Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology. - Rocío Romero-Záliz; Cristina Rubio-Escudero; Oscar Cordón; Oscar Harari; Coral del Val; Igor Zwir (EvoWorkshops, 2006)

Optimal Selection of Microarray Analysis Methods Using a Conceptual Clustering Algorithm. - Cristina Rubio-Escudero; Rocío Romero-Záliz; Oscar Cordón; Oscar Harari; Coral del Val; Igor Zwir (EvoWorkshops, 2006)

Fusion of Domain Knowledge for Dynamic Learning in Transcriptional Networks. - Oscar Harari; Rocío Romero-Záliz; Cristina Rubio-Escudero; Igor Zwir (IDEAL, 2006)

Decision Making Association Rules for Recognition of Differential Gene Expression Profiles. - Cristina Rubio-Escudero; Coral del Val; Oscar Cordón; Igor Zwir (IDEAL, 2006)

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). - Rafael Navajas-Pérez; Manuel Ruiz Rejón; Manuel A. Garrido-Ramos; José Luis Aznarte; Cristina Rubio-Escudero (BIRD, 2007)

Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization. - Oscar Harari; Cristina Rubio-Escudero; Igor Zwir (EvoBIO, 2007)

Modeling Genetic Networks: Comparison of Static and Dynamic Models. - Cristina Rubio-Escudero; Oscar Harari; Oscar Cordón; Igor Zwir (EvoBIO, 2007)

Identifying the Promoter Features Governing Differential Kinetics of Co-regulated Genes Using Fuzzy Expressions. - Rocío Romero-Záliz; Oscar Harari; Cristina Rubio-Escudero; Igor Zwir (FUZZ-IEEE, 2007)

Modeling genetic networks: comparison of static and dynamic models. - Cristina Rubio-Escudero; Rocío Romero-Záliz; Oscar Cordón; Igor Zwir (SCSC, 2007)

SatDNA Analyzer: a computing tool for satellite-DNA evolutionary analysis. - Rafael Navajas-Pérez; Cristina Rubio-Escudero; José Luis Aznarte; Manuel Ruiz Rejón; Manuel A. Garrido-Ramos (Bioinform., 2007)

Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE). - Oscar Harari; Cristina Rubio-Escudero; Patricio Traverso; Marcelo Santos; Igor Zwir (NICSO, 2007)

Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms. - Cristina Rubio-Escudero; Francisco Martínez-Álvarez; Rocío Romero-Záliz; Igor Zwir (HIS, 2008)

A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database. - Rocío Romero-Záliz; Cristina Rubio-Escudero; J. P. Cobb; Francisco Herrera; Oscar Cordón; Igor Zwir (IEEE Trans. Evol. Comput., 2008)

Pattern recognition to forecast seismic time series. - A. Morales-Esteban; Francisco Martínez-Álvarez; Alicia Troncoso Lora; J. L. Justo; Cristina Rubio-Escudero (Expert Syst. Appl., 2010)

Unravelling the Yeast Cell Cycle Using the TriGen Algorithm. - David Gutiérrez-Avilés; Cristina Rubio-Escudero; José C. Riquelme (CAEPIA, 2011)

Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms. - María Martínez-Ballesteros; Cristina Rubio-Escudero; José C. Riquelme; Francisco Martínez-Álvarez (ICAART (1), 2011)

Triclustering on temporary microarray data using the TriGen algorithm. - David Gutiérrez-Avilés; Cristina Rubio-Escudero; José C. Riquelme (ISDA, 2011)

On the use of algorithms to discover motifs in DNA sequences. - Cristina Rubio-Escudero; Francisco Martínez-Álvarez; María Martínez-Ballesteros; José C. Riquelme (ISDA, 2011)

Revisiting the yeast cell cycle problem with the improved TriGen algorithm. - David Gutiérrez-Avilés; Cristina Rubio-Escudero; José C. Riquelme (NaBIC, 2011)

Fusion of knowledge towards the identification of genetic profiles. - Cristina Rubio-Escudero (AI Commun., 2012)

Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula. - Francisco Martínez-Álvarez; Jorge Reyes; A. Morales-Esteban; Cristina Rubio-Escudero (Knowl. Based Syst., 2013)

LSL: A new measure to evaluate triclusters. - David Gutiérrez-Avilés; Cristina Rubio-Escudero (BIBM, 2014)

TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. - David Gutiérrez-Avilés; Cristina Rubio-Escudero; Francisco Martínez-Álvarez; José C. Riquelme (Neurocomputing, 2014)

A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula. - Francisco Martínez-Álvarez; David Gutiérrez-Avilés; Antonio Morales-Esteban; Jorge Reyes; José L. Amaro-Mellado; Cristina Rubio-Escudero (Entropy, 2015)

TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms. - David Gutiérrez-Avilés; Cristina Rubio-Escudero (HAIS, 2016)

Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. - Cristina Rubio-Escudero; Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Alicia Troncoso; José C. Riquelme (SOCO-CISIS-ICEUTE, 2018)

