Cristina Rubio-Escudero

50 papers B 1C 5Misc 2Journal 22Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Online forecasting using neighbor-based incremental learning for electricity markets.
Neural Comput. Appl.
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2024 J jnl
A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science models.
Log. J. IGPL
Belén Vega-Márquez, Javier Solís-García, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero
2024 J jnl
Emerging trends in big data analytics and natural disasters.
Comput. Geosci.
Francisco Martínez-Álvarez, Rudolf Scitovski, Cristina Rubio-Escudero, Antonio Morales-Esteban
2023 J jnl
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series.
Inf. Fusion
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2023 J jnl
Identifying novelties and anomalies for incremental learning in streaming time series forecasting.
Eng. Appl. Artif. Intell.
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2023 — conf
PDSS: A Pharmacological Decision Support System for Diabetics Patients with COVID-19.
MIE
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
2022 J jnl
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture.
Neurocomputing
Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
2022 J jnl
Generation of Synthetic Data with Conditional Generative Adversarial Networks.
Log. J. IGPL
Belén Vega-Márquez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro
2022 — conf
Nearest neighbors with incremental learning for real-time forecasting of electricity demand.
ICDM (Workshops)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2021 — conf
An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting.
SOCO
Belén Vega-Márquez, Javier Solís-García, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero
2021 J jnl
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach.
Inf. Sci.
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2021 J jnl
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach.
Comput. Geosci.
José L. Amaro-Mellado, Laura Melgar-García, Cristina Rubio-Escudero, David Gutiérrez-Avilés
2021 — conf
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming.
CAEPIA
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso Lora
2021 J jnl
OCEAn: Ordinal classification with an ensemble approach.
Inf. Sci.
Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero, José C. Riquelme
2020 J jnl
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data
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
2020 J jnl
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model.
CoRR
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
2020 — conf
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering.
SOCO
Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
2020 Misc conf
High-content screening images streaming analysis using the STriGen methodology.
SAC
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2020 J jnl
Using prior knowledge in the inference of gene association networks.
Appl. Intell.
Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, José Luis Galván-Rojas, Belén Vega-Márquez, Cristina Rubio-Escudero
2019 — conf
Convolutional Neural Networks for Olive Oil Classification.
IWINAC (2)
Belén Vega-Márquez, Andrea Carminati, Natividad Jurado-Campos, Andrés Martín-Gómez, Lourdes Arce-Jiménez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro
2019 — conf
Creation of Synthetic Data with Conditional Generative Adversarial Networks.
SOCO
Belén Vega-Márquez, Cristina Rubio-Escudero, José C. Riquelme, Isabel A. Nepomuceno-Chamorro
2019 — conf
Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills.
CISIS-ICEUTE
Cristina Rubio-Escudero, Francisco Martínez-Álvarez, E. Atencia-Gil, Alicia Troncoso
2018 J jnl
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs.
Comput. Geosci.
Emilio Florido, Gualberto Asencio-Cortés, José Luis Aznarte, Cristina Rubio-Escudero, Francisco Martínez-Álvarez
2018 — conf
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses.
SOCO-CISIS-ICEUTE
Cristina Rubio-Escudero, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme
2018 J jnl
TRIQ: a new method to evaluate triclusters.
BioData Min.
David Gutiérrez-Avilés, Raúl Giráldez, Francisco Javier Gil-Cumbreras, Cristina Rubio-Escudero
2016 Misc conf
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms.
HAIS
David Gutiérrez-Avilés, Cristina Rubio-Escudero
2015 J jnl
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula.
Entropy
Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero
2014 — conf
LSL: A new measure to evaluate triclusters.
BIBM
David Gutiérrez-Avilés, Cristina Rubio-Escudero
2014 J jnl
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data.
Neurocomputing
David Gutiérrez-Avilés, Cristina Rubio-Escudero, Francisco Martínez-Álvarez, José C. Riquelme
2013 J jnl
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula.
Knowl. Based Syst.
