Javier Rodríguez-Juan

According to our database, Javier Rodríguez-Juan authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Integrating advanced vision-language models for context recognition in risks assessment.

Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás, Grzegorz J. Nalepa

Neurocomputing, 2025

2024

Automated Generation of Clinical Reports Using Sensing Technologies with Deep Learning Techniques.

Celia Cabello-Collado, Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás, Maria Flores Vizcaya-Moreno

Sensors, May, 2024

Deep Learning for Enhanced Risk Assessment in Home Environments.

Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Lightweight CNNs for Advanced Bird Species Recognition on the Edge.

Adrian Berenguer-Agulló, Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Bird Action Recognition in Wetlands using Deep Learning.

Javier Rodríguez-Juan, Adrian Berenguer-Agulló, Manuel Benavent-Lledó, David Mulero-Perez, José García Rodríguez, Esther Sebastián-González

Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024

2023

A Comprehensive Study on Pain Assessment from Multimodal Sensor Data.

Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, Javier Rodríguez-Juan, Adrian Berenguer-Agulló, Alexandra Psarrou, José García Rodríguez

Sensors, December, 2023

Shot Boundary Detection with 3D Depthwise Convolutions and Visual Attention.

Miguel Jose Esteve Brotons, Francisco Javier Lucendo, Javier Rodríguez-Juan, José García Rodríguez

Sensors, August, 2023

Indoor Scenes Video Captioning.

Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás, Grzegorz J. Nalepa

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Deep Learning-Based Emotion Detection in Aphasia Patients.

David Ortiz-Perez, Pablo Ruiz-Ponce, Javier Rodríguez-Juan, David Tomás, José García Rodríguez, Grzegorz J. Nalepa

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023