Francisco López de la Rosa

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Convolutional Neural Network

Artificial Vision

Defect Classification

Top Venues

Comput. Ind. Eng.

Biomed. Signal Process. Control.

Publications

Francisco López de la Rosa, Lucía Moreno-Salvador, José Luis Gómez-Sirvent, Rafael Morales, Roberto Sánchez-Reolid, Antonio Fernández-Caballero
Improved Surface Defect Classification from a Simple Convolutional Neural Network by Image Preprocessing and Data Augmentation. IWINAC (2) (2024)
José Luis Gómez-Sirvent, Desirée Fernández-Sotos, Francisco López de la Rosa, Antonio Fernández-Caballero
Building information modeling and affective occupancy evaluation: A scoping review. J. Ambient Intell. Smart Environ. 16 (2) (2024)
Francisco López de la Rosa, José L. Gómez-Sirvent, Lidia M. Belmonte, Rafael Morales, Antonio Fernández-Caballero
Fine-Tuned SqueezeNet Lightweight Model for Classifying Surface Defects in Hot-Rolled Steel. IWANN (1) (2023)
Luis Zhinin-Vera, Jonathan Zhiminaicela-Cabrera, Elena Pretel, Pamela Suárez, Oscar Chang, Francesc Anton Castro, Francisco López de la Rosa
Artificial Vision Technique to Detect and Classify Cocoa Beans. IWANN (2) (2023)
Lidia M. Belmonte, Eva Segura, Francisco López de la Rosa, José L. Gómez-Sirvent, Antonio Fernández-Caballero, Rafael Morales
Training industrial engineers in Logistics 4.0. Comput. Ind. Eng. 184 (2023)
Francisco López de la Rosa, José L. Gómez-Sirvent, Rafael Morales, Roberto Sánchez-Reolid, Antonio Fernández-Caballero
Defect detection and classification on semiconductor wafers using two-stage geometric transformation-based data augmentation and SqueezeNet lightweight convolutional neural network. Comput. Ind. Eng. 183 (2023)
José Luis Gómez-Sirvent, Desirée Fernández-Sotos, Francisco López de la Rosa, Alicia Fernández-Sotos, Antonio Fernández-Caballero
VRPrOE Toolbox for Virtual Pre-occupancy Evaluation: Proof of Concept on a BIM Model of a Conservatory Classroom. ISAmI (2023)
Roberto Sánchez-Reolid, Francisco López de la Rosa, María T. López, Antonio Fernández-Caballero
One-dimensional convolutional neural networks for low/high arousal classification from electrodermal activity. Biomed. Signal Process. Control. 71 (Part) (2022)
Francisco López de la Rosa, José L. Gómez-Sirvent, Corinna Kofler, Rafael Morales, Antonio Fernández-Caballero
Detection of Unknown Defects in Semiconductor Materials from a Hybrid Deep and Machine Learning Approach. IWINAC (1) (2022)
Francisco López de la Rosa, José L. Gómez-Sirvent, Roberto Sánchez-Reolid, Rafael Morales, Antonio Fernández-Caballero
Geometric transformation-based data augmentation on defect classification of segmented images of semiconductor materials using a ResNet50 convolutional neural network. Expert Syst. Appl. 206 (2022)
Roberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, María T. López, Antonio Fernández-Caballero
Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review. Sensors 22 (22) (2022)
Francisco López de la Rosa, José L. Gómez-Sirvent, Rafael Morales, Roberto Sánchez-Reolid, Antonio Fernández-Caballero
A deep residual neural network for semiconductor defect classification in imbalanced scanning electron microscope datasets. Appl. Soft Comput. 131 (2022)
Lidia M. Belmonte, Arturo S. García, Rafael Morales, Jose Luis de la Vara, Francisco López de la Rosa, Antonio Fernández-Caballero
Feeling of Safety and Comfort towards a Socially Assistive Unmanned Aerial Vehicle That Monitors People in a Virtual Home. Sensors 21 (3) (2021)
Roberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, María T. López, Antonio Fernández-Caballero
Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal Activity. IWANN (1) (2021)