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ORCIDIsabel A. Nepomuceno-Chamorro
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- affiliation: University of Seville, Spain
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2020 – today
- 2023
[j15]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): 30691-30705 (2023)- [c16]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: 62-77 - [c15]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: 111-120 - 2022
- [j14]Belén Vega-Márquez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro:
Generation of Synthetic Data with Conditional Generative Adversarial Networks. Log. J. IGPL 30(2): 252-262 (2022) - [j13]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) - [c14]Alfonso E. Márquez Chamorro, Isabel A. Nepomuceno-Chamorro, Manuel Resinas, Antonio Ruiz-Cortés:
Updating Prediction Models for Predictive Process Monitoring. CAiSE 2022: 304-318 - 2021
- [j12]Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero, José C. Riquelme:
OCEAn: Ordinal classification with an ensemble approach. Inf. Sci. 580: 221-242 (2021) - [c13]Belén Vega-Márquez, Javier Solís-García, 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: 675-684 - 2020
- [j11]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): 3882-3893 (2020)
2010 – 2019
- 2019
- [c12]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: 137-145 - [c11]Belén Vega-Márquez, Cristina Rubio-Escudero, José C. Riquelme, Isabel A. Nepomuceno-Chamorro:
Creation of Synthetic Data with Conditional Generative Adversarial Networks. SOCO 2019: 231-240 - 2018
- [j10]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): 4:1-4:19 (2018) - 2017
- [j9]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: 114-129 (2017) - 2016
- [j8]Isabel A. Nepomuceno-Chamorro:
Model tree to improve the inference of gene association networks. AI Commun. 29(4): 547-549 (2016) - [c10]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: 685-693 - 2015
- [j7]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): 163-180 (2015) - [j6]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): 823-824 (2015) - 2014
- [j5]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): 118-136 (2014) - 2013
- [c9]Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz:
Synergies of genes in Alzheimer's disease. IWBBIO 2013: 51-53 - 2011
- [j4]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): 252-258 (2011) - [j3]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): 558-573 (2011) - [c8]María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José C. Riquelme:
Inferring gene-gene associations from Quantitative Association Rules. ISDA 2011: 1241-1246 - 2010
- [j2]Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, José C. Riquelme:
Inferring gene regression networks with model trees. BMC Bioinform. 11: 517 (2010)
2000 – 2009
- 2007
- [c7]Domingo S. Rodríguez-Baena, Norberto Díaz-Díaz, Jesús S. Aguilar-Ruiz, Isabel A. Nepomuceno-Chamorro:
Discovering alpha -Patterns from Gene Expression Data. IDEAL 2007: 831-839 - [c6]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: 850-859 - 2006
- [c5]Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez, Jesús S. Aguilar-Ruiz:
Databases Reduction Simultaneously by Ordered Projection. Discovery Science 2006: 337-341 - [c4]Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz:
Neighborhood-Based Clustering of Gene-Gene Interactions. IDEAL 2006: 1111-1120 - [c3]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: 1339-1348 - [c2]Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez:
RESOP: Un método para la reducción de Bases de Datos. JISBD 2006: 261-270 - 2005
- [c1]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: 804-811 - 2004
- [j1]Isabel A. Nepomuceno-Chamorro:
A Java Simulator for Membrane Computing. J. Univers. Comput. Sci. 10(5): 620-629 (2004)
Coauthor Index
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