NombreNepomuceno Chamorro, Isabel de los Ángeles
DepartamentoLenguajes y Sistemas Informáticos
Área de conocimientoLenguajes y Sistemas Informáticos
Categoría profesionalProfesora Titular de Universidad
Correo electrónicoSolicitar
           
  • Nº publicaciones

    41

  • Nº visitas

    2333

  • Nº descargas

    3511


 

Artículo
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Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study

Solís García, Javier; Vega Márquez, Belén; Nepomuceno Chamorro, Juan Antonio; Riquelme Santos, José Cristóbal; Nepomuceno Chamorro, Isabel de los Ángeles (Springer, 2023)
Sepsis is a life-threatening condition whose early recognition is key to improving outcomes for patients in intensive care ...
Tesis Doctoral
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Metodología ensemble para clasificación ordinal y aplicación en el control de calidad del aceite de oliva

Vega Márquez, Belén; Nepomuceno Chamorro, Isabel de los Ángeles; Rubio Escudero, Cristina (2022)
A día de hoy nos encontramos ante un nuevo paradigma que está revolucionando completamente la forma en la que vemos las ...
Artículo
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Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data

Gundogdu, Pelin; Loucera, Carlos; Alamo Álvarez, Inmaculada; Dopazo, Joaquín; Nepomuceno Chamorro, Isabel de los Ángeles (BMC, 2022)
Background: Single-cell RNA sequencing (scRNA-seq) data provide valuable insights into cellular heterogeneity which is ...
Ponencia
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Updating Prediction Models for Predictive Process Monitoring

Márquez Chamorro, Alfonso Eduardo; Nepomuceno Chamorro, Isabel de los Ángeles; Resinas Arias de Reyna, Manuel; Ruiz Cortés, Antonio (Springer, 2022)
Predictive monitoring is a key activity in some Process Aware Information Systems (PAIS) such as information systems ...
Artículo
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Generation of synthetic data with Conditional Generative Adversarial Networks

Vega Márquez, Belén; Rubio Escudero, Cristina; Nepomuceno Chamorro, Isabel de los Ángeles (Oxford University Press, 2022)
The generation of synthetic data is becoming a fundamental task in the daily life of any organization due to the new ...
Artículo
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A data mining based clinical decision support system for survival in lung cancer

Pontes Balanza, Beatriz; Núñez, Francisco; Rubio Escudero, Cristina; Moreno, Alberto; Nepomuceno Chamorro, Isabel de los Ángeles; Moreno, Jesús; Cacicedo, Jon; Praena Fernández, Juan Manuel; Escobar Rodríguez, Germán Antonio; Parra, Carlos; Delgado León, Blas David; Rivin del Campo, Eleonor; Couñago, Felipe; Riquelme Santos, José Cristóbal; López Guerra, José Luis (Via Médica Journals, 2021)
Background: A clinical decision support system (CDSS) has been designed to predict the outcome (overall survival) by ...
Artículo
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OCEAn: Ordinal classification with an ensemble approach

Vega Márquez, Belén; Nepomuceno Chamorro, Isabel de los Ángeles; Rubio Escudero, Cristina; Riquelme Santos, José Cristóbal (Elsevier, 2021)
Generally, classification problems catalog instances according to their target variable with out considering the relation ...
Artículo
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Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market

Vega Márquez, Belén; Rubio Escudero, Cristina; Nepomuceno Chamorro, Isabel de los Ángeles; Arcos Vargas, Ángel (MDPI, 2021)
The importance of electricity in people’s daily lives has made it an indispensable commodity in society. In electricity ...
Artículo
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Ten quick tips for biomarker discovery and validation analyses using machine learning

Díaz Uriarte, Ramón; Gómez de Lope, Elisa; Giugno, Rosalba; Fröhlich, Holger; Nazarov, Petr V.; Nepomuceno Chamorro, Isabel de los Ángeles; Rauschenberger, , Armin; Glaab, Enrico (PLOS, 2020)
Artículo
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Deep Learning Techniques to Improve the Performance of Olive Oil Classification

