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ORCIDCristina Rubio-Escudero
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2020 – today
- 2024
[j19]Francisco Martínez-Álvarez
, Rudolf Scitovski, Cristina Rubio-Escudero, Antonio Morales-Esteban:
Emerging trends in big data analytics and natural disasters. Comput. Geosci. 182: 105465 (2024)- 2023
- [j18]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
Identifying novelties and anomalies for incremental learning in streaming time series forecasting. Eng. Appl. Artif. Intell. 123(Part B): 106326 (2023) - [j17]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series. Inf. Fusion 95: 163-173 (2023) - [c27]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:
PDSS: A Pharmacological Decision Support System for Diabetics Patients with COVID-19. MIE 2023: 521-525 - 2022
- [j16]Belén Vega-Márquez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro:
Generation of Synthetic Data with Conditional Generative Adversarial Networks. Log. J. IGPL 30(2): 252-262 (2022) - [j15]Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero:
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture. Neurocomputing 500: 268-278 (2022) - [c26]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
Nearest neighbors with incremental learning for real-time forecasting of electricity demand. ICDM (Workshops) 2022: 1-8 - 2021
- [j14]José L. Amaro-Mellado, Laura Melgar-García, Cristina Rubio-Escudero, David Gutiérrez-Avilés:
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach. Comput. Geosci. 150: 104736 (2021) - [j13]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach. Inf. Sci. 558: 174-193 (2021) - [j12]Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero, José C. Riquelme:
OCEAn: Ordinal classification with an ensemble approach. Inf. Sci. 580: 221-242 (2021) - [c25]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso Lora:
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming. CAEPIA 2021: 185-195 - [c24]Belén Vega-Márquez, Javier Solís-García, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero:
An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting. SOCO 2021: 675-684 - 2020
- [j11]Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, José Luis Galván-Rojas, Belén Vega-Márquez, Cristina Rubio-Escudero:
Using prior knowledge in the inference of gene association networks. Appl. Intell. 50(11): 3882-3893 (2020) - [j10]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:
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 8(4): 308-322 (2020) - [c23]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
High-content screening images streaming analysis using the STriGen methodology. SAC 2020: 537-539 - [c22]Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero:
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. SOCO 2020: 226-236 - [i1]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:
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR abs/2003.13633 (2020)
2010 – 2019
- 2019
- [c21]Cristina Rubio-Escudero, Francisco Martínez-Álvarez, E. Atencia-Gil, Alicia Troncoso:
Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills. CISIS-ICEUTE 2019: 340-348 - [c20]Belén Vega-Márquez, Andrea Carminati, Natividad Jurado-Campos, Andrés Martín-Gómez, Lourdes Arce-Jiménez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro:
Convolutional Neural Networks for Olive Oil Classification. IWINAC (2) 2019: 137-145 - [c19]Belén Vega-Márquez, Cristina Rubio-Escudero, José C. Riquelme, Isabel A. Nepomuceno-Chamorro:
Creation of Synthetic Data with Conditional Generative Adversarial Networks. SOCO 2019: 231-240 - 2018
- [j9]David Gutiérrez-Avilés, Raúl Giráldez, Francisco Javier Gil-Cumbreras, Cristina Rubio-Escudero:
TRIQ: a new method to evaluate triclusters. BioData Min. 11(1): 15:1-15:29 (2018) - [j8]Emilio Florido, Gualberto Asencio-Cortés, José Luis Aznarte, Cristina Rubio-Escudero, Francisco Martínez-Álvarez:
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs. Comput. Geosci. 115: 96-104 (2018) - [c18]Cristina Rubio-Escudero, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme:
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. SOCO-CISIS-ICEUTE 2018: 553-561 - 2016
- [c17]David Gutiérrez-Avilés, Cristina Rubio-Escudero:
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms. HAIS 2016: 673-684 - 2015
