Convolutional Neural Networks for Olive Oil Classification. - Belén Vega-Márquez; Andrea Carminati; Natividad Jurado-Campos; Andrés Martín-Gómez; Lourdes Arce-Jiménez; Cristina Rubio-Escudero; Isabel A. Nepomuceno-Chamorro (IWINAC (2), 2019)

Creation of Synthetic Data with Conditional Generative Adversarial Networks. - Belén Vega-Márquez; Cristina Rubio-Escudero; José C. Riquelme; Isabel A. Nepomuceno-Chamorro (SOCO, 2019)

Using prior knowledge in the inference of gene association networks. - Isabel A. Nepomuceno-Chamorro; Juan A. Nepomuceno; José Luis Galván-Rojas; Belén Vega-Márquez; Cristina Rubio-Escudero (Appl. Intell., 2020)

An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting. - Belén Vega-Márquez; Javier Solís-García; Isabel A. Nepomuceno-Chamorro; Cristina Rubio-Escudero (SOCO, 2021)

OCEAn: Ordinal classification with an ensemble approach. - Belén Vega-Márquez; Isabel A. Nepomuceno-Chamorro; Cristina Rubio-Escudero; José C. Riquelme (Inf. Sci., 2021)

Generation of Synthetic Data with Conditional Generative Adversarial Networks. - Belén Vega-Márquez; Cristina Rubio-Escudero; Isabel A. Nepomuceno-Chamorro (Log. J. IGPL, 2022)

Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. - Manuel Jesús Jiménez-Navarro; Belén Vega-Márquez; José María Luna-Romera; Manuel Carranza-García; María Martínez-Ballesteros (CISIS-ICEUTE, 2023)

Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks. - Halal Abdulrahman Ahmed; Juan A. Nepomuceno; Belén Vega-Márquez; Isabel A. Nepomuceno-Chamorro (SOCO (2), 2023)

Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia. - Belén Vega-Márquez; Juan Pardo-Martínez; María del Mar Villegas-Oliva; José C. Riquelme (SOCO (1), 2023)

Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. - Javier Solís-García; Belén Vega-Márquez; Juan A. Nepomuceno; José Cristóbal Riquelme Santos; Isabel A. Nepomuceno-Chamorro (Appl. Intell., 2023)

Time Series Analysis of Iraq's Energy Sector: Production, Consumption, and Trends. - José Delgado; Morteza Aldarraji; Belén Vega-Márquez; Beatriz Pontes (SOCO (1), 2024)

TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models. - Javier Solís-García; Belén Vega-Márquez; Juan A. Nepomuceno; Isabel A. Nepomuceno-Chamorro (CoRR, 2024)

A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science models. - Belén Vega-Márquez; Javier Solís-García; Isabel A. Nepomuceno-Chamorro; Cristina Rubio-Escudero (Log. J. IGPL, 2024)

CoSTI: Consistency models for (a faster) spatio-temporal imputation. - Javier Solís-García; Belén Vega-Márquez; Juan A. Nepomuceno; Isabel A. Nepomuceno-Chamorro (Knowl. Based Syst., 2025)

A flexible framework for sepsis prediction: Standardizing data management and imputation in time series using MIMIC-III. - Javier Solís-García; Jose E. Sánchez-López; Belén Vega-Márquez; Isabel A. Nepomuceno-Chamorro (SoftwareX, 2025)