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ORCIDRoberto Ruiz Sánchez
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- affiliation: University of Seville, Spain
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2020 – today
- 2025
[c35]Jesús S. Aguilar-Ruiz, Raúl Giraldez, Roberto Ruiz:
Tree-based biclustering of genomic time series. SAC 2025: 169-175- 2024
- [j16]Roberto Ruiz, Alejandro Sopena, Max Hunter Gordon, Germán Sierra, Esperanza López:
The Bethe Ansatz as a Quantum Circuit. Quantum 8: 1356 (2024) - [j15]P. Britto Corthis, G. P. Ramesh
, Miguel García-Torres, Roberto Ruiz:
Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm. Symmetry 16(6): 726 (2024) - [c34]Marina Escobar-Planas, Roberto Ruiz Sánchez, Pedro Frau-Amar, Vicky Charisi, Carlos D. Martínez-Hinarejos, Emilia Gómez, Luis Merino:
Implementing and Evaluating Trustworthy Conversational Agents for Children. CHIRA (1) 2024: 476-495 - 2023
- [j14]Miguel García-Torres, Roberto Ruiz, Federico Divina:
Evolutionary feature selection on high dimensional data using a search space reduction approach. Eng. Appl. Artif. Intell. 117(Part): 105556 (2023) - 2021
- [c33]Joaquin Roiz-Pagador, Andres Chacon-Maldonado, Roberto Ruiz, Gualberto Asencio-Cortés:
Earthquake Prediction in California Using Feature Selection Techniques. SOCO 2021: 728-738 - 2020
- [j13]Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz:
Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning. Pattern Anal. Appl. 23(1): 467-491 (2020)
2010 – 2019
- 2019
- [j12]Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz:
Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems. Neurocomputing 353: 28-44 (2019) - 2016
- [j11]Antonio J. Tallón-Ballesteros, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez:
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks. Connect. Sci. 28(3): 242-257 (2016) - [c32]Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz Sánchez:
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection. HAIS 2016: 136-148 - 2015
- [c31]Christian A. Rojas, Samir Kouro, Roberto Ruiz, Sebastian Rivera, Bin Wu, Xiaoqiang Guo:
Multiobjective Predictive Control of a three-phase seven-level cascaded H-bridge converter for grid-connected photovoltaic systems. ISIE 2015: 1121-1126 - 2013
- [j10]Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz:
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems. Neurocomputing 114: 107-117 (2013) - [j9]Daniel Rodríguez, Roberto Ruiz, José C. Riquelme, Rachel Harrison:
A study of subgroup discovery approaches for defect prediction. Inf. Softw. Technol. 55(10): 1810-1822 (2013) - 2012
- [j8]Francisco Fernández-Navarro, César Hervás-Martínez, Roberto Ruiz, José C. Riquelme:
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. Appl. Soft Comput. 12(6): 1787-1800 (2012) - [j7]Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz, Miguel García-Torres:
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches. Expert Syst. Appl. 39(12): 11094-11102 (2012) - [j6]Daniel Rodríguez, Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz:
Searching for rules to detect defective modules: A subgroup discovery approach. Inf. Sci. 191: 14-30 (2012) - [c30]Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro, Roberto Ruiz, Cosme Ernesto Santiesteban-Toca:
Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly. EvoBIO 2012: 156-167 - 2011
- [c29]Miguel García-Torres, Roberto Ruiz, Belén Melián-Batista, José A. Moreno-Pérez, J. Marcos Moreno-Vega:
A Two-Phase Heuristic Construction of Feature Sets for Classification. ICTAI 2011: 1028-1031 - [c28]Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz:
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. IWINAC (2) 2011: 381-390 - [c27]Daniel Rodríguez, Roberto Ruiz, José C. Riquelme, Rachel Harrison:
Subgroup Discovery for Defect Prediction. SSBSE 2011: 269-270 - 2010
- [c26]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme:
Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. ICANN (1) 2010: 327-336 - [c25]Miguel Á. Montero, Roberto Ruiz, Miguel García-Torres, Luis M. Sarro:
Feature Selection Applied to Data from the Sloan Digital Sky Survey. IEA/AIE (1) 2010: 611-620 - [c24]Roberto Ruiz, Daniel Rodríguez, Marta E. Zorrilla, José Jacobo Zubcoff:
Apoyo a la Decisión en Ingeniería del Software (ADIS, 10ª ed.). JISBD 2010: 345 - [c23]Daniel Rodríguez, José Javier Dolado, José C. Riquelme, Roberto Ruiz, Miguel-Ángel Sicilia:
