Alejandro Antonio Torres García

Orcid: 0000-0001-5091-0764

According to our database1, Alejandro Antonio Torres García authored at least 23 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Emotion Recognition Method Based on EEG Signal Processing, Simplified Inception Network and Discrete Model.
Proceedings of the Advances in Soft Computing, 2024

2023
Interpretation of a deep analysis of speech imagery features extracted by a capsule neural network.
Comput. Biol. Medicine, June, 2023

The impact of reading fluency level on interactive information retrieval.
Univers. Access Inf. Soc., March, 2023

Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition.
Biomed. Signal Process. Control., March, 2023

2022
A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels.
IEEE Trans. Serv. Comput., 2022

Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG.
Proceedings of the Advances in Computational Intelligence, 2022

Recognition of P300 Wave and SSVEP using a Capsule Neural Network.
Proceedings of the 19th International Conference on Electrical Engineering, 2022

2020
Assessing the Impact of Idle State Type on the Identification of RGB Color Exposure for BCI.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
Evaluation of quantitative and qualitative features for the acoustic analysis of domestic dogs' vocalizations.
J. Intell. Fuzzy Syst., 2019

Subjects identification using EEG-recorded imagined speech.
Expert Syst. Appl., 2019

Automated analysis of newborn cry: relationships between melodic shapes and native language.
Biomed. Signal Process. Control., 2019

Transfer learning in imagined speech EEG-based BCIs.
Biomed. Signal Process. Control., 2019

Analyzing the Recognition of Color Exposure and Imagined Color from EEG Signals.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
Tensor Decomposition for Imagined Speech Discrimination in EEG.
Proceedings of the Advances in Computational Intelligence, 2018

On the Development of a Non-Invasive Pathologies Identification System by Qualitative and Quantitative Characterization of Infant Crying and the Application of Intelligent Classification Models to be Used in Rural Environments.
Proceedings of the International Conference on Rural and Elderly Health Informatics (IREHI 2018), 2018

2017
Hacia la clasificación de actividad e inactividad lingüística a partir de señales de electroencefalogramas (EEG).
Res. Comput. Sci., 2017

Selección de parámetros en el enfoque de bolsa de características para clasificación de habla imaginada en electroencefalogramas.
Res. Comput. Sci., 2017

Hacia un método de transferencia de aprendizaje en señales de EEG de habla imaginada.
Res. Comput. Sci., 2017

Sonification and textification: Proposing methods for classifying unspoken words from EEG signals.
Biomed. Signal Process. Control., 2017

2016
Hacia un método para identificación del idioma a través de información acústica.
Res. Comput. Sci., 2016

Implementing a fuzzy inference system in a multi-objective EEG channel selection model for imagined speech classification.
Expert Syst. Appl., 2016

2014
Sonificación de EEG para la clasificación de palabras no pronunciadas.
Res. Comput. Sci., 2014

2012
Toward a Silent Speech Interface based on Unspoken Speech.
Proceedings of the BIOSIGNALS 2012, 2012


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