TRIQ: a new method to evaluate triclusters. - David Gutiérrez-Avilés; Raúl Giráldez; Francisco Javier Gil-Cumbreras; Cristina Rubio-Escudero (BioData Min., 2018)

A novel tree-based algorithm to discover seismic patterns in earthquake catalogs. - Emilio Florido; Gualberto Asencio-Cortés; José Luis Aznarte; Cristina Rubio-Escudero; Francisco Martínez-Álvarez (Comput. Geosci., 2018)

Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills. - Cristina Rubio-Escudero; Francisco Martínez-Álvarez; E. Atencia-Gil; Alicia Troncoso (CISIS-ICEUTE, 2019)

Convolutional Neural Networks for Olive Oil Classification. - Belén Vega-Márquez; Andrea Carminati; Natividad Jurado-Campos; Andrés Martín-Gómez; Lourdes Arce-Jiménez; Cristina Rubio-Escudero; Isabel A. Nepomuceno-Chamorro (IWINAC (2), 2019)

Creation of Synthetic Data with Conditional Generative Adversarial Networks. - Belén Vega-Márquez; Cristina Rubio-Escudero; José C. Riquelme; Isabel A. Nepomuceno-Chamorro (SOCO, 2019)

High-content screening images streaming analysis using the STriGen methodology. - Laura Melgar-García; David Gutiérrez-Avilés; Cristina Rubio-Escudero; Alicia Troncoso (SAC, 2020)

Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. - Laura Melgar-García; Maria Teresa Godinho; Rita Espada; David Gutiérrez-Avilés; Isabel Sofia Brito; Francisco Martínez-Álvarez; Alicia Troncoso; Cristina Rubio-Escudero (SOCO, 2020)

Using prior knowledge in the inference of gene association networks. - Isabel A. Nepomuceno-Chamorro; Juan A. Nepomuceno; José Luis Galván-Rojas; Belén Vega-Márquez; Cristina Rubio-Escudero (Appl. Intell., 2020)

Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. - Francisco Martínez-Álvarez; Gualberto Asencio-Cortés; José F. Torres; David Gutiérrez-Avilés; Laura Melgar-García; Rubén Pérez-Chacón; Cristina Rubio-Escudero; José C. Riquelme; Alicia Troncoso Lora (Big Data, 2020)

Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming. - Laura Melgar-García; David Gutiérrez-Avilés; Cristina Rubio-Escudero; Alicia Troncoso Lora (CAEPIA, 2021)

An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting. - Belén Vega-Márquez; Javier Solís-García; Isabel A. Nepomuceno-Chamorro; Cristina Rubio-Escudero (SOCO, 2021)

Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach. - José L. Amaro-Mellado; Laura Melgar-García; Cristina Rubio-Escudero; David Gutiérrez-Avilés (Comput. Geosci., 2021)

Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach. - Laura Melgar-García; David Gutiérrez-Avilés; Cristina Rubio-Escudero; Alicia Troncoso (Inf. Sci., 2021)

OCEAn: Ordinal classification with an ensemble approach. - Belén Vega-Márquez; Isabel A. Nepomuceno-Chamorro; Cristina Rubio-Escudero; José C. Riquelme (Inf. Sci., 2021)

Nearest neighbors with incremental learning for real-time forecasting of electricity demand. - Laura Melgar-García; David Gutiérrez-Avilés; Cristina Rubio-Escudero; Alicia Troncoso (ICDM (Workshops), 2022)

Generation of Synthetic Data with Conditional Generative Adversarial Networks. - Belén Vega-Márquez; Cristina Rubio-Escudero; Isabel A. Nepomuceno-Chamorro (Log. J. IGPL, 2022)

A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture. - Laura Melgar-García; David Gutiérrez-Avilés; Maria Teresa Godinho; Rita Espada; Isabel Sofia Brito; Francisco Martínez-Álvarez; Alicia Troncoso; Cristina Rubio-Escudero (Neurocomputing, 2022)

PDSS: A Pharmacological Decision Support System for Diabetics Patients with COVID-19. - Isabel Amaya-Rodriguez; Nekane Larburu; María Rollán Martinez-Herrera; Kristin Rebescher; Iván Macía; Miguel Ángel Armengol de La Hoz; Cristina Rubio-Escudero; Alba Garín-Muga (MIE, 2023)

Identifying novelties and anomalies for incremental learning in streaming time series forecasting. - Laura Melgar-García; David Gutiérrez-Avilés; Cristina Rubio-Escudero; Alicia Troncoso (Eng. Appl. Artif. Intell., 2023)

A novel distributed forecasting method based on information fusion and incremental learning for streaming time series. - Laura Melgar-García; David Gutiérrez-Avilés; Cristina Rubio-Escudero; Alicia Troncoso (Inf. Fusion, 2023)

A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science models. - Belén Vega-Márquez; Javier Solís-García; Isabel A. Nepomuceno-Chamorro; Cristina Rubio-Escudero (Log. J. IGPL, 2024)

Emerging trends in big data analytics and natural disasters. - Francisco Martínez-Álvarez; Rudolf Scitovski; Cristina Rubio-Escudero; Antonio Morales-Esteban (Comput. Geosci., 2024)