José Luis Gómez-Sirvent

According to our database, José Luis Gómez-Sirvent authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

Exploring Whisper's Latent Space for Emotion Recognition from Vocal Bursts.

José Luis Gómez-Sirvent, Francisco López de la Rosa, Paulo Novais, Antonio Fernández-Caballero

Proceedings of the Artificial Intelligence for Neuroscience, Mental Health, and Neurodegenerative Disorders, 2026

Design of an Embodied Conversational Agent for Autism Intervention: A Comparative Framework Between Physical Robots and Virtual Agents.

José Luis Gómez-Sirvent, Gema Benedicto, Antonio Fernández-Caballero

Proceedings of the Artificial Intelligence for Neuroscience, Mental Health, and Neurodegenerative Disorders, 2026

A Computational Interaction Model and Architecture Inspired by Pivotal Response Treatment (PRT).

Gema Benedicto, José Luis Gómez-Sirvent

Proceedings of the Artificial Intelligence for Neuroscience, Mental Health, and Neurodegenerative Disorders, 2026

2025

Musical Instruments in Extended Reality: A Systematic Review.

José Luis Gómez-Sirvent, Francisco López de la Rosa, Roberto Sánchez-Reolid, Rafael Morales Herrera, Antonio Fernández-Caballero

Int. J. Hum. Comput. Interact., August, 2025

Digital Tech Integration in Industrial Engineer Training via Affordable Academic Tools.

Lidia M. Belmonte, Eva Segura, José Luis Gómez-Sirvent, Francisco López de la Rosa, Javier de las Morenas, Antonio Fernández-Caballero, Rafael Morales

Comput., 2025

Expression Recognition in Faces Partially Occluded by Head-Mounted Displays.

José Luis Gómez-Sirvent, Francisco López de la Rosa, Roberto Sánchez-Reolid, Antonio Fernández-Caballero

Proceedings of the Advances in Computational Intelligence, 2025

2024

Assessment of music performance anxiety in a virtual auditorium through the study of ambient lighting and audience distance.

José Luis Gómez-Sirvent, Alicia Fernández-Sotos, Antonio Fernández-Caballero, Desirée Fernández-Sotos

Virtual Real., March, 2024

Building information modeling and affective occupancy evaluation: A scoping review.

José Luis Gómez-Sirvent, Desirée Fernández-Sotos, Francisco López de la Rosa, Antonio Fernández-Caballero

J. Ambient Intell. Smart Environ., 2024

Binary Classification Methods for Movement Analysis from Functional Near-Infrared Spectroscopy Signals.

Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, José Luis Gómez-Sirvent, Alejandro L. Borja, José M. Ferrández, Antonio Fernández-Caballero

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Improved Surface Defect Classification from a Simple Convolutional Neural Network by Image Preprocessing and Data Augmentation.

Francisco López de la Rosa, Lucía Moreno-Salvador, José Luis Gómez-Sirvent, Rafael Morales, Roberto Sánchez-Reolid, Antonio Fernández-Caballero

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

2023

Training industrial engineers in Logistics 4.0.

Lidia M. Belmonte, Eva Segura, Francisco López de la Rosa, José Luis Gómez-Sirvent, Antonio Fernández-Caballero, Rafael Morales

Comput. Ind. Eng., October, 2023

Defect detection and classification on semiconductor wafers using two-stage geometric transformation-based data augmentation and SqueezeNet lightweight convolutional neural network.

Francisco López de la Rosa, José Luis Gómez-Sirvent, Rafael Morales, Roberto Sánchez-Reolid, Antonio Fernández-Caballero

Comput. Ind. Eng., September, 2023

Fine-Tuned SqueezeNet Lightweight Model for Classifying Surface Defects in Hot-Rolled Steel.

Francisco López de la Rosa, José Luis Gómez-Sirvent, Lidia M. Belmonte, Rafael Morales, Antonio Fernández-Caballero

Proceedings of the Advances in Computational Intelligence, 2023

VRPrOE Toolbox for Virtual Pre-occupancy Evaluation: Proof of Concept on a BIM Model of a Conservatory Classroom.

José Luis Gómez-Sirvent, Desirée Fernández-Sotos, Francisco López de la Rosa, Alicia Fernández-Sotos, Antonio Fernández-Caballero

Proceedings of the Ambient Intelligence - Software and Applications, 2023

2022

Geometric transformation-based data augmentation on defect classification of segmented images of semiconductor materials using a ResNet50 convolutional neural network.

Francisco López de la Rosa, José Luis Gómez-Sirvent, Roberto Sánchez-Reolid, Rafael Morales, Antonio Fernández-Caballero

Expert Syst. Appl., 2022

A deep residual neural network for semiconductor defect classification in imbalanced scanning electron microscope datasets.

Francisco López de la Rosa, José Luis Gómez-Sirvent, Rafael Morales, Roberto Sánchez-Reolid, Antonio Fernández-Caballero

Appl. Soft Comput., 2022

Detection of Unknown Defects in Semiconductor Materials from a Hybrid Deep and Machine Learning Approach.

Francisco López de la Rosa, José Luis Gómez-Sirvent, Corinna Kofler, Rafael Morales, Antonio Fernández-Caballero

Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022