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Belén Vega-Márquez

Observed names: Beatriz Pontes, Belén Vega-Marquez, Vega, Belén, Vega-Márquez, Belén
ORCID: 0000-0002-2466-6486
Observed ORCID: 0000-0002-2466-6486
OpenAlex ID: A5077117115
Deep Learning Techniques to Improve the Performance of Olive Oil Classification
2020 · Belén Vega-Márquez, Isabel Nepomuceno-Chamorro, et al. · Frontiers in Chemistry · 46
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Creation of Synthetic Data with Conditional Generative Adversarial Networks
2019 · Belén Vega-Márquez, Cristina Rubio-Escudero, et al. · Advances in intelligent systems and computing · 46
Synthetic Data Generation for Healthcare: Exploring Generative Adversarial Networks Variants for Medical Tabular Data
2025 · Halal Abdulrahman Ahmed, Juan A. Nepomuceno, et al. · International Journal of Data Science and Analytics · 43
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Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models
2024 · Morteza Aldarraji, Belén Vega-Márquez, et al. · Heliyon · 30
Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market
2021 · Belén Vega-Márquez, Cristina Rubio-Escudero, et al. · Applied Sciences · 26
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Guidelines to Build PLS-DA Chemometric Classification Models Using a GC-IMS Method: Dry-Cured Ham as a Case of Study
2022 · Andrés Martín-Gómez, Pablo Rodríguez-Hernández, et al. · Talanta Open · 25
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OCEAn: Ordinal classification with an ensemble approach
2021 · Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, et al. · Information Sciences · 20
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Generation of Synthetic Data with Conditional Generative Adversarial Networks
2020 · Belén Vega-Márquez, Cristina Rubio-Escudero, et al. · Logic Journal of IGPL · 18
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study
2023 · Javier Solís-García, Belén Vega-Márquez, et al. · Applied Intelligence · 13
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Convolutional Neural Networks for Olive Oil Classification
2019 · Belén Vega-Márquez, Andrea Carminati, et al. · Lecture notes in computer science · 9
CoSTI: Consistency models for (a faster) spatio-temporal imputation
2025 · Javier Solís-García, Belén Vega-Márquez, et al. · Knowledge-Based Systems · 3
A flexible framework for sepsis prediction: Standardizing data management and imputation in time series using MIMIC-III
2025 · Javier Solís-García, Jose E. Sánchez-López, et al. · SoftwareX · 2
TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models
2024 · Solís-García, Javier, Vega-Márquez, Belén, et al. · arXiv (Cornell University) · 2
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Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks
2023 · Halal Abdulrahman Ahmed, Juan A. Nepomuceno, et al. · Lecture notes in networks and systems · 2
Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia
2023 · Belén Vega-Márquez, Juan Pardo-Martínez, et al. · Lecture notes in networks and systems · 2
Using prior knowledge in the inference of gene association networks
2020 · Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, et al. · Applied Intelligence · 2
An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting
2021 · Belén Vega-Márquez, Javier Solí­s-Garcí­a, et al. · Advances in intelligent systems and computing · 1
CarbonAI: curated datasets and 639,000-scenario emission distribution (release 10.0.0)
2026 · Jiménez de la Fuente, Antonio Luis, Sanchez Lopez, Jose Enrique, et al. · Zenodo (CERN European Organization for Nuclear Research)
Optimizing power and performance in time series forecasting: A feature selection approach for green computing
2026 · F. Javier Galán-Sales, M.J. Jiménez-Navarro, et al. · Sustainable Computing Informatics and Systems
Application of Machine Learning Techniques to the Prediction of Hospital Mortality: Beyond Conventional Clinical Models
2026 · Pedro López Ruz, Belén Vega-Márquez, et al. · Lecture notes in computer science
Improving Liver Graft Decision-Making Through AI: Validation with Internal and National Datasets
2026 · Miguel Cuende, Beatriz Pontes, et al. · Lecture notes in computer science
Integrative Analysis of Breast Cancer Using Multi-omics Latent Representations
2026 · Yasmine Lakouifat Darkaoui, Beatriz Pontes, et al. · Lecture notes in computer science
Context-Aware AI Agents for Clinical Dialogue Assistance Through Large Language Models
2026 · Rodrigo Naranjo Pozas, Pablo Doblado Mendoza, et al. · Lecture notes in computer science
Towards an Explainability Agent: Leveraging LLMs to Interpret LIME Outputs
2026 · Belén Vega-Márquez, Cristina Rubio-Escudero, et al. · Lecture notes in computer science
Optimization of Denoising Autoencoders with Progressive Learning Strategies for ScRNA-Seq Data
2026 · Francisco Javier Franco-Ruiz, Sara Fernandez-Malvido, et al. · Lecture notes in computer science
Works count: 32
Citation count: 290
H-index: 9
I10-index: 9
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