Isabel A. Nepomuceno-Chamorro

According to our database, Isabel A. Nepomuceno-Chamorro authored at least 31 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2023

Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks.

Halal Abdulrahman Ahmed, Juan A. Nepomuceno, Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

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

Proceedings of the Computational Methods in Systems Biology, 2023

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

Generation of Synthetic Data with Conditional Generative Adversarial Networks.

Belén Vega-Márquez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro

Log. J. IGPL, 2022

Updating Prediction Models for Predictive Process Monitoring.

Alfonso E. Márquez Chamorro, Isabel A. Nepomuceno-Chamorro, Manuel Resinas, Antonio Ruiz-Cortés

Proceedings of the Advanced Information Systems Engineering, 2022

2021

OCEAn: Ordinal classification with an ensemble approach.

Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero, José C. Riquelme

Inf. Sci., 2021

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

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.

Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, José Luis Galván-Rojas, Belén Vega-Márquez, Cristina Rubio-Escudero

Appl. Intell., 2020

2019

Creation of Synthetic Data with Conditional Generative Adversarial Networks.

Belén Vega-Márquez, Cristina Rubio-Escudero, José C. Riquelme, Isabel A. Nepomuceno-Chamorro

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.

Belén Vega-Márquez, Andrea Carminati, Natividad Jurado-Campos, Andrés Martín-Gómez, Lourdes Arce-Jiménez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro

Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

2018

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

2017

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

2016

Model tree to improve the inference of gene association networks.

Isabel A. Nepomuceno-Chamorro

AI Commun., 2016

Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure.

Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

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

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

2014

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

2013

Synergies of genes in Alzheimer's disease.

Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

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

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

Inferring gene-gene associations from Quantitative Association Rules.

María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José C. Riquelme

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010

Inferring gene regression networks with model trees.

Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, José C. Riquelme

BMC Bioinform., 2010

2007

Discovering <i>alpha</i> -Patterns from Gene Expression Data.

Domingo S. Rodríguez-Baena, Norberto Díaz-Díaz, Jesús S. Aguilar-Ruiz, Isabel A. Nepomuceno-Chamorro

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

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

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006

RESOP: Un método para la reducción de Bases de Datos.

Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez

Proceedings of the XI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2006), 2006

A Measure for Data Set Editing by Ordered Projections.

Jesús S. Aguilar-Ruiz, Juan A. Nepomuceno, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro

Proceedings of the Advances in Applied Artificial Intelligence, 2006

Neighborhood-Based Clustering of Gene-Gene Interactions.

Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Databases Reduction Simultaneously by Ordered Projection.

Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez, Jesús S. Aguilar-Ruiz

Proceedings of the Discovery Science, 9th International Conference, 2006

2005

An Approach to Reduce the Cost of Evaluation in Evolutionary Learning.

Raúl Giráldez, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2004

A Java Simulator for Membrane Computing.

Isabel A. Nepomuceno-Chamorro

J. Univers. Comput. Sci., 2004