Vega Márquez, Belén; Nepomuceno Chamorro, Isabel de los Ángeles; Jurado Campos, Natividad; Rubio Escudero, Cristina (Frontiers Editorial, 2020)
The olive oil assessment involves the use of a standardized sensory analysis according to the “panel test” method. However, ...
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Using prior knowledge in the inference of gene association networks

Nepomuceno Chamorro, Isabel de los Ángeles; Nepomuceno Chamorro, Juan Antonio; Galván Rojas, José Luis; Vega Márquez, Belén; Rubio Escudero, Cristina (Springer, 2020)
Traditional computational techniques are recently being improved with the use of prior biological knowledge from open ...
Ponencia
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Convolutional Neural Networks for Olive Oil Classification

Vega Márquez, Belén; Carminati, Andrea; Jurado Campos, Natividad; Martín Gómez, Andrés; Arce Jiménez, Lourdes; Rubio Escudero, Cristina; Nepomuceno Chamorro, Isabel de los Ángeles (Springer, 2019)
The analysis of the quality of olive oil is a task that is hav-ing a lot of impact nowadays due to the large frauds that ...
Ponencia
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Creation of Synthetic Data with Conditional Generative Adversarial Networks

Vega Márquez, Belén; Rubio Escudero, Cristina; Riquelme Santos, José Cristóbal; Nepomuceno Chamorro, Isabel de los Ángeles (Springer, 2019)
The generation of synthetic data is becoming a fundamental task in the daily life of any organization due to new protection ...
Artículo
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Pairwise gene GO-based measures for biclustering of high-dimensional expression data

Nepomuceno Chamorro, Juan Antonio; Troncoso Lora, Alicia; Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador (BMC: part of Springer Verlag, 2018)
Background: Biclustering algorithms search for groups of genes that share the same behavior under a subset of samples in ...
Artículo
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PO-0859: Project S32: decision support system for lung cancer patients

López Guerra, José Luis; Pontes Balanza, Beatriz; Moreno, A.; Rubio Escudero, Cristina; Núñez, F.J.; Nepomuceno Chamorro, Isabel de los Ángeles; Moreno, J.; Cacicedo, J.; Praena Fernández, Juan Manuel; Escobar Rodríguez, Germán Antonio; Parra, C.; Riquelme Santos, José Cristóbal (Elsevier, 2018)
Artículo
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Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources

Martínez Ballesteros, María del Mar; García Heredia, José Manuel; Nepomuceno Chamorro, Isabel de los Ángeles; Riquelme Santos, José Cristóbal (Elsevier, 2017)
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence ex pected to rise over ...
Artículo
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Data Mining Techniques Applied to Hydrogen Lactose Breath Test

Rubio Escudero, Cristina; Valverde Fernández, Justo; Nepomuceno Chamorro, Isabel de los Ángeles; Pontes Balanza, Beatriz; Hernández Mendoza, Yoedusvany; Rodríguez Herrera, Alfonso (Public Library of Science, 2017)
n this work, we present the results of applying data mining techniques to hydrogen breath test data. Disposal of H2 gas ...
Ponencia
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Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure

Nepomuceno Chamorro, Juan Antonio; Troncoso Lora, Alicia; Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador (Springer, 2016)
Biclustering is an unsupervised machine learning technique that simultaneously clusters genes and conditions in gene ...
Artículo
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Ethnic difference in risk of toxicity in prostate cancer patients treated with dynamic arc radiation therapy