Francisco Martínez-Álvarez, Jorge Reyes, A. Morales-Esteban, Cristina Rubio-Escudero
2012 J jnl
Fusion of knowledge towards the identification of genetic profiles.
AI Commun.
Cristina Rubio-Escudero
2011 — conf
Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms.
ICAART (1)
María Martínez-Ballesteros, Cristina Rubio-Escudero, José C. Riquelme, Francisco Martínez-Álvarez
2011 C conf
On the use of algorithms to discover motifs in DNA sequences.
ISDA
Cristina Rubio-Escudero, Francisco Martínez-Álvarez, María Martínez-Ballesteros, José C. Riquelme
2011 — conf
Revisiting the yeast cell cycle problem with the improved TriGen algorithm.
NaBIC
David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme
2011 C conf
Triclustering on temporary microarray data using the TriGen algorithm.
ISDA
David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme
2011 — conf
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm.
CAEPIA
David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme
2010 J jnl
Pattern recognition to forecast seismic time series.
Expert Syst. Appl.
A. Morales-Esteban, Francisco Martínez-Álvarez, Alicia Troncoso Lora, J. L. Justo, Cristina Rubio-Escudero
2008 J jnl
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.
Rocío Romero-Záliz, Cristina Rubio-Escudero, J. P. Cobb, Francisco Herrera, Oscar Cordón, Igor Zwir
2008 C conf
Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms.
HIS
Cristina Rubio-Escudero, Francisco Martínez-Álvarez, Rocío Romero-Záliz, Igor Zwir
2007 B conf
Identifying the Promoter Features Governing Differential Kinetics of Co-regulated Genes Using Fuzzy Expressions.
FUZZ-IEEE
Rocío Romero-Záliz, Oscar Harari, Cristina Rubio-Escudero, Igor Zwir
2007 — ch.
Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE).
NICSO
Oscar Harari, Cristina Rubio-Escudero, Patricio Traverso, Marcelo Santos, Igor Zwir
2007 — conf
Modeling Genetic Networks: Comparison of Static and Dynamic Models.
EvoBIO
Cristina Rubio-Escudero, Oscar Harari, Oscar Cordón, Igor Zwir
2007 — conf
Modeling genetic networks: comparison of static and dynamic models.
SCSC
Cristina Rubio-Escudero, Rocío Romero-Záliz, Oscar Cordón, Igor Zwir
2007 J jnl
SatDNA Analyzer: a computing tool for satellite-DNA evolutionary analysis.
Bioinform.
Rafael Navajas-Pérez, Cristina Rubio-Escudero, José Luis Aznarte, Manuel Ruiz Rejón, Manuel A. Garrido-Ramos
2007 — conf
Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization.
EvoBIO
Oscar Harari, Cristina Rubio-Escudero, Igor Zwir
2007 — conf
satDNA Analyzer 1.2 as a Valuable Computing Tool for Evolutionary Analysis of Satellite-DNA Families: Revisiting Y-Linked Satellite-DNA Sequences of
BIRD
Rafael Navajas-Pérez, Manuel Ruiz Rejón, Manuel A. Garrido-Ramos, José Luis Aznarte, Cristina Rubio-Escudero
2006 C conf
Decision Making Association Rules for Recognition of Differential Gene Expression Profiles.
IDEAL
Cristina Rubio-Escudero, Coral del Val, Oscar Cordón, Igor Zwir
2006 C conf
Fusion of Domain Knowledge for Dynamic Learning in Transcriptional Networks.
IDEAL
Oscar Harari, Rocío Romero-Záliz, Cristina Rubio-Escudero, Igor Zwir
2006 — conf
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology.
EvoWorkshops
Rocío Romero-Záliz, Cristina Rubio-Escudero, Oscar Cordón, Oscar Harari, Coral del Val, Igor Zwir
2006 — conf
Optimal Selection of Microarray Analysis Methods Using a Conceptual Clustering Algorithm.
EvoWorkshops
Cristina Rubio-Escudero, Rocío Romero-Záliz, Oscar Cordón, Oscar Harari, Coral del Val, Igor Zwir