA, 2024)

Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification. - José Fernando Núñez; Jamie Arjona; Javier Béjar (CoRR, 2024)

Data Augmentation with Diffusion Models for Colon Polyp Localization on the Low Data Regime: How much real data is enough? - Adrián Tormos; Blanca Llauradó; José Fernando Núñez; Axel Romero; Dario Garcia-Gasulla; Javier Béjar (CoRR, 2024)