Roberto Sánchez-Reolid

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Physiological Signals

Convolutional Neural Network

Defect Classification

Top Venues

Int. J. Neural Syst.

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)
Beatriz García-Martínez, Patricia Fernández-Sotos, Jorge J. Ricarte-Trives, Eva M. Sánchez-Morla, Roberto Sánchez-Reolid, Roberto Rodríguez-Jiménez, Antonio Fernández-Caballero
Detection of auditory hallucinations from electroencephalographic brain-computer interface signals. Cogn. Syst. Res. 83 (2024)
Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, José Luis Gómez-Sirvent, Alejandro L. Borja, José M. Ferrández, Antonio Fernández-Caballero
Binary Classification Methods for Movement Analysis from Functional Near-Infrared Spectroscopy Signals. IWINAC (2024)
Arturo S. García, Patricia Fernández-Sotos, Miguel Á. Vicente-Querol, Roberto Sánchez-Reolid, Roberto Rodríguez-Jiménez, Antonio Fernández-Caballero
Co-design of avatars to embody auditory hallucinations of patients with schizophrenia. Virtual Real. 27 (1) (2023)
Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, Antonio Fernández-Caballero, Alejandro L. Borja
Pleasure and Displeasure Identification from fNIRS Signals. ISAmI (2023)
Roberto Sánchez-Reolid, Daniel Sánchez-Reolid, Clara Ayora, José Luis de la Vara, António Pereira, Antonio Fernández-Caballero
Generic Architecture for Multisource Physiological Signal Acquisition, Processing and Classification Based on Microservices. DCAI (1) (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)
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)
Eloy García-Pérez, Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, Antonio Fernández-Caballero, José Miguel Latorre, Alejandro L. Borja
Electroencephalographic Signal Processing from Brain-Computer-Interface Following Image-Based Emotion Induction. ISAmI (2022)
Roberto Sánchez-Reolid, María Cruz Martínez-Sáez, Beatriz García-Martínez, Luz Fernández-Aguilar, Laura Ros, José Miguel Latorre, Antonio Fernández-Caballero
Emotion Classification from EEG with a Low-Cost BCI Versus a High-End Equipment. Int. J. Neural Syst. 32 (10) (2022)
Roberto Sánchez-Reolid, Daniel Sánchez-Reolid, António Pereira, Antonio Fernández-Caballero
Acquisition and Synchronisation of Multi-source Physiological Data Using Microservices and Event-Driven Architecture. ISAmI (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)
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)
Almudena Bartolomé-Tomás, Roberto Sánchez-Reolid, Alicia Fernández-Sotos, José Miguel Latorre, Antonio Fernández-Caballero
Arousal Detection in Elderly People from Electrodermal Activity Using Musical Stimuli. Sensors 20 (17) (2020)
Roberto Sánchez-Reolid, Arturo Martínez-Rodrigo, María T. López, Antonio Fernández-Caballero
Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity. Int. J. Neural Syst. 30 (7) (2020)
Roberto Sánchez-Reolid, Arturo S. García, Miguel Á. Vicente-Querol, Beatriz García-Martínez, Antonio Fernández-Caballero
Distributed Architecture for Acquisition and Processing of Physiological Signals. UCAmI (2019)
Almudena Bartolomé-Tomás, Roberto Sánchez-Reolid, Beatriz García-Martínez, Alicia Fernández-Sotos, Antonio Fernández-Caballero
Memory Retrieval in Ageing Adults through Traditional Music Genres - An Experiment Based on Electroencephalography Signals. UCAmI (2019)
Roberto Sánchez-Reolid, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero
Stress Identification from Electrodermal Activity by Support Vector Machines. IWINAC (1) (2019)