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ORCIDRoberto Sánchez-Reolid
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2020 – today
- 2024
[j10]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: 101176 (2024)- [c10]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: 23-32 - [c9]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: 401-410 - 2023
- [j9]Francisco López de la Rosa, José Luis 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: 109549 (2023) - [j8]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): 217-232 (2023) - [c8]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: 123-133 - [c7]Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, Antonio Fernández-Caballero, Alejandro L. Borja:
Pleasure and Displeasure Identification from fNIRS Signals. ISAmI 2023: 209-219 - 2022
- [j7]Francisco López de la Rosa, José Luis 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: 109743 (2022) - [j6]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): 103203 (2022) - [j5]Francisco López de la Rosa, José Luis 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: 117731 (2022) - [j4]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): 2250041:1-2250041:19 (2022) - [j3]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): 8886 (2022) - [c6]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: 13-23 - [c5]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: 239-248 - 2021
- [c4]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: 265-276 - 2020
- [j2]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): 2050031:1-2050031:16 (2020) - [j1]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): 4788 (2020)
2010 – 2019
- 2019
- [c3]Roberto Sánchez-Reolid, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero:
Stress Identification from Electrodermal Activity by Support Vector Machines. IWINAC (1) 2019: 202-211 - [c2]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: 30 - [c1]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: 33
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