López Guerra, José Luis; Matute, Raúl; Puebla, Fernando; Sánchez Reyes, Alberto; Pontes Balanza, Beatriz; Rubio Escudero, Cristina; Nepomuceno Chamorro, Isabel de los Ángeles; Acevedo, Catalina; Isa, Nicolás; Lengua, Rafael; Praena Fernández, Juan Manuel; Rivin del Campo, Eleonor; Ortíz, María José; Azinovic, Ignacio (SAGE Publications, 2015)
Aims and background: The objective of this study was to assess the influence of ethnicity on toxicity in patients treated ...
Artículo
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Integrating biological knowledge based on functional annotations for biclustering of gene expression data

Nepomuceno Chamorro, Juan Antonio; Troncoso Lora, Alicia; Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador (Elsevier, 2015)
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption ...
Ponencia
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Inferencia de Redes de Asociación de Genes Guiada por Similitud Semántica

Galván Rojas, José Luis; Nepomuceno Chamorro, Isabel de los Ángeles; Nepomuceno Chamorro, Juan Antonio; Riquelme Santos, José Cristóbal (Asociación Española para la Inteligencia Artificial, 2015)
En este trabajo se propone el uso de conocimiento a priori como heurística en métodos de inferencia de redes de genes a ...
Artículo
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Building Transcriptional Association Networks in Cytoscape with RegNetC

Nepomuceno Chamorro, Isabel de los Ángeles; Márquez Chamorro, Alfonso Eduardo; Aguilar Ruiz, Jesús Salvador (IEEE Computer Society, 2015)
The Regression Network plugin for Cytoscape (RegNetC) implements the RegNet algorithm for the inference of transcriptional ...
Artículo
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Discovering gene association networks by multi-objective evolutionary quantitative association rules

Martínez Ballesteros, María del Mar; Nepomuceno Chamorro, Isabel de los Ángeles; Riquelme Santos, José Cristóbal (Elsevier, 2014)
In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the ...
Ponencia
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PO-0723: Data mining tools for predicting the risk of toxicity in prostate cancer patients treated with radiation therapy

Riquelme Santos, José Cristóbal; López Guerra, José Luis; Matute, Raúl; Pontes Balanza, Beatriz; Rubio Escudero, Cristina; Nepomuceno Chamorro, Isabel de los Ángeles; Puebla, F.; Praena Fernández, Juan Manuel; Ortiz Gordillo, María José; Azinovic, Ignacio (Elsevier, 2014)
Artículo
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Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models

Rodius, Sophie; Nazarov, Petr V.; Nepomuceno Chamorro, Isabel de los Ángeles; Jeanty, Céline; González Rosa, Juan Manuel; Ibberson, Mark; Benites da Costa, Ricardo M.; Xenarios, Ioannis; Mercader, Nadia; Azuaje, Francisco (BMC, 2014)
Background: Zebrafish is a clinically-relevant model of heart regeneration. Unlike mammals, it has a remarkable heart ...
Ponencia
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Synergies of genes in Alzheimer’s disease

Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador (Universidad de Granada, 2013)
Ponencia
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Diez años innovando en la enseñanza de los fundamentos de la programación: resultados y conclusiones

García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal; González Romano, José Mariano; Nepomuceno Chamorro, Isabel de los Ángeles (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2012)
Este artículo presenta los cambios experimentados en las asignaturas relacionadas con la introducción a la programación, ...
Ponencia
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Metodología de evaluación continua en la asignatura de Fundamentos de Programación: un cambio de evaluación enfocado al desarrollo de competencias

Nepomuceno Chamorro, Isabel de los Ángeles; Nepomuceno Chamorro, Juan Antonio; Reina Quintero, Antonia María; García Gutiérrez, Jorge (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2012)
El marco del Espacio Europeo de Educación Supe rior (EEES) y la implantación del Sistema de Crédito Europeo (ECTS) han ...
Artículo
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CarGene: Characterisation of sets of genes based on metabolic pathways analysis

Aguilar Ruiz, Jesús Salvador; Rodríguez Baena, Domingo S.; Díaz Díaz, Norberto; Nepomuceno Chamorro, Isabel de los Ángeles (Inderscience, 2011)
The great amount of biological information provides scientists with an incomparable framework for testing the results of ...
Capítulo de Libro
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Inferring Gene-Gene Associations from Quantitative Association Rules

