Directorio
BELEN VEGA MARQUEZ
Categoría
Profesor Ayudante Doctor
Contacto
Correo electrónico
Departamento
Área
Lenguajes y Sistema Informáticos
Docencia
Investigación
Grupo de investigación
SISTEMAS INFORMATICOS (SISTEMAS INFORMATICOS)
Proyectos y contratos de investigación
Modelos híbridos adaptativos para predecir la producción de energías renovables solar y eólica (P18-RT-2778 - Investigador/a)
IA + IoT para la construcción de Servicios de Hogar Inteligente II (P011-21/E22 - Investigador/a)
Aprendizaje profundo y transferencia de aprendizaje eficientes para salud y movilidad conectada (PID2020-117954RB-C22 - Investigador/a)
Asistencia a congresos
Nepomuceno-Chamorro, Juan Antonio;Vega-Márquez, Belén;Nepomuceno-Chamorro, Isabel De Los Angeles:
Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca, Spain. 2023
Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca, Spain. 2023
Vega-Márquez, Belén;Riquelme-Santos, José Cristóbal:
Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca, Spain. 2023
Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca, Spain. 2023
Jiménez-navarro, Manuel J.;Vega-Márquez, Belén;Luna, José María;Manuel Carranza-García;M. Martínez-Ballesteros:
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. Ponencia en Congreso. 14th International Conference on EUropean Transnational Education . Salamanca. 2023
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. Ponencia en Congreso. 14th International Conference on EUropean Transnational Education . Salamanca. 2023
Vega-Márquez, Belén;Solís-garcía, Javier ;Nepomuceno-Chamorro, Isabel De Los Angeles;Rubio-Escudero, Cristina:
An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting. Ponencia en Congreso. 16th International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilba. 2021
An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting. Ponencia en Congreso. 16th International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilba. 2021
Vega-Márquez, Belén;Carminati, Andrea;Jurado-Campos, Natividad ;Martín, Andrés;Arce-Jiménez, Lourdes;Rubio-Escudero, Cristina;Nepomuceno-Chamorro, Isabel De Los Angeles:
Convolutional neural networks for olive oil classification. Ponencia en Congreso. International Work-Conference on the Interplay between Natural and Artificial Computation. Cabo de gata (Almería). España.. 2019
Convolutional neural networks for olive oil classification. Ponencia en Congreso. International Work-Conference on the Interplay between Natural and Artificial Computation. Cabo de gata (Almería). España.. 2019
Vega-Márquez, Belén;Rubio-Escudero, Cristina;Riquelme-Santos, José Cristóbal;Nepomuceno-Chamorro, Isabel De Los Angeles:
Creation of synthetic data with conditional generative adversarial networks. Ponencia en Congreso. 14th International Conference on Soft Computing Models in Industrial and Environmental Applications. Sevilla. 2019
Creation of synthetic data with conditional generative adversarial networks. Ponencia en Congreso. 14th International Conference on Soft Computing Models in Industrial and Environmental Applications. Sevilla. 2019
Artículos publicados
Martín, Andrés;Rodríguez Hernández, Pablo;Cardador-Dueñas, María José;Vega-Márquez, Belén;Rodríguez-Estévez, Vicente;Arce-Jiménez, Lourdes:
Guidelines to build PLS-DA chemometric classification models using a GC-IMS method: dry-cured ham as a case of study. Talanta Open. 2023. Vol: 7. Núm: 100175. 10.1016/j.talo.2022.100175.
Guidelines to build PLS-DA chemometric classification models using a GC-IMS method: dry-cured ham as a case of study. Talanta Open. 2023. Vol: 7. Núm: 100175. 10.1016/j.talo.2022.100175.
Vega-Márquez, Belén;Nepomuceno-Chamorro, Juan Antonio;Riquelme-Santos, José Cristóbal;Nepomuceno-Chamorro, Isabel De Los Angeles:
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. Applied Intelligence. 2023. 10.1007/s10489-023-05124-z.
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. Applied Intelligence. 2023. 10.1007/s10489-023-05124-z.
Vega-Márquez, Belén;Rubio-Escudero, Cristina;Nepomuceno-Chamorro, Isabel De Los Angeles:
Generation of Synthetic Data with Conditional Generative Adversarial Networks. Interest Group in Pure and Applied Logics. Logic Journal. 2022. 10.1093/jigpal/jzaa059.
Generation of Synthetic Data with Conditional Generative Adversarial Networks. Interest Group in Pure and Applied Logics. Logic Journal. 2022. 10.1093/jigpal/jzaa059.
Vega-Márquez, Belén;Rubio-Escudero, Cristina;Nepomuceno-Chamorro, Isabel De Los Angeles;Angel Arcos-Vargas:
Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market. Applied Sciences. 2021. Vol: 11. Núm: 13. 10.3390/app11136097.
Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market. Applied Sciences. 2021. Vol: 11. Núm: 13. 10.3390/app11136097.
Vega-Márquez, Belén;Nepomuceno-Chamorro, Isabel De Los Angeles;Rubio-Escudero, Cristina;Riquelme-Santos, José Cristóbal:
OCEAn: Ordinal classification with an ensemble approach. Information Sciences. 2021. Vol: 580. Pág. 221-242. 10.1016/j.ins.2021.08.081.
OCEAn: Ordinal classification with an ensemble approach. Information Sciences. 2021. Vol: 580. Pág. 221-242. 10.1016/j.ins.2021.08.081.
Vega-Márquez, Belén;Nepomuceno-Chamorro, Isabel De Los Angeles;Jurado-Campos, Natividad ;Rubio-Escudero, Cristina:
Deep learning techniques to improve the performance of olive oil classification. Frontiers in Chemistry. 2020. Vol: 7. Núm: 929. 10.3389/fchem.2019.00929.
Deep learning techniques to improve the performance of olive oil classification. Frontiers in Chemistry. 2020. Vol: 7. Núm: 929. 10.3389/fchem.2019.00929.
Nepomuceno-Chamorro, Isabel De Los Angeles;Nepomuceno-Chamorro, Juan Antonio;Galván, José Luis;Vega-Márquez, Belén;Rubio-Escudero, Cristina:
Using prior knowledge in the inference of gene association networks. Applied Intelligence. 2020. Vol: 50. Núm: 11. Pág. 3882-3893. 10.1007/s10489-020-01705-4.
Using prior knowledge in the inference of gene association networks. Applied Intelligence. 2020. Vol: 50. Núm: 11. Pág. 3882-3893. 10.1007/s10489-020-01705-4.