- [j7]Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero:
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula. Entropy 17(7): 5000-5021 (2015) - 2014
- [j6]David Gutiérrez-Avilés, Cristina Rubio-Escudero, Francisco Martínez-Álvarez, José C. Riquelme:
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. Neurocomputing 132: 42-53 (2014) - [c16]David Gutiérrez-Avilés, Cristina Rubio-Escudero:
LSL: A new measure to evaluate triclusters. BIBM 2014: 30-37 - 2013
- [j5]Francisco Martínez-Álvarez, Jorge Reyes, A. Morales-Esteban, Cristina Rubio-Escudero:
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula. Knowl. Based Syst. 50: 198-210 (2013) - 2012
- [j4]Cristina Rubio-Escudero:
Fusion of knowledge towards the identification of genetic profiles. AI Commun. 25(1): 65-67 (2012) - 2011
- [c15]David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm. CAEPIA 2011: 155-163 - [c14]María Martínez-Ballesteros, Cristina Rubio-Escudero, José C. Riquelme, Francisco Martínez-Álvarez:
Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms. ICAART (1) 2011: 574-577 - [c13]David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Triclustering on temporary microarray data using the TriGen algorithm. ISDA 2011: 877-881 - [c12]Cristina Rubio-Escudero, Francisco Martínez-Álvarez, María Martínez-Ballesteros, José C. Riquelme:
On the use of algorithms to discover motifs in DNA sequences. ISDA 2011: 1074-1079 - [c11]David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Revisiting the yeast cell cycle problem with the improved TriGen algorithm. NaBIC 2011: 515-520 - 2010
- [j3]A. Morales-Esteban, Francisco Martínez-Álvarez, Alicia Troncoso Lora, J. L. Justo, Cristina Rubio-Escudero:
Pattern recognition to forecast seismic time series. Expert Syst. Appl. 37(12): 8333-8342 (2010)
2000 – 2009
- 2008
- [j2]Rocío Romero-Záliz, Cristina Rubio-Escudero, J. P. Cobb, Francisco Herrera, Oscar Cordón, Igor Zwir:
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. 12(6): 679-701 (2008) - [c10]Cristina Rubio-Escudero, Francisco Martínez-Álvarez, Rocío Romero-Záliz, Igor Zwir:
Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms. HIS 2008: 831-836 - 2007
- [j1]Rafael Navajas-Pérez, Cristina Rubio-Escudero, José Luis Aznarte, Manuel Ruiz Rejón, Manuel A. Garrido-Ramos:
SatDNA Analyzer: a computing tool for satellite-DNA evolutionary analysis. Bioinform. 23(6): 767-768 (2007) - [c9]Rafael Navajas-Pérez, Manuel Ruiz Rejón, Manuel A. Garrido-Ramos, José Luis Aznarte, Cristina Rubio-Escudero:
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). BIRD 2007: 131-139 - [c8]Oscar Harari, Cristina Rubio-Escudero, Igor Zwir:
Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization. EvoBIO 2007: 68-77 - [c7]Cristina Rubio-Escudero, Oscar Harari, Oscar Cordón, Igor Zwir:
Modeling Genetic Networks: Comparison of Static and Dynamic Models. EvoBIO 2007: 78-89 - [c6]Rocío Romero-Záliz, Oscar Harari, Cristina Rubio-Escudero, Igor Zwir:
Identifying the Promoter Features Governing Differential Kinetics of Co-regulated Genes Using Fuzzy Expressions. FUZZ-IEEE 2007: 1-7 - [c5]Cristina Rubio-Escudero, Rocío Romero-Záliz, Oscar Cordón, Igor Zwir:
Modeling genetic networks: comparison of static and dynamic models. SCSC 2007: 827-832 - [p1]Oscar Harari, Cristina Rubio-Escudero, Patricio Traverso, Marcelo Santos, Igor Zwir:
Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE). NICSO 2007: 299-311 - 2006
- [c4]Rocío Romero-Záliz, Cristina Rubio-Escudero, Oscar Cordón, Oscar Harari, Coral del Val, Igor Zwir:
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology. EvoWorkshops 2006: 159-171 - [c3]Cristina Rubio-Escudero, Rocío Romero-Záliz, Oscar Cordón, Oscar Harari, Coral del Val, Igor Zwir:
Optimal Selection of Microarray Analysis Methods Using a Conceptual Clustering Algorithm. EvoWorkshops 2006: 172-183 - [c2]Oscar Harari, Rocío Romero-Záliz, Cristina Rubio-Escudero, Igor Zwir:
Fusion of Domain Knowledge for Dynamic Learning in Transcriptional Networks. IDEAL 2006: 1067-1078 - [c1]Cristina Rubio-Escudero, Coral del Val, Oscar Cordón, Igor Zwir:
Decision Making Association Rules for Recognition of Differential Gene Expression Profiles. IDEAL 2006: 1137-1149
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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