Martínez Ballesteros, María del Mar; Nepomuceno Chamorro, Isabel de los Ángeles; Riquelme Santos, José Cristóbal (IEEE, 2011)
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The ...
Artículo
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Prognostic transcriptional association networks: a new supervised approach based on regression trees

Nepomuceno Chamorro, Isabel de los Ángeles; Azuaje, Francisco; Devaux, Yvan; Nazarov, Petr V.; Muller, Arnaud; Aguilar Ruiz, Jesús Salvador; Wagner, Daniel R. (Oxford Academic, 2011)
Motivation: The application of information encoded in molecular networks for prognostic purposes is a crucial objective ...
Artículo
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Inferring gene regression networks with model trees

Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (BioMed Central, 2010)
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. ...
Ponencia
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Discovering α–patterns from gene expression data

Rodríguez Baena, Domingo S.; Díaz Díaz, Norberto; Aguilar Ruiz, Jesús Salvador; Nepomuceno Chamorro, Isabel de los Ángeles (Springer, 2007)
The biclustering techniques have the purpose of finding subsets of genes that show similar activity patterns under a subset ...
Ponencia
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A Deterministic Model to Infer Gene Networks from Microarray Data

Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador; Díaz Díaz, Norberto; Rodríguez Baena, Domingo S.; García Gutiérrez, Jorge (Springer, 2007)
Microarray experiments help researches to construct the str ucture of gene regulatory networks, i.e., networks representing ...
Ponencia
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Databases Reduction Simultaneously by Ordered Projection

Nepomuceno Chamorro, Isabel de los Ángeles; Nepomuceno Chamorro, Juan Antonio; Ruiz, Roberto; Aguilar Ruiz, Jesús Salvador (Springer, 2006)
In this paper, a new algorithm Database Reduction Simulta neously by Ordered Projections (RESOP) is introduced. This ...
Ponencia
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Neighborhood-Based Clustering of Gene-Gene Interactions

Díaz Díaz, Norberto; Rodríguez Baena, Domingo S.; Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador (Springer, 2006)
n this work, we propose a new greedy clustering algorithm to identify groups of related genes. Clustering algorithms analyze ...
Ponencia
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A Measure for Data Set Editing by Ordered Projections

Aguilar Ruiz, Jesús Salvador; Nepomuceno Chamorro, Juan Antonio; Díaz Díaz, Norberto; Nepomuceno Chamorro, Isabel de los Ángeles (Springer, 2006)
In this paper we study a measure, named weakness of an example, which allows us to establish the importance of an example ...
Ponencia
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A Tool for Using the SBML Format to Represent P Systems which Model Biological Reaction Networks

Nepomuceno Chamorro, Isabel de los Ángeles; Nepomuceno Chamorro, Juan Antonio; Romero Campero, Francisco José (Fénix Editora, 2005)
In this paper we present a software tool to represent P systems modelling signalling networks of biochemical reactions ...
Ponencia
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An Approach to Reduce the Cost of Evaluation in Evolutionary Learning

Giráldez, Raúl; Díaz Díaz, Norberto; Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador (Springer, 2005)
The supervised learning methods applying evolutionary al gorithms to generate knowledge model are extremely costly in time ...
Ponencia
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A Java Simulator for Basic Transition P Systems

Nepomuceno Chamorro, Isabel de los Ángeles (Fénix Editora, 2004)
In this paper, a software tool (called SimCM, from Spanish Sim- ulador de Computaci¶on con Membranas) for handling P systems ...
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A Java Simulator for Membrane Computing

Nepomuceno Chamorro, Isabel de los Ángeles (Institut für Informations Systeme und Computer Medien, 2004)
Membrane Computing is a recent area of Natural Computing, a topic where much work has been done but still much remains to ...