Browsing by Author "Rubio Escudero, Cristina"
Now showing items 1-20 of 59
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Article
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 ...
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Article
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 ...
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Article
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 ...
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Article
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 ...
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Article
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 ...
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Article
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 ...
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Article
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 ...
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Article
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 ...
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Presentation
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 ...
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Presentation
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 ...
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Presentation
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 ...
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Article
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. ...
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Presentation
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 ...
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Article
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 ...
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Presentation
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 ...
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Article
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, ...
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Presentation
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 ...
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Article
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 ...
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Presentation
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 ...
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Article
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 ...