| Analysis of factors that influence the performance of biometric systems based on EEG signals D Carrión-Ojeda, R Fonseca-Delgado, I Pineda Expert Systems with Applications 165, 113967, 2021 | 38 | 2021 |
| An assessment of ten-fold and Monte Carlo cross validations for time series forecasting R Fonseca-Delgado, P Gomez-Gil 2013 10th International Conference on Electrical Engineering, Computing …, 2013 | 29 | 2013 |
| BIOMEX-DB: A cognitive audiovisual dataset for unimodal and multimodal biometric systems JC Moreno-Rodriguez, JC Atenco-Vazquez, JM Ramirez-Cortes, ... Ieee Access 9, 111267-111276, 2021 | 11 | 2021 |
| Selecting and combining models with self-organizing maps for long-term forecasting of chaotic time series R Fonseca-Delgado, P Gómez-Gil 2014 International Joint Conference on Neural Networks (IJCNN), 2616-2623, 2014 | 11 | 2014 |
| A method for studying how much time of EEG recording is needed to have a good user identification D Carrión-Ojeda, H Mejía-Vallejo, R Fonseca-Delgado, P Gómez-Gil, ... 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2019 | 10 | 2019 |
| Automatic model selection in ensembles for time series forecasting R Fonseca, P Gomez IEEE Latin America Transactions 14 (8), 3811-3819, 2016 | 9 | 2016 |
| Generalized binary utility functions and fair allocations F Camacho, R Fonseca-Delgado, RP Pérez, G Tapia Mathematical Social Sciences 121, 50-60, 2023 | 8 | 2023 |
| Design decisions under object-oriented approach: A thematic analysis from the abstraction point of view P Flores, J Torres, R Fonseca-Delgado Proceedings of the 8th Computer Science Education Research Conference, 89-97, 2019 | 8 | 2019 |
| Long-term prediction of a sine function using a LSTM neural network M Jiménez-Guarneros, P Gómez-Gil, R Fonseca-Delgado, ... Nature-Inspired Design of Hybrid Intelligent Systems, 159-173, 2017 | 8 | 2017 |
| Temporal validated meta-learning for long-term forecasting of chaotic time series using monte carlo cross-validation R Fonseca, P Gómez-Gil Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 353-367, 2014 | 7 | 2014 |
| 2019 IEEE latin american conference on computational intelligence (LA-CCI) D Carrión-Ojeda, H Mejia-Vallejo, R Fonseca-Delgado, P Gómez-Gil, ... IEEE, 2019 | 6 | 2019 |
| Beyond identical utilities: buyer utility functions and fair allocations F Camacho, R Fonseca-Delgado, RP Pérez, G Tapia arXiv preprint arXiv:2109.08461, 2021 | 5 | 2021 |
| EBAPy: A Python framework for analyzing the factors that have an influence in the performance of EEG-based applications D Carrión-Ojeda, P Martínez-Arias, R Fonseca-Delgado, I Pineda Software Impacts 8, 100062, 2021 | 3 | 2021 |
| Evaluation of features and channels of electroencephalographic signals for biometric systems D Carrión-Ojeda, P Martínez-Arias, R Fonseca-Delgado, I Pineda, ... EURASIP Journal on Advances in Signal Processing 2024 (1), 58, 2024 | 2 | 2024 |
| RADENN: a domain-specific language for the rapid development of neural networks I Pineda, D Carrión-Ojeda, R Fonseca-Delgado IEEE Access 11, 86727-86738, 2023 | 2 | 2023 |
| Covid-19 fake news detection using joint doc2vec and text features with PCA H Mejia, C Chipantiza, J Llumiquinga, IR Amaro, R Fonseca-Delgado International Conference on Advanced Research in Technologies, Information …, 2022 | 2 | 2022 |
| Deep gaussian processes and infinite neural networks for the analysis of EEG signals in Alzheimer's diseases K Román, A Cumbicus, S Infante, R Fonseca-Delgado Rev. Mat, 289-312, 2022 | 1 | 2022 |
| RAPL: A domain specific language for resource allocation of indivisible goods I Pineda, C Zhunio, F Camacho, R Fonseca-Delgado Conference on Information and Communication Technologies of Ecuador, 479-492, 2020 | 1 | 2020 |
| Alzheimer's disease diagnosis system using electroencephalograms and machine learning models P Martínez-Arias, R Fonseca-Delgado, G Salum, I Amaro-Martín Revista Ibérica de Sistemas e Tecnologias de Informação, 275-288, 2020 | 1 | 2020 |
| Modeling diversity in ensembles for time-series prediction based on self-organizing maps R Fonseca-Delgado, P Gómez-Gil Advances in Self-Organizing Maps and Learning Vector Quantization …, 2016 | 1 | 2016 |
