Jesús S. Aguilar-Ruiz

发表

A local search in Scatter Search for improving Biclusters

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Knowledge-based fast evaluation for evolutionary learning

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Knowledge discovery from doctor-patient relationship

Federico Divina, Jesús S. Aguilar-Ruiz, Raquel Costa, 2004, SAC '04.

Editorial message: special track on data streams

Jesús S. Aguilar-Ruiz, Francisco J. Ferrer-Troyano, 2006, SAC.

Experimental Evaluation of Discretization Schemes for Rule Induction

Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, 2004, GECCO.

Gene-gene interaction based clustering method for microarray data

Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez, Norberto Díaz-Díaz, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Measuring the Quality of Shifting and Scaling Patterns in Biclusters

Jesús S. Aguilar-Ruiz, Raúl Giráldez, Beatriz Pontes, 2010, PRIB.

Three Geometric Approaches for representing Decision Rules in a Supervised Learning System

Miguel Toro, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 1999, GECCO.

Special track on Data Streams: editorial message

André Carlos Ponce de Leon Ferreira de Carvalho, Jesús S. Aguilar-Ruiz, João Gama, 2008, SAC '08.

Improved biclustering on expression data through overlapping control

Federico Divina, Jesús S. Aguilar-Ruiz, Raúl Giráldez, 2009, Int. J. Intell. Comput. Cybern..

Prototype-based mining of numeric data streams

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2003, SAC '03.

Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel García-Torres, 2012, Expert Syst. Appl..

Discovery of motifs to forecast outlier occurrence in time series

Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2011, Pattern Recognit. Lett..

A Measure for Data Set Editing by Ordered Projections

Juan A. Nepomuceno, Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, 2006, IEA/AIE.

Statistical Test-Based Evolutionary Segmentation of Yeast Genome

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos, 2004, GECCO.

Classification model for data streams based on similarity

Jesús S. Aguilar-Ruiz, Dayrelis Mena Torres, Yanet Rodríguez, 2011, IEA/AIE'11.

Biclustering on expression data: A review

Jesús S. Aguilar-Ruiz, Raúl Giráldez, Beatriz Pontes, 2015, J. Biomed. Informatics.

Visual Data Mining

Jesús S. Aguilar-Ruiz, Francisco J. Ferrer-Troyano, 2005, J. Univers. Comput. Sci..

Evolutionary Neuroestimation of Fitness Functions

Jesús S. Aguilar-Ruiz, Daniel Mateos, Domingo S. Rodríguez, 2003, EPIA.

Jesús S. Aguilar-Ruiz, Dayrelis Mena Torres, D. Torres, 2014, Expert Syst. Appl..

Incremental rule learning based on example nearness from numerical data streams

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2005, SAC '05.

Introduction: Background and purpose

Jesús S. Aguilar-Ruiz, Alfonso E. Márquez-Chamorro, S. Phulara, 2021, Biotechnology of Terpenoid Production from Microbial Cell Factories.

Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms

Jesús S. Aguilar-Ruiz, Raúl Giráldez, Beatriz Pontes, 2006, KES.

Visualización de Consultas mediante Segementación de Dimensiones Significativas

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2002, JISBD.

Gene association analysis: a survey of frequent pattern mining from gene expression data

Jesús S. Aguilar-Ruiz, Ronnie Alves, Domingo S. Rodríguez-Baena, 2010, Briefings Bioinform..

Evolutionary computation for biclustering of gene expression

Federico Divina, Jesús S. Aguilar-Ruiz, 2005, SAC '05.

Natural Evolutionary Coding: An Application to Estimating Software Development Projects

Isabel M. Ramos, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2002, GECCO Late Breaking Papers.

Searching for Rules to find Defective Modules in Unbalanced Data Sets

Jesús S. Aguilar-Ruiz, Roberto Ruiz, Daniel Rodríguez, 2009, 2009 1st International Symposium on Search Based Software Engineering.

A Novel Approach for Avoiding Overlapping Among Biclusters in Expression Data

Federico Divina, Jesús S. Aguilar-Ruiz, Raúl Giráldez, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

DTP: Decision Tree-Based Predictor of Protein Contact Map

Jesús S. Aguilar-Ruiz, Cosme Ernesto Santiesteban-Toca, J. Aguilar-Ruiz, 2011, IEA/AIE.

