Belén Vega-Márquez

Orcid: 0000-0002-2466-6486

According to our database1, Belén Vega-Márquez authored at least 10 papers between 2019 and 2023.

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

Timeline

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Links

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Bibliography

2023
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study.
Appl. Intell., December, 2023

Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation.
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

2022
Generation of Synthetic Data with Conditional Generative Adversarial Networks.
Log. J. IGPL, 2022

2021
OCEAn: Ordinal classification with an ensemble approach.
Inf. Sci., 2021

An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

2020
Using prior knowledge in the inference of gene association networks.
Appl. Intell., 2020

2019
Creation of Synthetic Data with Conditional Generative Adversarial Networks.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Convolutional Neural Networks for Olive Oil Classification.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019


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