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2020 – today
- 2024
[c6]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
- [c5]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 - [c4]Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, Antonio Fernández-Caballero, Alejandro L. Borja:
Pleasure and Displeasure Identification from fNIRS Signals. ISAmI 2023: 209-219 - 2022
- [j1]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) - [c3]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 - [c2]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
- [c1]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
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