Rigoberto Fonseca

Orcid: 0000-0002-8890-3911

According to our database1, Rigoberto Fonseca authored at least 16 papers between 2011 and 2023.

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

Timeline

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Bibliography

2023
Generalized binary utility functions and fair allocations.
Math. Soc. Sci., January, 2023

RADENN: A Domain-Specific Language for the Rapid Development of Neural Networks.
IEEE Access, 2023

2022
COVID-19 Fake News Detection Using Joint Doc2Vec and Text Features with PCA.
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

Beyond identical utilities: buyer utility functions and fair allocations.
CoRR, 2021

BIOMEX-DB: A Cognitive Audiovisual Dataset for Unimodal and Multimodal Biometric Systems.
IEEE Access, 2021

2020
Digit-Based Speaker Verification in Spanish Using Hidden Markov Models.
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
Long-Term Prediction of a Sine Function Using a LSTM Neural Network.
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
Finding patterns in labeled graphs using spectrum feature vectors in a SOM network.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011


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