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ORCIDRigoberto Fonseca
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2020 – today
- 2024
[j7]Dustin Carrión-Ojeda, Paola Martínez-Arias
, Rigoberto Fonseca-Delgado, Israel Pineda, Héctor Mejía-Vallejo:
Evaluation of features and channels of electroencephalographic signals for biometric systems. EURASIP J. Adv. Signal Process. 2024(1): 58 (2024)- [c8]Darío S. Cabezas, Rigoberto Fonseca-Delgado, Iván Reyes-Chacón, Paulina Vizcaino-Imacaña, Manuel Eugenio Morocho Cayamcela:
Integrating a LLaMa-based Chatbot with Augmented Retrieval Generation as a Complementary Educational Tool for High School and College Students. ICSOFT 2024: 395-402 - 2023
- [j6]Israel Pineda, Dustin Carrión-Ojeda, Rigoberto Fonseca-Delgado:
RADENN: A Domain-Specific Language for the Rapid Development of Neural Networks. IEEE Access 11: 86727-86738 (2023) - [j5]Franklin Camacho, Rigoberto Fonseca-Delgado, Ramón Pino Pérez, Guido Tapia:
Generalized binary utility functions and fair allocations. Math. Soc. Sci. 121: 50-60 (2023) - 2022
- [c7]Hector Mejia, Carlos Chipantiza, Jose Llumiquinga, Isidro R. Amaro, Rigoberto Fonseca-Delgado:
COVID-19 Fake News Detection Using Joint Doc2Vec and Text Features with PCA. ARTIIS (1) 2022: 316-330 - 2021
- [j4]Juan Carlos Moreno-Rodríguez, Juan Carlos Atenco-Vázquez, Juan Manuel Ramírez-Cortés, René Arechiga-Martínez, Pilar Gómez-Gil, Rigoberto Fonseca-Delgado:
BIOMEX-DB: A Cognitive Audiovisual Dataset for Unimodal and Multimodal Biometric Systems. IEEE Access 9: 111267-111276 (2021) - [j3]Dustin Carrión-Ojeda, Rigoberto Fonseca-Delgado, Israel Pineda:
Analysis of factors that influence the performance of biometric systems based on EEG signals. Expert Syst. Appl. 165: 113967 (2021) - [j2]Dustin Carrión-Ojeda, Paola Martínez-Arias, Rigoberto Fonseca-Delgado, Israel Pineda:
EBAPy: A Python framework for analyzing the factors that have an influence in the performance of EEG-based applications. Softw. Impacts 8: 100062 (2021) - [i1]Franklin Camacho, Rigoberto Fonseca-Delgado, Ramón Pino Pérez, Guido Tapia:
Beyond identical utilities: buyer utility functions and fair allocations. CoRR abs/2109.08461 (2021) - 2020
- [j1]Juan Carlos Atenco-Vázquez, Juan Carlos Moreno-Rodríguez, René Arechiga-Martínez, Juan Manuel Ramírez-Cortés, Pilar Gómez-Gil, Rigoberto Fonseca-Delgado:
Digit-Based Speaker Verification in Spanish Using Hidden Markov Models. Res. Comput. Sci. 149(3): 19-27 (2020)
2010 – 2019
- 2019
- [c6]Pamela Flores, Jenny G. Torres, Rigoberto Fonseca-Delgado:
Design decisions under object-oriented approach: A thematic analysis from the abstraction point of view. CSERC 2019: 89-97 - [c5]Dustin Carrión-Ojeda, Héctor Mejía-Vallejo, Rigoberto Fonseca-Delgado, Pilar Gómez-Gil, Manuel Ramírez-Cortés:
A method for studying how much time of EEG recording is needed to have a good user identification. LA-CCI 2019: 1-6 - 2017
- [p2]Magdiel Jiménez-Guarneros, Pilar Gómez-Gil, Rigoberto Fonseca-Delgado, Manuel Ramírez-Cortés, Vicente Alarcón Aquino:
Long-Term Prediction of a Sine Function Using a LSTM Neural Network. Nature-Inspired Design of Hybrid Intelligent Systems 2017: 159-173 - 2016
- [c4]Rigoberto Fonseca-Delgado, Pilar Gómez-Gil:
Modeling Diversity in Ensembles for Time-Series Prediction Based on Self-Organizing Maps. WSOM 2016: 119-128 - 2014
- [c3]Rigoberto Fonseca-Delgado, Pilar Gómez-Gil:
Selecting and combining models with self-organizing maps for long-term forecasting of chaotic time series. IJCNN 2014: 2616-2623 - [p1]Rigoberto Fonseca, Pilar Gómez-Gil:
Temporal Validated Meta-Learning for Long-Term Forecasting of Chaotic Time Series Using Monte Carlo Cross-Validation. Recent Advances on Hybrid Approaches for Designing Intelligent Systems 2014: 353-367 - 2013
- [c2]Rigoberto Fonseca-Delgado, Pilar Gómez-Gil:
An assessment of ten-fold and Monte Carlo cross validations for time series forecasting. CCE 2013: 215-220 - 2011
- [c1]Rigoberto Fonseca, Pilar Gómez-Gil, Jesus A. Gonzalez, Iván Olmos:
Finding patterns in labeled graphs using spectrum feature vectors in a SOM network. IJCNN 2011: 1185-1190
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