Beatriz García-Martínez
Orcid: 0000-0002-0151-4834
According to our database1,
Beatriz García-Martínez
authored at least 29 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Detection of auditory hallucinations from electroencephalographic brain-computer interface signals.
Cogn. Syst. Res., January, 2024
2023
Comparative Study of Large Language Models as Emotion and Sentiment Analysis Systems: A Case-Specific Analysis of GPT vs. IBM Watson.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023
2022
Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals.
IEEE Trans. Cogn. Dev. Syst., 2022
Int. J. Neural Syst., 2022
Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States.
Int. J. Neural Syst., 2022
Quantum hobbit routing: Annealer implementation of generalized Travelling Salesperson Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
2021
A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition.
IEEE Trans. Affect. Comput., 2021
Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network.
Sensors, 2021
Assessment of dispersion patterns for negative stress detection from electroencephalographic signals.
Pattern Recognit., 2021
Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings.
Neural Comput. Appl., 2021
Recognition of Emotional States from EEG Signals with Nonlinear Regularity- and Predictability-Based Entropy Metrics.
Cogn. Comput., 2021
Detection of Emotions from Electroencephalographic Recordings by Means of a Nonlinear Functional Connectivity Measure.
Proceedings of the Advances in Computational Intelligence, 2021
Analysis of Electroencephalographic Signals from a Brain-Computer Interface for Emotions Detection.
Proceedings of the Advances in Computational Intelligence, 2021
2020
Nonlinear predictability analysis of brain dynamics for automatic recognition of negative stress.
Neural Comput. Appl., 2020
2019
Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings.
Int. J. Neural Syst., 2019
Frontiers Neuroinformatics, 2019
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
2018
Testing a New Methodology for Accelerating the Computation of Quadratic Sample Entropy in Emotion Recognition Systems.
Proceedings of the Ambient Intelligence, 2018
Multilag Extension of Quadratic Sample Entropy for Distress Recognition with EEG Recordings.
Proceedings of the Ambient Intelligence, 2018
2017
Study of Electroencephalographic Signal Regularity for Automatic Emotion Recognition.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Recent Advances and Challenges in Nonlinear Characterization of Brain Dynamics for Automatic Recognition of Emotional States.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
2016
Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings.
Entropy, 2016
Proceedings of the Ambient Intelligence - Software and Applications, 2016