Perfil del autor: Rubio Escudero, Cristina
Datos institucionales
| Nombre | Rubio Escudero, Cristina |
| Departamento | Lenguajes y Sistemas Informáticos |
| Área de conocimiento | Lenguajes y Sistemas Informáticos |
| Categoría profesional | Profesora Titular de Universidad |
| Correo electrónico | Solicitar |
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Estadísticas
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Nº publicaciones
59
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Nº visitas
3693
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Nº descargas
6212
| Publicaciones |
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Tesis Doctoral
 MOMIC: a Multi-Omics Pipeline for data analysis, integration and interpretation
(2022)
El éxito y la adaptación masiva de técnicas de high-throughput en las ciencias ómicas ha impulsado la biología de sistemas, ... |
Tesis Doctoral
Metodología ensemble para clasificación ordinal y aplicación en el control de calidad del aceite de oliva
(2022)
A día de hoy nos encontramos ante un nuevo paradigma que está revolucionando completamente la forma en la que vemos las ... |
Artículo
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
(Elsevier, 2022)
Precision agriculture focuses on the development of site-specific harvest considering the variability of each crop ... |
Artículo
An Artificial Intelligence–Driven Digital Health Solution to Support Clinical Management of Patients With Long COVID-19: Protocol for a Prospective Multicenter Observational Study
(JMIR PUBLICATIONS, INC, 2022)
Background: COVID-19 pandemic has revealed the weaknesses of most health systems around the world, collapsing them ... |
Artículo
MOMIC: A multi-omics pipeline for data analysis, integration and interpretation
(MDPI, 2022)
Background and Objectives: The burst of high-throughput omics technologies has given rise to a new era in systems biology, ... |
Artículo
 Generation of synthetic data with Conditional Generative Adversarial Networks
(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
Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining
(MDPI, 2021)
The assessment of compliance of gluten-free diet (GFD) is a keystone in the supervision of celiac disease (CD) patients. ... |
Ponencia
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming
(Springer, 2021)
This paper presents a new forecasting algorithm for time series in streaming named StreamWNN. The methodology has two ... |
Artículo
A data mining based clinical decision support system for survival in lung cancer
(Via Médica Journals, 2021)
Background: A clinical decision support system (CDSS) has been designed to predict the outcome (overall survival) by ... |
Artículo
OCEAn: Ordinal classification with an ensemble approach
(Elsevier, 2021)
Generally, classification problems catalog instances according to their target variable with out considering the relation ... |
Artículo
Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market
(MDPI, 2021)
The importance of electricity in people’s daily lives has made it an indispensable commodity in society. In electricity ... |
Artículo
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach
(Elsevier, 2021)
Triclustering algorithms group sets of coordinates of 3-dimensional datasets. In this paper, a new triclustering approach ... |
Artículo
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach
(Elsevier, 2021)
Seismogenic source zone models, including the delineation and the characterization, still have a role to play in seismic ... |
Ponencia
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering
(Springer, 2020)
Agriculture has undergone some very important changes over the last few decades. The emergence and evolution of precision ... |
Artículo
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
(Mary Ann Liebert, 2020)
This study proposes a novel bioinspired metaheuristic simulating how the coronavirus spreads and infects healthy people. ... |
Ponencia
High-Content Screening images streaming analysis using the STriGen methodology
(Association for Computing Machinery (ACM), 2020)
One of the techniques that provides systematic insights into biolog ical processes is High-Content Screening (HCS). It ... |
Artículo
Deep Learning Techniques to Improve the Performance of Olive Oil Classification
(Frontiers Editorial, 2020)
The olive oil assessment involves the use of a standardized sensory analysis according to the “panel test” method. However, ... |
Artículo
Using prior knowledge in the inference of gene association networks
(Springer, 2020)
Traditional computational techniques are recently being improved with the use of prior biological knowledge from open ... |
Ponencia
Convolutional Neural Networks for Olive Oil Classification
(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
Creation of Synthetic Data with Conditional Generative Adversarial Networks
(Springer, 2019)
The generation of synthetic data is becoming a fundamental task in the daily life of any organization due to new protection ... |
Ponencia
Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills
(Springer, 2019)
This work describes how an internal quality assurance sys tem is deployed at Pablo de Olavide University of Seville, Spain, ... |
Artículo
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs
(Elsevier, 2018)
A novel methodology is introduced in this research study to detect seismic precursors. Based on an existing approach, the ... |
Ponencia
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses
(Springer, 2018)
The continuous evaluation allows for the assessment of the progressive assimilation of concepts and the competences that ... |
Artículo
TRIQ: a new method to evaluate triclusters
(BMC: part of Springer Verlag, 2018)
Background: Triclustering has shown to be a valuable tool for the analysis of microarray data since its appearance as an ... |
| Artículo |
Ponencia
Detección de cáncer de piel usando técnicas de aprendizaje profundo
(Asociación Española para la Inteligencia Artificial (AEPIA), 2018)
El aprendizaje profundo ha sido muy utilizado para la clasificación de imágenes a partir de la competición ImageNet en ... |
Artículo
Analysis of the Influence of Starting Materials and Processing Conditions on the Properties of W/Cu Alloys
(MDPI, 2017)
In this work, a study of the influence of the starting materials and the processing time used to developW/Cu alloys is ... |
Artículo
Data Mining Techniques Applied to Hydrogen Lactose Breath Test
(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 ... |
Artículo
Analysis of the microstructure and mechanical properties of Titanium-based composites reinforced by secondary phases and B4C particles produced via direct hot pressing
