Roberto Ruiz

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 6

Top Topics

High Dimensions

Supervised Machine Learning

Feature Selection

Evolutionary Neural Networks

Top Venues

Eng. Appl. Artif. Intell.

Publications

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) (2024)
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) (2023)
Joaquin Roiz-Pagador, Andres Chacon-Maldonado, Roberto Ruiz, Gualberto Asencio-Cortés
Earthquake Prediction in California Using Feature Selection Techniques. SOCO (2021)
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) (2020)
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 (2019)
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)
Daniel Rodríguez, Roberto Ruiz, José C. Riquelme, Rachel Harrison
A study of subgroup discovery approaches for defect prediction. Inf. Softw. Technol. 55 (10) (2013)
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 (2013)
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)
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) (2012)
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 (2012)
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) (2012)
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)
Daniel Rodríguez, Roberto Ruiz, José C. Riquelme, Rachel Harrison
Subgroup Discovery for Defect Prediction. SSBSE (2011)
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)
Roberto Ruiz, Daniel Rodríguez, Marta E. Zorrilla, José Jacobo Zubcoff
Apoyo a la Decisión en Ingeniería del Software (ADIS, 10ª ed.). JISBD (2010)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme
-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. ICANN (1) (2010)
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)
Daniel Rodríguez, José Javier Dolado, José C. Riquelme, Roberto Ruiz, Miguel-Ángel Sicilia
Knowledge representation and applied decision making (KREAM). ICCS (1) (2010)
José Cristóbal Riquelme Santos, Roberto Ruiz, Daniel Rodríguez
Apoyo a la Decisión en Ingeniería del Software (ADIS, 9ª edición). JISBD (2009)
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)
Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz
Best Agglomerative Ranked Subset for Feature Selection. FSDM (2008)
Daniel Rodríguez, Roberto Ruiz
Workshop on Software Engineering for Large Scale Computing (SELSC). ICCS (3) (2008)
José C. Riquelme, Roberto Ruiz, Daniel Rodríguez
Identificación de Fallos en Módulos Software. JISBD (2008)
Daniel Rodríguez, Roberto Ruiz, Juan Jose Cuadrado-Gallego, Jesús S. Aguilar-Ruiz
Detecting Fault Modules Applying Feature Selection to Classifiers. IRI (2007)
Roberto Ruiz
New heuristics in feature selection for high dimensional data (thesis abstract). AI Commun. 20 (2) (2007)
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)
José C. Riquelme, Roberto Ruiz, Karina Gilbert
Data Mining: Concepts and Trends. Inteligencia Artif. 10 (29) (2006)
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)
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)
Roberto Ruiz, Karina Gilbert, José C. Riquelme
Special Issue: Data Mining. Inteligencia Artif. 10 (29) (2006)
Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Norberto Díaz-Díaz
Analysis of Feature Rankings for Classification. IDA (2005)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Heuristic Search over a Ranking for Feature Selection. IWANN (2005)
Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Wrapper for Ranking Feature Selection. IDEAL (2004)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
NLC: A Measure Based on Projections. DEXA (2003)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Fast Feature Selection by Means of Projections. IEA/AIE (2003)
Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Reduccion de Bases de Datos. JISBD (2003)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Fast Feature Ranking Algorithm. KES (2003)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Projection-based measure for efficient feature selection. J. Intell. Fuzzy Syst. 12 (3-4) (2002)
Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
SOAP: Efficient Feature Selection of Numeric Attributes. IBERAMIA (2002)
Jesús S. Aguilar-Ruiz, Roberto Ruiz, José Cristóbal Riquelme Santos, Raúl Giráldez
SNN: A Supervised Clustering Algorithm. IEA/AIE (2001)
José Cristóbal Riquelme Santos, Raúl Giráldez, Jesús S. Aguilar-Ruiz, Roberto Ruiz
Separation Surfaces through Genetic Programming. IEA/AIE (2001)