Creation of synthetic data with conditional generative adversarial networks B Vega-Márquez, C Rubio-Escudero, JC Riquelme, ... 14th International Conference on Soft Computing Models in Industrial and …, 2020 | 41 | 2020 |
Deep learning techniques to improve the performance of olive oil classification B Vega-Márquez, I Nepomuceno-Chamorro, N Jurado-Campos, ... Frontiers in chemistry 7, 929, 2020 | 27 | 2020 |
Use of deep learning architectures for day-ahead electricity price forecasting over different time periods in the Spanish electricity market B Vega-Márquez, C Rubio-Escudero, IA Nepomuceno-Chamorro, ... Applied Sciences 11 (13), 6097, 2021 | 13 | 2021 |
OCEAn: Ordinal classification with an ensemble approach B Vega-Márquez, IA Nepomuceno-Chamorro, C Rubio-Escudero, ... Information Sciences 580, 221-242, 2021 | 11 | 2021 |
Generation of synthetic data with conditional generative adversarial networks B Vega-Márquez, C Rubio-Escudero, I Nepomuceno-Chamorro Logic Journal of the IGPL 30 (2), 252-262, 2022 | 7 | 2022 |
Convolutional Neural Networks for Olive Oil Classification B Vega-Márquez, A Carminati, N Jurado-Campos, A Martín-Gómez, ... International Work-Conference on the Interplay Between Natural and …, 2019 | 5 | 2019 |
Guidelines to build PLS-DA chemometric classification models using a GC-IMS method: Dry-cured ham as a case of study A Martín-Gómez, P Rodríguez-Hernández, MJ Cardador, ... Talanta Open 7, 100175, 2023 | 3 | 2023 |
An extensive comparative between univariate and multivariate deep learning models in day-ahead electricity price forecasting B Vega-Márquez, J Solís-García, IA Nepomuceno-Chamorro, ... 16th International Conference on Soft Computing Models in Industrial and …, 2022 | 2 | 2022 |
Using prior knowledge in the inference of gene association networks IA Nepomuceno-Chamorro, JA Nepomuceno, JL Galván-Rojas, ... Applied Intelligence 50, 3882-3893, 2020 | 2 | 2020 |
A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science models B Vega-Márquez, J Solís-García, IA Nepomuceno-Chamorro, ... Logic Journal of the IGPL, jzae034, 2024 | | 2024 |
Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models M Aldarraji, B Vega-Márquez, B Pontes, B Mahmood, JC Riquelme Heliyon, 2024 | | 2024 |
Desarrollo de habilidades en programación a través de proyectos individuales: Potenciando la autonomía y la creatividad del estudiante. B Vega Márquez, B Pontes Balanza, JM Luna Romera Dykinson, 2024 | | 2024 |
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study J Solís-García, B Vega-Márquez, JA Nepomuceno, JC Riquelme-Santos, ... Applied Intelligence 53 (24), 30691-30705, 2023 | | 2023 |
Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks HA Ahmed, JA Nepomuceno, B Vega-Márquez, ... International Conference on Soft Computing Models in Industrial and …, 2023 | | 2023 |
Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia B Vega-Márquez, J Pardo-Martínez, MM Villegas-Oliva, JC Riquelme International Conference on Soft Computing Models in Industrial and …, 2023 | | 2023 |
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation MJ Jiménez-Navarro, B Vega-Márquez, JM Luna-Romera, ... Computational Intelligence in Security for Information Systems Conference …, 2023 | | 2023 |
Check for Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation MJ Jiménez-Navarro, B Vega-Márquez, JM Luna-Romera, ... International Joint Conference 16th International Conference on …, 2023 | | 2023 |
Metodología ensemble para clasificación ordinal y aplicación en el control de calidad del aceite de oliva B Vega Márquez | | 2022 |
G-Tigre: A New Generative Framework for Multivariate Time Series Imputation by Graph Neural Networks J Solis-Garcia, B Vega-Márquez, JA Nepomuceno, ... Available at SSRN 4703695, 0 | | |