A Java Simulator for Membrane Computing. - Isabel A. Nepomuceno-Chamorro (J. Univers. Comput. Sci., 2004)

An Approach to Reduce the Cost of Evaluation in Evolutionary Learning. - Raúl Giráldez; Norberto Díaz-Díaz; Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz (IWANN, 2005)

Databases Reduction Simultaneously by Ordered Projection. - Isabel A. Nepomuceno-Chamorro; Juan A. Nepomuceno; Roberto Ruiz Sánchez; Jesús S. Aguilar-Ruiz (Discovery Science, 2006)

Neighborhood-Based Clustering of Gene-Gene Interactions. - Norberto Díaz-Díaz; Domingo S. Rodríguez-Baena; Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz (IDEAL, 2006)

A Measure for Data Set Editing by Ordered Projections. - Jesús S. Aguilar-Ruiz; Juan A. Nepomuceno; Norberto Díaz-Díaz; Isabel A. Nepomuceno-Chamorro (IEA/AIE, 2006)

RESOP: Un método para la reducción de Bases de Datos. - Isabel A. Nepomuceno-Chamorro; Juan A. Nepomuceno; Roberto Ruiz Sánchez (JISBD, 2006)

A Deterministic Model to Infer Gene Networks from Microarray Data. - Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz; Norberto Díaz-Díaz; Domingo S. Rodríguez-Baena; Jorge García-Gutiérrez (IDEAL, 2007)

Discovering alpha -Patterns from Gene Expression Data. - Domingo S. Rodríguez-Baena; Norberto Díaz-Díaz; Jesús S. Aguilar-Ruiz; Isabel A. Nepomuceno-Chamorro (IDEAL, 2007)

Inferring gene regression networks with model trees. - Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz; José C. Riquelme (BMC Bioinform., 2010)

Inferring gene-gene associations from Quantitative Association Rules. - María Martínez-Ballesteros; Isabel A. Nepomuceno-Chamorro; José C. Riquelme (ISDA, 2011)

Prognostic transcriptional association networks: a new supervised approach based on regression trees. - Isabel A. Nepomuceno-Chamorro; Francisco Azuaje; Yvan Devaux; Petr V. Nazarov; Arnaud Muller; Jesús S. Aguilar-Ruiz; Daniel R. Wagner (Bioinform., 2011)

CarGene: Characterisation of sets of genes based on metabolic pathways analysis. - Jesús S. Aguilar-Ruiz; Domingo S. Rodríguez-Baena; Norberto Díaz-Díaz; Isabel A. Nepomuceno-Chamorro (Int. J. Data Min. Bioinform., 2011)

Synergies of genes in Alzheimer's disease. - Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz (IWBBIO, 2013)

Discovering gene association networks by multi-objective evolutionary quantitative association rules. - María Martínez-Ballesteros; Isabel A. Nepomuceno-Chamorro; José C. Riquelme (J. Comput. Syst. Sci., 2014)

Integrating biological knowledge based on functional annotations for biclustering of gene expression data. - Juan A. Nepomuceno; Alicia Troncoso Lora; Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz (Comput. Methods Programs Biomed., 2015)

Building Transcriptional Association Networks in Cytoscape with RegNetC. - Isabel A. Nepomuceno-Chamorro; Alfonso E. Márquez Chamorro; Jesús S. Aguilar-Ruiz (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure. - Juan A. Nepomuceno; Alicia Troncoso; Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz (HAIS, 2016)

Model tree to improve the inference of gene association networks. - Isabel A. Nepomuceno-Chamorro (AI Commun., 2016)

Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources. - María Martínez-Ballesteros; José Manuel García-Heredia; Isabel A. Nepomuceno-Chamorro; José Cristóbal Riquelme Santos (Inf. Fusion, 2017)

Pairwise gene GO-based measures for biclustering of high-dimensional expression data. - Juan A. Nepomuceno; Alicia Troncoso; Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz (BioData Min., 2018)

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)

Updating Prediction Models for Predictive Process Monitoring. - Alfonso E. Márquez Chamorro; Isabel A. Nepomuceno-Chamorro; Manuel Resinas; Antonio Ruiz-Cortés (CAiSE, 2022)

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

Ten quick tips for biomarker discovery and validation analyses using machine learning. - Ramón Díaz-Uriarte; Elisa Gómez de Lope; Rosalba Giugno; Holger Fröhlich; Petr V. Nazarov; Isabel A. Nepomuceno-Chamorro; Armin Rauschenberger; Enrico Glaab (PLoS Comput. Biol., 2022)

Cell-Level Pathway Scoring Comparison with a Biologically Constrained Variational Autoencoder. - Pelin Gundogdu; Miriam Payá-Milans; Inmaculada Alamo-Alvarez; Isabel A. Nepomuceno-Chamorro; Joaquín Dopazo; Carlos Loucera (CMSB, 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)

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)