Isabel A. Nepomuceno-Chamorro

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 15

Top Topics

Gene Expression

Biomarker Discovery

Semantic Similarity

Machine Learning

Top Venues

J. Comput. Syst. Sci.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Halal Abdulrahman Ahmed, Juan A. Nepomuceno, Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro
Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks. SOCO (2) (2023)
Javier Solís-García, Belén Vega-Márquez, Juan A. Nepomuceno, José Cristóbal Riquelme Santos, Isabel A. Nepomuceno-Chamorro
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. Appl. Intell. 53 (24) (2023)
Pelin Gundogdu, Miriam Payá-Milans, Inmaculada Alamo-Alvarez, Isabel A. Nepomuceno-Chamorro, Joaquín Dopazo, Carlos Loucera
Cell-Level Pathway Scoring Comparison with a Biologically Constrained Variational Autoencoder. CMSB (2023)
Alfonso E. Márquez Chamorro, Isabel A. Nepomuceno-Chamorro, Manuel Resinas, Antonio Ruiz-Cortés
Updating Prediction Models for Predictive Process Monitoring. CAiSE (2022)
Belén Vega-Márquez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro
Generation of Synthetic Data with Conditional Generative Adversarial Networks. Log. J. IGPL 30 (2) (2022)
Ramón Díaz-Uriarte, Elisa Gómez de Lope, Rosalba Giugno, Holger Fröhlich, Petr V. Nazarov, Isabel A. Nepomuceno-Chamorro, Armin Rauschenberger, Enrico Glaab
Ten quick tips for biomarker discovery and validation analyses using machine learning. PLoS Comput. Biol. 18 (8) (2022)
Belén Vega-Márquez, Javier Solí-s-Garcí-a, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero
An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting. SOCO (2021)
Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero, José C. Riquelme
OCEAn: Ordinal classification with an ensemble approach. Inf. Sci. 580 (2021)
Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, José Luis Galván-Rojas, Belén Vega-Márquez, Cristina Rubio-Escudero
Using prior knowledge in the inference of gene association networks. Appl. Intell. 50 (11) (2020)
Belén Vega-Márquez, Andrea Carminati, Natividad Jurado-Campos, Andrés Martín-Gómez, Lourdes Arce-Jiménez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro
Convolutional Neural Networks for Olive Oil Classification. IWINAC (2) (2019)
Belén Vega-Márquez, Cristina Rubio-Escudero, José C. Riquelme, Isabel A. Nepomuceno-Chamorro
Creation of Synthetic Data with Conditional Generative Adversarial Networks. SOCO (2019)
Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
Pairwise gene GO-based measures for biclustering of high-dimensional expression data. BioData Min. 11 (1) (2018)
María Martínez-Ballesteros, José Manuel García-Heredia, Isabel A. Nepomuceno-Chamorro, José Cristóbal Riquelme Santos
Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources. Inf. Fusion 36 (2017)
Isabel A. Nepomuceno-Chamorro
Model tree to improve the inference of gene association networks. AI Commun. 29 (4) (2016)
Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure. HAIS (2016)
Isabel A. Nepomuceno-Chamorro, Alfonso E. Márquez Chamorro, Jesús S. Aguilar-Ruiz
Building Transcriptional Association Networks in Cytoscape with RegNetC. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (4) (2015)
Juan A. Nepomuceno, Alicia Troncoso Lora, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
Integrating biological knowledge based on functional annotations for biclustering of gene expression data. Comput. Methods Programs Biomed. 119 (3) (2015)
María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José C. Riquelme
Discovering gene association networks by multi-objective evolutionary quantitative association rules. J. Comput. Syst. Sci. 80 (1) (2014)
Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
Synergies of genes in Alzheimer's disease. IWBBIO (2013)
Isabel A. Nepomuceno-Chamorro, Francisco Azuaje, Yvan Devaux, Petr V. Nazarov, Arnaud Muller, Jesús S. Aguilar-Ruiz, Daniel R. Wagner
Prognostic transcriptional association networks: a new supervised approach based on regression trees. Bioinform. 27 (2) (2011)
María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José C. Riquelme
Inferring gene-gene associations from Quantitative Association Rules. ISDA (2011)
Jesús S. Aguilar-Ruiz, Domingo S. Rodríguez-Baena, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro
CarGene: Characterisation of sets of genes based on metabolic pathways analysis. Int. J. Data Min. Bioinform. 5 (5) (2011)
Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, José C. Riquelme
Inferring gene regression networks with model trees. BMC Bioinform. 11 (2010)
Domingo S. Rodríguez-Baena, Norberto Díaz-Díaz, Jesús S. Aguilar-Ruiz, Isabel A. Nepomuceno-Chamorro
-Patterns from Gene Expression Data. IDEAL (2007)
Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Jorge García-Gutiérrez
A Deterministic Model to Infer Gene Networks from Microarray Data. IDEAL (2007)
Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
Neighborhood-Based Clustering of Gene-Gene Interactions. IDEAL (2006)
Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez
RESOP: Un método para la reducción de Bases de Datos. JISBD (2006)
Jesús S. Aguilar-Ruiz, Juan A. Nepomuceno, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro
A Measure for Data Set Editing by Ordered Projections. IEA/AIE (2006)
Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez, Jesús S. Aguilar-Ruiz
Databases Reduction Simultaneously by Ordered Projection. Discovery Science (2006)
Raúl Giráldez, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
An Approach to Reduce the Cost of Evaluation in Evolutionary Learning. IWANN (2005)
Isabel A. Nepomuceno-Chamorro
A Java Simulator for Membrane Computing. J. Univers. Comput. Sci. 10 (5) (2004)