SNN: A Supervised Clustering Algorithm. - Jesús S. Aguilar-Ruiz; Roberto Ruiz; José Cristóbal Riquelme Santos; Raúl Giráldez (IEA/AIE, 2001)

Separation Surfaces through Genetic Programming. - José Cristóbal Riquelme Santos; Raúl Giráldez; Jesús S. Aguilar-Ruiz; Roberto Ruiz (IEA/AIE, 2001)

SOAP: Efficient Feature Selection of Numeric Attributes. - Roberto Ruiz; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (IBERAMIA, 2002)

Projection-based measure for efficient feature selection. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (J. Intell. Fuzzy Syst., 2002)

NLC: A Measure Based on Projections. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (DEXA, 2003)

Fast Feature Selection by Means of Projections. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (IEA/AIE, 2003)

Reduccion de Bases de Datos. - Roberto Ruiz; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (JISBD, 2003)

Fast Feature Ranking Algorithm. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (KES, 2003)

Databases Reduction. - Roberto Ruiz Sánchez; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (ICEIS (2), 2004)

Wrapper for Ranking Feature Selection. - Roberto Ruiz; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (IDEAL, 2004)

Analysis of Feature Rankings for Classification. - Roberto Ruiz; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Norberto Díaz-Díaz (IDA, 2005)

Heuristic Search over a Ranking for Feature Selection. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (IWANN, 2005)

Databases Reduction Simultaneously by Ordered Projection. - Isabel A. Nepomuceno-Chamorro; Juan A. Nepomuceno; Roberto Ruiz Sánchez; Jesús S. Aguilar-Ruiz (Discovery Science, 2006)

Segmentation of Software Engineering Datasets Using the M5 Algorithm. - Daniel Rodríguez 001; Juan J. Cuadrado; Miguel-Ángel Sicilia-Urbán; Roberto Ruiz (International Conference on Computational Science (4), 2006)

RESOP: Un método para la reducción de Bases de Datos. - Isabel A. Nepomuceno-Chamorro; Juan A. Nepomuceno; Roberto Ruiz Sánchez (JISBD, 2006)

Gene Ranking from Microarray Data for Cancer Classification-A Machine Learning Approach. - Roberto Ruiz; Beatriz Pontes; Raúl Giráldez; Jesús S. Aguilar-Ruiz (KES (2), 2006)

Data Mining: Concepts and Trends. - José C. Riquelme; Roberto Ruiz; Karina Gilbert (Inteligencia Artif., 2006)

Special Issue: Data Mining. - Roberto Ruiz; Karina Gilbert; José C. Riquelme (Inteligencia Artif., 2006)

Incremental wrapper-based gene selection from microarray data for cancer classification. - Roberto Ruiz Sánchez; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (Pattern Recognit., 2006)

Attribute Selection in Software Engineering Datasets for Detecting Fault Modules. - Daniel Rodríguez 001; Roberto Ruiz; Juan Jose Cuadrado-Gallego; Jesús S. Aguilar-Ruiz; Miguel Garre (EUROMICRO-SEAA, 2007)

Detecting Fault Modules Applying Feature Selection to Classifiers. - Daniel Rodríguez 001; Roberto Ruiz; Juan Jose Cuadrado-Gallego; Jesús S. Aguilar-Ruiz (IRI, 2007)

New heuristics in feature selection for high dimensional data (thesis abstract). - Roberto Ruiz (AI Commun., 2007)

Workshop on Software Engineering for Large Scale Computing (SELSC). - Daniel Rodríguez 001; Roberto Ruiz (ICCS (3), 2008)

Identificación de Fallos en Módulos Software. - José C. Riquelme; Roberto Ruiz; Daniel Rodríguez 001 (JISBD, 2008)

Best Agglomerative Ranked Subset for Feature Selection. - Roberto Ruiz; José C. Riquelme; Jesús S. Aguilar-Ruiz (FSDM, 2008)

Preface for the Joint Workshop on Tools for Program Development and Analysis in Computational Science and Software Engineering for Large-Scale Computing. - Andreas Knüpfer; Arndt Bode; Dieter Kranzlmüller; Daniel Rodríguez 001; Roberto Ruiz; Jie Tao 001; Roland Wismüller; Jens Volkert (ICCS (2), 2009)

Apoyo a la Decisión en Ingeniería del Software (ADIS, 9ª edición). - José Cristóbal Riquelme Santos; Roberto Ruiz; Daniel Rodríguez 001 (JISBD, 2009)

Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; Roberto Ruiz; José C. Riquelme (ICANN (1), 2010)

Feature Selection Applied to Data from the Sloan Digital Sky Survey. - Miguel Á. Montero; Roberto Ruiz; Miguel García-Torres; Luis M. Sarro (IEA/AIE (1), 2010)

Apoyo a la Decisión en Ingeniería del Software (ADIS, 10ª ed.). - Roberto Ruiz; Daniel Rodríguez 001; Marta E. Zorrilla; José Jacobo Zubcoff (JISBD, 2010)

Knowledge representation and applied decision making (KREAM). - Daniel Rodríguez 001; José Javier Dolado; José C. Riquelme; Roberto Ruiz; Miguel-Ángel Sicilia (ICCS, 2010)

A Two-Phase Heuristic Construction of Feature Sets for Classification. - Miguel García-Torres; Roberto Ruiz; Belén Melián-Batista; José A. Moreno-Pérez; J. Marcos Moreno-Vega (ICTAI, 2011)

Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez; José C. Riquelme; Roberto Ruiz (IWINAC (2), 2011)

Subgroup Discovery for Defect Prediction. - Daniel Rodríguez 001; Roberto Ruiz; José C. Riquelme; Rachel Harrison (SSBSE, 2011)

Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly. - Gualberto Asencio-Cortés; Jesús S. Aguilar-Ruiz; Alfonso E. Márquez Chamorro; Roberto Ruiz; Cosme Ernesto Santiesteban-Toca (EvoBIO, 2012)

Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. - Francisco Fernández-Navarro; César Hervás-Martínez; Roberto Ruiz; José C. Riquelme (Appl. Soft Comput., 2012)

Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches. - Roberto Ruiz; José C. Riquelme; Jesús S. Aguilar-Ruiz; Miguel García-Torres (Expert Syst. Appl., 2012)

Searching for rules to detect defective modules: A subgroup discovery approach. - Daniel Rodríguez 001; Roberto Ruiz; José C. Riquelme; Jesús S. Aguilar-Ruiz (Inf. Sci., 2012)

Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez; José C. Riquelme; Roberto Ruiz (Neurocomputing, 2013)

A study of subgroup discovery approaches for defect prediction. - Daniel Rodríguez 001; Roberto Ruiz; José C. Riquelme; Rachel Harrison (Inf. Softw. Technol., 2013)

Multiobjective Predictive Control of a three-phase seven-level cascaded H-bridge converter for grid-connected photovoltaic systems. - Christian A. Rojas; Samir Kouro; Roberto Ruiz; Sebastian Rivera; Bin Wu 007; Xiaoqiang Guo (ISIE, 2015)

Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection. - Antonio J. Tallón-Ballesteros; José C. Riquelme; Roberto Ruiz Sánchez (HAIS, 2016)

Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks. - Antonio J. Tallón-Ballesteros; José Cristóbal Riquelme Santos; Roberto Ruiz Sánchez (Connect. Sci., 2016)

Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems. - Antonio J. Tallón-Ballesteros; José C. Riquelme; Roberto Ruiz (Neurocomputing, 2019)

Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning. - Antonio J. Tallón-Ballesteros; José C. Riquelme; Roberto Ruiz (Pattern Anal. Appl., 2020)

Earthquake Prediction in California Using Feature Selection Techniques. - Joaquin Roiz-Pagador; Andres Chacon-Maldonado; Roberto Ruiz; Gualberto Asencio-Cortés (SOCO, 2021)

Evolutionary feature selection on high dimensional data using a search space reduction approach. - Miguel García-Torres; Roberto Ruiz; Federico Divina (Eng. Appl. Artif. Intell., 2023)

Implementing and Evaluating Trustworthy Conversational Agents for Children. - Marina Escobar-Planas; Roberto Ruiz Sánchez; Pedro Frau-Amar; Vicky Charisi; Carlos D. Martínez-Hinarejos; Emilia Gómez; Luis Merino (CHIRA (1), 2024)

The Bethe Ansatz as a Quantum Circuit. - Roberto Ruiz; Alejandro Sopena; Max Hunter Gordon; Germán Sierra; Esperanza López (Quantum, 2024)

Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm. - P. Britto Corthis; G. P. Ramesh; Miguel García-Torres; Roberto Ruiz (Symmetry, 2024)

Tree-based biclustering of genomic time series. - Jesús S. Aguilar-Ruiz; Raúl Giráldez; Roberto Ruiz (SAC, 2025)