Cristina Rubio-Escudero

Orcid: 0000-0001-5732-9139

According to our database1, Cristina Rubio-Escudero authored at least 47 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Emerging trends in big data analytics and natural disasters.
Comput. Geosci., January, 2024

2023
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series.
Inf. Fusion, July, 2023

Identifying novelties and anomalies for incremental learning in streaming time series forecasting.
Eng. Appl. Artif. Intell., 2023

PDSS: A Pharmacological Decision Support System for Diabetics Patients with COVID-19.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

2022
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture.
Neurocomputing, 2022

Generation of Synthetic Data with Conditional Generative Adversarial Networks.
Log. J. IGPL, 2022

Nearest neighbors with incremental learning for real-time forecasting of electricity demand.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
OCEAn: Ordinal classification with an ensemble approach.
Inf. Sci., 2021

Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach.
Inf. Sci., 2021

Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach.
Comput. Geosci., 2021

An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming.
Proceedings of the Advances in Artificial Intelligence, 2021

2020
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data, 2020

Using prior knowledge in the inference of gene association networks.
Appl. Intell., 2020

Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

High-content screening images streaming analysis using the STriGen methodology.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019
Creation of Synthetic Data with Conditional Generative Adversarial Networks.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Convolutional Neural Networks for Olive Oil Classification.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills.
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019

2018
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs.
Comput. Geosci., 2018

TRIQ: a new method to evaluate triclusters.
BioData Min., 2018

Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

2016
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula.
Entropy, 2015

2014
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data.
Neurocomputing, 2014

LSL: A new measure to evaluate triclusters.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula.
Knowl. Based Syst., 2013

2012
Fusion of knowledge towards the identification of genetic profiles.
AI Commun., 2012

2011
Revisiting the yeast cell cycle problem with the improved TriGen algorithm.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

On the use of algorithms to discover motifs in DNA sequences.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Triclustering on temporary microarray data using the TriGen algorithm.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

Unravelling the Yeast Cell Cycle Using the TriGen Algorithm.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Pattern recognition to forecast seismic time series.
Expert Syst. Appl., 2010

2008
A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database.
IEEE Trans. Evol. Comput., 2008

Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE).
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 2007

SatDNA Analyzer: a computing tool for satellite-DNA evolutionary analysis.
Bioinform., 2007

Modeling genetic networks: comparison of static and dynamic models.
Proceedings of the 2007 Summer Computer Simulation Conference, 2007

Identifying the Promoter Features Governing Differential Kinetics of Co-regulated Genes Using Fuzzy Expressions.
Proceedings of the FUZZ-IEEE 2007, 2007

Modeling Genetic Networks: Comparison of Static and Dynamic Models.
Proceedings of the Evolutionary Computation, 2007

Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization.
Proceedings of the Evolutionary Computation, 2007

satDNA Analyzer 1.2 as a Valuable Computing Tool for Evolutionary Analysis of Satellite-DNA Families: Revisiting Y-Linked Satellite-DNA Sequences of <i>Rumex </i> (Polygonaceae).
Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

2006
Decision Making Association Rules for Recognition of Differential Gene Expression Profiles.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Fusion of Domain Knowledge for Dynamic Learning in Transcriptional Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Optimal Selection of Microarray Analysis Methods Using a Conceptual Clustering Algorithm.
Proceedings of the Applications of Evolutionary Computing, 2006

Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology.
Proceedings of the Applications of Evolutionary Computing, 2006


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