Knowledge representation and applied decision making (KREAM). ICCS 2010: 2271
2000 – 2009
- 2009
- [c22]Andreas Knüpfer, Arndt Bode, Dieter Kranzlmüller, Daniel Rodríguez, Roberto Ruiz, Jie Tao, Roland Wismüller, Jens Volkert:
Preface for the Joint Workshop on Tools for Program Development and Analysis in Computational Science and Software Engineering for Large-Scale Computing. ICCS (2) 2009: 655-656 - [c21]José Cristóbal Riquelme Santos, Roberto Ruiz, Daniel Rodríguez:
Apoyo a la Decisión en Ingeniería del Software (ADIS, 9ª edición). JISBD 2009: 426-426 - 2008
- [c20]Daniel Rodríguez, Roberto Ruiz:
Workshop on Software Engineering for Large Scale Computing (SELSC). ICCS (3) 2008: 289-290 - [c19]José C. Riquelme, Roberto Ruiz, Daniel Rodríguez:
Identificación de Fallos en Módulos Software. JISBD 2008: 195-204 - [c18]Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz:
Best Agglomerative Ranked Subset for Feature Selection. FSDM 2008: 148-162 - 2007
- [j5]Roberto Ruiz:
New heuristics in feature selection for high dimensional data (thesis abstract). AI Commun. 20(2): 129-131 (2007) - [c17]Daniel Rodríguez, Roberto Ruiz, Juan Jose Cuadrado-Gallego, Jesús S. Aguilar-Ruiz, Miguel Garre:
Attribute Selection in Software Engineering Datasets for Detecting Fault Modules. EUROMICRO-SEAA 2007: 418-423 - [c16]Daniel Rodríguez, Roberto Ruiz, Juan Jose Cuadrado-Gallego, Jesús S. Aguilar-Ruiz:
Detecting Fault Modules Applying Feature Selection to Classifiers. IRI 2007: 667-672 - 2006
- [j4]Roberto Ruiz, Karina Gilbert, José C. Riquelme:
Special Issue: Data Mining. Inteligencia Artif. 10(29): 7-9 (2006) - [j3]José C. Riquelme, Roberto Ruiz, Karina Gilbert:
Data Mining: Concepts and Trends. Inteligencia Artif. 10(29): 11-18 (2006) - [j2]Roberto Ruiz Sánchez, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Incremental wrapper-based gene selection from microarray data for cancer classification. Pattern Recognit. 39(12): 2383-2392 (2006) - [c15]Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez, Jesús S. Aguilar-Ruiz:
Databases Reduction Simultaneously by Ordered Projection. Discovery Science 2006: 337-341 - [c14]Daniel Rodríguez, Juan J. Cuadrado, Miguel-Ángel Sicilia-Urbán, Roberto Ruiz:
Segmentation of Software Engineering Datasets Using the M5 Algorithm. International Conference on Computational Science (4) 2006: 789-796 - [c13]Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez:
RESOP: Un método para la reducción de Bases de Datos. JISBD 2006: 261-270 - [c12]Roberto Ruiz, Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Gene Ranking from Microarray Data for Cancer Classification-A Machine Learning Approach. KES (2) 2006: 1272-1280 - 2005
- [c11]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Norberto Díaz-Díaz:
Analysis of Feature Rankings for Classification. IDA 2005: 362-372 - [c10]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Heuristic Search over a Ranking for Feature Selection. IWANN 2005: 742-749 - 2004
- [c9]Roberto Ruiz Sánchez, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Databases Reduction. ICEIS (2) 2004: 98-103 - [c8]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Wrapper for Ranking Feature Selection. IDEAL 2004: 384-389 - 2003
- [c7]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
NLC: A Measure Based on Projections. DEXA 2003: 907-916 - [c6]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Fast Feature Selection by Means of Projections. IEA/AIE 2003: 461-470 - [c5]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Reduccion de Bases de Datos. JISBD 2003: 469-478 - [c4]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Fast Feature Ranking Algorithm. KES 2003: 325-331 - 2002
- [j1]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Projection-based measure for efficient feature selection. J. Intell. Fuzzy Syst. 12(3-4): 175-183 (2002) - [c3]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
SOAP: Efficient Feature Selection of Numeric Attributes. IBERAMIA 2002: 233-242 - 2001
- [c2]Jesús S. Aguilar-Ruiz, Roberto Ruiz, José Cristóbal Riquelme Santos, Raúl Giráldez:
SNN: A Supervised Clustering Algorithm. IEA/AIE 2001: 207-216 - [c1]José Cristóbal Riquelme Santos, Raúl Giráldez, Jesús S. Aguilar-Ruiz, Roberto Ruiz:
Separation Surfaces through Genetic Programming. IEA/AIE 2001: 428-433
Coauthor Index
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last updated on 2025-05-17 01:33 CEST by the dblp team
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