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)

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)

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)