Francisco López de la Rosa

According to our database, Francisco López de la Rosa authored at least 18 papers between 2021 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

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

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

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

Artificial Vision Technique to Detect and Classify Cocoa Beans.

Luis Zhinin-Vera, Jonathan Zhiminaicela-Cabrera, Elena Pretel, Pamela Suárez, Oscar Chang, Francesc Anton Castro, Francisco López de la Rosa

Proceedings of the Advances in Computational Intelligence, 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

Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review.

Roberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, María T. López, Antonio Fernández-Caballero

Sensors, 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

One-dimensional convolutional neural networks for low/high arousal classification from electrodermal activity.

Roberto Sánchez-Reolid, Francisco López de la Rosa, María T. López, Antonio Fernández-Caballero

Biomed. Signal Process. Control., 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

2021

Feeling of Safety and Comfort towards a Socially Assistive Unmanned Aerial Vehicle That Monitors People in a Virtual Home.

Lidia M. Belmonte, Arturo S. García, Rafael Morales, Jose Luis de la Vara, Francisco López de la Rosa, Antonio Fernández-Caballero

Sensors, 2021

Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal Activity.

Roberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, María T. López, Antonio Fernández-Caballero

Proceedings of the Advances in Computational Intelligence, 2021