Rigoberto Fonseca
Orcid: 0000-0002-8890-3911
According to our database1,
Rigoberto Fonseca
authored at least 19 papers
between 2011 and 2024.
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Bibliography
2024
Evaluation of features and channels of electroencephalographic signals for biometric systems.
EURASIP J. Adv. Signal Process., December, 2024
Bimodal biometric recognition system using Convolutional Neural Networks and fusion of deep audiovisual feature vectors.
Int. J. Comb. Optim. Probl. Informatics, 2024
Integrating a LLaMa-based Chatbot with Augmented Retrieval Generation as a Complementary Educational Tool for High School and College Students.
Proceedings of the 19th International Conference on Software Technologies, 2024
2023
Math. Soc. Sci., January, 2023
IEEE Access, 2023
2022
Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2022
2021
EBAPy: A Python framework for analyzing the factors that have an influence in the performance of EEG-based applications.
Softw. Impacts, 2021
Analysis of factors that influence the performance of biometric systems based on EEG signals.
Expert Syst. Appl., 2021
BIOMEX-DB: A Cognitive Audiovisual Dataset for Unimodal and Multimodal Biometric Systems.
IEEE Access, 2021
2020
Res. Comput. Sci., 2020
2019
A method for studying how much time of EEG recording is needed to have a good user identification.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019
Design decisions under object-oriented approach: A thematic analysis from the abstraction point of view.
Proceedings of the CSERC '19: The 8th Computer Science Education Research Conference, 2019
2017
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
2016
Modeling Diversity in Ensembles for Time-Series Prediction Based on Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
2014
Temporal Validated Meta-Learning for Long-Term Forecasting of Chaotic Time Series Using Monte Carlo Cross-Validation.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
Selecting and combining models with self-organizing maps for long-term forecasting of chaotic time series.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
An assessment of ten-fold and Monte Carlo cross validations for time series forecasting.
Proceedings of the 10th International Conference on Electrical Engineering, 2013
2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011