(MDPI, 2017)
In the last decade, titanium metal matrix composites (TMCs) have received considerable attention thanks to their interesting ... |
Artículo
Influence of sintering temperature on the microstructure and mechanical properties of in situ reinforced titanium composites by inductive hot pressing
(MDPI AG, 2016)
This research is focused on the influence of processing temperature on titanium matrix composites reinforced through Ti, ... |
Ponencia
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms
(Springer, 2016)
Triclustering has shown to be a valuable tool for the analysis of microarray data since its appearance as an improvement ... |
Tesis Doctoral
TrLab: Una metodología para la extracción y evaluación de patrones de comportamiento de grandes volúmenes de datos biológicos dependientes del tiempo
(2015)
La tecnología de microarray ha revolucionado la investigación biotecnológica gracias a la posibilidad de monitorizar los ... |
Artículo
Ethnic difference in risk of toxicity in prostate cancer patients treated with dynamic arc radiation therapy
(SAGE Publications, 2015)
Aims and background: The objective of this study was to assess the influence of ethnicity on toxicity in patients treated ... |
Artículo
MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data
(SAGE Publications, 2015)
Microarray technology is highly used in biological research environments due to its ability to monitor the RNA concentration ... |
Artículo
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula
(MDPI, 2015)
A previous definition of seismogenic zones is required to do a probabilistic seismic hazard analysis for areas of spread ... |
Ponencia
LSL: A new measure to evaluate triclusters
(IEEE Computer Society, 2014)
Microarray technology has led to a great advance in biological studies due to its ability to monitorize the RNA levels of ... |
| Ponencia |
Artículo
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data
(Elsevier, 2014)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering techniques ... |
Artículo
Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure
(Hindawi, 2014)
Microarrays have revolutionized biotechnological research.The analysis of newdata generated represents a computational ... |
Artículo
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula
(Elsevier, 2013)
This work explores the use of different seismicity indicators as inputs for artificial neural networks. The combination ... |
Ponencia
On the use of algorithms to discover motifs in DNA sequences
(IEEE, 2011)
Many approaches are currently devoted to find DNA motifs in nucleotide sequences. However, this task remains challenging ... |
Ponencia
Mining Quantitative Association Rules in Microarray Data Using Evolutive Algorithms
(SciTePress, 2011)
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The ... |
Ponencia
Triclustering on TemporaryMicroarray Data using the TriGen Algorithm
(IEEE, 2011)
The analysis of microarray data is a computational challenge due to the characteristics of these data. Clustering techniques ... |
Capítulo de Libro
Revisiting the Yeast Cell Cycle Problem with the Improved TriGen Algorithm
(IEEE, 2011)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering ... |
Capítulo de Libro
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm
(Springer, 2011)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering ... |
Artículo
Optimization of multi-classifiers for computational biology: application to gene finding and expression
(Springer, 2010)
Genomes of many organisms have been sequenced over the last few years. However, transforming such raw sequence data into ... |
Artículo
Pattern recognition to forecast seismic time series
(Elsevier, 2010)
Earthquakes arrive without previous warning and can destroy a whole city in a few seconds, causing numerous deaths ... |
Capítulo de Libro
Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE)
(Springer, 2008)
Genetic and genomic approaches have been used successfully to assign genes to distinct regulatory networks, but the ... |
Ponencia
Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms
(IEEE Computer Society, 2008)
Biomedical research has been revolutionized by high throughput techniques and the enormous amount of data they are able ... |
Ponencia
Boolean Networks : a Study on Microarray Data Discretization
(Centro de Soft Computing, 2008)
Biomedical research has been revolutionized by high-throughput techniques and the enor mous amount of biological data they ... |
Artículo
A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database
(IEEE Computer Society, 2008)
Current tools and techniques devoted to examine the content of large databases are often hampered by their inability to ... |
Ponencia
Modeling Genetic Networks: Comparison of Static and Dynamic Models
(Springer, 2007)
Biomedical research has been revolutionized by high-throughput techniques and the enormous amount of biological data they ... |
Ponencia
Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization
(Springer, 2007)
A critical challenge of the postgenomic era is to understand how genes are differentially regulated in and between genetic ... |
Ponencia
Identifying the promoter features governing differential kinetics of co-regulated genes using fuzzy expressions
(IEEE Computer Society, 2007)
One of the biggest challenges in genomics is the elucidation of the design principles controlling gene expression. Current ... |
Ponencia
satDNA Analyzer 1.2 as a Valuable Computing Tool for Evolutionary Analysis of Satellite-DNA Families: Revisiting Y-Linked Satellite-DNA Sequences of Rumex (Polygonaceae)
(Springer, 2007)
In a previous paper [1] we showed that Y-linked satellite-DNA sequences of Rumex (Polygonaceae) present reduced rates of ... |
Ponencia
Optimal Selection of Microarray Analysis Methods Using a Conceptual Clustering Algorithm
(Springer, 2006)
The rapid development of methods that select over/under expressed genes from microarray experiments have not yet matched ... |
Ponencia
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
(Springer, 2006)
The increased availability of biological databases contain ing representations of complex objects permits access to vast ... |
Ponencia
Fusion of Domain Knowledge for Dynamic Learning in Transcriptional Networks
(Springer, 2006)
A critical challenge of the postgenomic era is to understand how genes are differentially regulated even when they belong ... |
Ponencia
Decision making association rules for recognition of differential gene expression profiles
(Springer, 2006)
The rapid development of methods that select over/under expressed genes from RNA microarray experiments have not yet ... |