Roberto Sánchez-Reolid

Orcid: 0000-0003-4455-370X

According to our database1, Roberto Sánchez-Reolid authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Detection of auditory hallucinations from electroencephalographic brain-computer interface signals.
Cogn. Syst. Res., January, 2024

Binary Classification Methods for Movement Analysis from Functional Near-Infrared Spectroscopy Signals.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Improved Surface Defect Classification from a Simple Convolutional Neural Network by Image Preprocessing and Data Augmentation.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

2023
Defect detection and classification on semiconductor wafers using two-stage geometric transformation-based data augmentation and SqueezeNet lightweight convolutional neural network.
Comput. Ind. Eng., September, 2023

Co-design of avatars to embody auditory hallucinations of patients with schizophrenia.
Virtual Real., March, 2023

Pleasure and Displeasure Identification from fNIRS Signals.
Proceedings of the Ambient Intelligence - Software and Applications, 2023

Generic Architecture for Multisource Physiological Signal Acquisition, Processing and Classification Based on Microservices.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

2022
Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review.
Sensors, 2022

Emotion Classification from EEG with a Low-Cost BCI Versus a High-End Equipment.
Int. J. Neural Syst., 2022

Geometric transformation-based data augmentation on defect classification of segmented images of semiconductor materials using a ResNet50 convolutional neural network.
Expert Syst. Appl., 2022

One-dimensional convolutional neural networks for low/high arousal classification from electrodermal activity.
Biomed. Signal Process. Control., 2022

A deep residual neural network for semiconductor defect classification in imbalanced scanning electron microscope datasets.
Appl. Soft Comput., 2022

Acquisition and Synchronisation of Multi-source Physiological Data Using Microservices and Event-Driven Architecture.
Proceedings of the Ambient Intelligence - Software and Applications, 2022

Electroencephalographic Signal Processing from Brain-Computer-Interface Following Image-Based Emotion Induction.
Proceedings of the Ambient Intelligence - Software and Applications, 2022

2021
Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal Activity.
Proceedings of the Advances in Computational Intelligence, 2021

2020
Arousal Detection in Elderly People from Electrodermal Activity Using Musical Stimuli.
Sensors, 2020

Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity.
Int. J. Neural Syst., 2020

2019
Distributed Architecture for Acquisition and Processing of Physiological Signals.
Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

Memory Retrieval in Ageing Adults through Traditional Music Genres - An Experiment Based on Electroencephalography Signals.
Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

Stress Identification from Electrodermal Activity by Support Vector Machines.
Proceedings of the Understanding the Brain Function and Emotions, 2019


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