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2020 – today
- 2024
[c22]Blanca Llauradó, José Fernando Núñez, Axel Romero, Jamie Arjona, Javier Béjar, Jorge Andrés Gómez-García, Diego Torricelli:
Generative Models for Data Augmentation on Inertial Measurement Units Data Classification. CCIA 2024: 68-77- 2023
- [c21]José Fernando Núñez, Jamie Arjona, Adrián Tormos, Darío García, Javier Béjar:
Applying Generative Models and Transfer Learning to Physiological Data Classification. CCIA 2023: 28-37 - 2022
- [j11]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: 116760 (2022) - 2021
- [j10]Jaume Manero, Javier Béjar:
Forecastability Measures that Describe the Complexity of a Site for Deep Learning Wind Predictions. Supercomput. Front. Innov. 8(1): 8-27 (2021) - [c20]Jaume Manero, Javier Béjar, Ulises Cortés:
Wind Prediction Using Deep Learning and High Performance Computing. CARLA 2021: 193-207
2010 – 2019
- 2018
- [j9]Jaume Manero, Javier Béjar, Ulises Cortés:
Wind Energy Forecasting with Neural Networks: A Literature Review. Computación y Sistemas 22(4) (2018) - [c19]Jaume Manero, Javier Béjar, Ulises Cortés:
Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting. CCIA 2018: 79-83 - [c18]Atia Cortés, Maribel Ojeda, Javier Béjar, Antonio B. Martínez:
An Approach to Gait Analysis from Human-Rollator Interaction: The i-Walker. CCIA 2018: 335-344 - [c17]Jaume Manero, Javier Béjar, Ulises Cortés:
Predicting Wind Energy Generation with Recurrent Neural Networks. IDEAL (1) 2018: 89-98 - [c16]Maribel Ojeda, Atia Cortés, Javier Béjar, Ulises Cortés:
Automatic classification of gait patterns using a smart rollator and the BOSS model. PETRA 2018: 384-390 - 2017
- [j8]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: 73-81 (2017) - [j7]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: 32 (2017) - [j6]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: 172-181 (2017) - [c15]Daniel Gibert, Javier Béjar, Carles Mateu, Jordi Planes, Daniel Solis, Ramon Vicens:
Convolutional Neural Networks for Classification of Malware Assembly Code. CCIA 2017: 221-226 - 2016
- [j5]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): 313-329 (2016) - [c14]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: 29-38 - [c13]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: 227-232 - [c12]Atia Cortés, Antonio B. Martínez, Javier Béjar:
Using the i-walker as a measurement tool for walking behaviour analysis. REHAB 2016: 1-4 - [c11]Atia Cortés, Antonio B. Martínez, Javier Béjar:
Spatio-Temporal Gait Analysis Based on Human-Smart Rollator Interaction. REHAB (Revised Selected Papers) 2016: 68-83 - 2015
- [j4]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: 21 (2015) - [c10]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: 80-89 - [c9]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: 143-152 - [i1]Dario Garcia-Gasulla, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta:
Extracting Visual Patterns from Deep Learning Representations. CoRR abs/1507.08818 (2015) - 2014
- [c8]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: 126-135 - [c7]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: 1009-1010
2000 – 2009
- 2004
- [j3]Juan Manuel Gimeno Illa, Javier Béjar, Miquel Sànchez-Marrè:
Nearest-Neighbours for Time Series. Appl. Intell. 20(1): 21-35 (2004) - 2001
- [j2]Luis Talavera, Javier Béjar:
Generality-Based Conceptual Clustering with Probabilistic Concepts. IEEE Trans. Pattern Anal. Mach. Intell. 23(2): 196-206 (2001) - 2000
- [c6]Javier Béjar, Ulises Cortés:
Agent Strategies on DPB Auction Tournaments. AMEC 2000: 155-172 - [c5]Javier Béjar, Juan A. Rodríguez-Aguilar:
To Bid or Not To Bid Agent Strategies in Electronic Auction Games. AMEC 2000: 173-192 - [c4]Javier Béjar:
Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning. ECML 2000: 47-54
1990 – 1999
- 1999
- [c3]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: 142-158 - [c2]Luis Talavera, Javier Béjar:
Integrating Declarative Knowledge in Hierarchical Clustering Tasks. IDA 1999: 211-222 - 1998
- [c1]Luis Talavera, Javier Béjar:
Efficient Construction of Comprehensible Hierarchical Clusterings. PKDD 1998: 93-101 - 1997
- [j1]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): 147-165 (1997)
Coauthor Index
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