Non-parametric Nearest Neighbor with Local Adaptation

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2001, EPIA.

Supervised learning by means of accuracy-aware evolutionary algorithms

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Carmelo Del Valle, 2003, Inf. Sci..

Evolutionary segmentation of yeast genome

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Daniel Mateos, 2004, SAC '04.

Biclustering of Gene Expression Data Based on Local Nearness

Jesús S. Aguilar-Ruiz, Dan A. Simovici, Domingo S. Rodríguez, 2006, EGC.

Soft computing methods for the prediction of protein tertiary structures: A survey

Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, Alfonso E. Márquez Chamorro, 2015, Appl. Soft Comput..

Scatter search-based identification of local patterns with positive and negative correlations in gene expression data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2015, Appl. Soft Comput..

A new multiple classifier system for the prediction of protein's contacts map

Jesús S. Aguilar-Ruiz, Cosme Ernesto Santiesteban-Toca, 2015, Inf. Process. Lett..

SEGESOFT: Entorno de Entrenamiento para la Gestión de Proyectos Software

Miguel Toro, José Javier Dolado, Javier Tuya, 2001, JISBD.

Separation Surfaces through Genetic Programming

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos, 2001, IEA/AIE.

Incremental Rule Learning and Border Examples Selection from Numerical Data Streams

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2005, J. Univers. Comput. Sci..

Discovering hierarchical decision rules with evolutive algorithms in supervised learning

Miguel Toro, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2000, Int. J. Comput. Syst. Signals.

Visualization techniques of management rules for software development projects

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Jacinto Mata Vázquez, 2003, Third International Conference on Quality Software, 2003. Proceedings..

Discretization by Maximal Global Goodness

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos, 2002, FSKD.

A biclustering algorithm for extracting bit-patterns from binary datasets

Jesús S. Aguilar-Ruiz, Domingo S. Rodríguez-Baena, Antonio J. Pérez-Pulido, 2011, Bioinform..

An Overlapping Control–Biclustering Algorithm from Gene Expression Data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor

Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, Alfonso E. Márquez Chamorro, 2012, EvoBIO.

Using Short-Range Interactions and Simulated Genetic Strategy to Improve the Protein Contact Map Prediction

Jesús S. Aguilar-Ruiz, Milton García-Borroto, Cosme Ernesto Santiesteban-Toca, 2012, MCPR.

SOAP: Efficient Feature Selection of Numeric Attributes

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2002, IBERAMIA.

Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features

Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, 2012, Bioinform..

An efficient data structure for decision rules discovery

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos, 2003, SAC '03.

Improving the Evolutionary Coding for Machine Learning Tasks

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Carmelo Del Valle, 2002, ECAI.

Mining Low Dimensionality Data Streams of Continuous Attributes

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2003, EPIA.

Building Transcriptional Association Networks in Cytoscape with RegNetC

Jesús S. Aguilar-Ruiz, Isabel A. Nepomuceno-Chamorro, Alfonso E. Márquez Chamorro, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly

Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, Roberto Ruiz Sánchez, 2012, EvoBIO.

Inferring gene coexpression networks with Biclustering based on Scatter Search

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

A multi-objective genetic algorithm for the Protein Structure Prediction

Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Data set Editing by Ordered Projection

Miguel Toro, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2000, Intell. Data Anal..

Databases Reduction Simultaneously by Ordered Projection

Juan A. Nepomuceno, Jesús S. Aguilar-Ruiz, Roberto Ruiz Sánchez, 2006, Discovery Science.

Algoritmo de Aprendizaje de Reglas de Decisión a partir de Flujos de Datos Transaccionales

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2002, JISBD.

Finding representative patterns with ordered projections

Miguel Toro, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2003, Pattern Recognit..

An Evolutionary Approach for Protein Contact Map Prediction

Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, 2011, EvoBio.

Fast Feature Ranking Algorithm

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2003, KES.

Gene Ranking from Microarray Data for Cancer Classification-A Machine Learning Approach

Jesús S. Aguilar-Ruiz, Raúl Giráldez, Beatriz Pontes, 2006, KES.

Removing examples and discovering Hierarchical Decision Rules: With Evolutionary Algorithms

Jesús S. Aguilar-Ruiz, 2001, AI Commun..

Data Streams J.UCS Special Issue

Jesús S. Aguilar-Ruiz, João Gama, 2005, J. Univers. Comput. Sci..

Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2005, J. Univers. Comput. Sci..

Knowledge discovery from data streams

Jesús S. Aguilar-Ruiz, Ralf Klinkenberg, João Gama, 2009, Intell. Data Anal..

Fast Feature Selection by Means of Projections

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2003, IEA/AIE.

Pairwise gene GO-based measures for biclustering of high-dimensional expression data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2018, BioData Mining.

An Efficient Nearest Neighbor Method for Protein Contact Prediction

Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, Alfonso E. Márquez Chamorro, 2015, HAIS.

Learning Decision Rules by Means of Hybrid-Encoded Evolutionary Algorithms

Jesús S. Aguilar-Ruiz, José C. Riquelme, J. Aguilar-Ruiz, 2005 .

Evolutionary Search of Biclusters by Minimal Intrafluctuation

Federico Divina, Jesús S. Aguilar-Ruiz, Raúl Giráldez, 2007, 2007 IEEE International Fuzzy Systems Conference.

Técnicas de Visualización de Reglas de Gestión para Proyectos de Desarrollo Software

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Jacinto Mata Vázquez, 2002, JISBD.

Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production

Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2008, Eur. J. Oper. Res..

Editorial message: special track on data streams

Jesús S. Aguilar-Ruiz, S. Muthukrishnan, J. Aguilar-Ruiz, 2004, SAC '05.

Gene Networks Validation based on Metabolic Pathways

Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Francisco Gómez-Vela, 2011, 2011 IEEE 11th International Conference on Bioinformatics and Bioengineering.

NLC: A Measure Based on Projections

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2003, DEXA.

Evolutionary metaheuristic for biclustering based on linear correlations among genes

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2010, SAC '10.

LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series

Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Removing examples and discovering Hierarchical Decision Rules

Jesús S. Aguilar-Ruiz, 2001 .

Predicting protein distance maps according to physicochemical properties

Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, 2011, J. Integr. Bioinform..

Generation of Management Rules through System Dynamics and Evolutionary Computation

Isabel M. Ramos, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2002, PROFES.

FACIL - An approach for classifying data streams by decision rules and border examples

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2007, Monde des Util. Anal. Données.

Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor

Federico Divina, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro, 2013, CIARP.

Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2010, EvoBIO.

Analysis of Feature Rankings for Classification

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Norberto Díaz-Díaz, 2005, IDA.

Synergies of genes in Alzheimer's disease

Jesús S. Aguilar-Ruiz, Isabel A. Nepomuceno-Chamorro, 2013, IWBBIO.

Knowledge Discovery in Lymphoma Cancer from Gene-Expression

Francisco Azuaje, Jesús S. Aguilar-Ruiz, 2004, IDEAL.

Neighborhood-Based Clustering of Gene-Gene Interactions

Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro, 2006, IDEAL.

Shifting and scaling patterns from gene expression data

Jesús S. Aguilar-Ruiz, J. Aguilar-Ruiz, 2005, Bioinform..

Inferring gene regression networks with model trees

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Isabel A. Nepomuceno-Chamorro, 2010, BMC Bioinformatics.

Configurable pattern-based evolutionary biclustering of gene expression data

Jesús S. Aguilar-Ruiz, Raúl Giráldez, Beatriz Pontes, 2012, Algorithms for Molecular Biology.

A framework for extracting information with semantics from the Web - An application to knowledge discovery for Web agents

Rafael Corchuelo, Jesús S. Aguilar-Ruiz, José Luis Arjona, 2002, Int. J. Comput. Syst. Signals.

A NSGA-II Algorithm for the Residue-Residue Contact Prediction

Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, 2012, EvoBIO.

Pattern Recognition in Biological Time Series

Jesús S. Aguilar-Ruiz, Francisco Martínez-Álvarez, Carlos D. Barranco, 2011, CAEPIA.

Incremental wrapper-based gene selection from microarray data for cancer classification

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2006, Pattern Recognit..

Clustering Main Concepts from e-Mails

Paul R. Cohen, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2003, CAEPIA.

Indexación de Datos para la Evaluación Rápida de Reglas de Decisión

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos, 2002, JISBD.

Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines

Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07).

GA-based approach to discover meaningful biclusters

Federico Divina, Jesús S. Aguilar-Ruiz, J. Aguilar-Ruiz, 2005, GECCO '05.

Detecting Fault Modules Applying Feature Selection to Classifiers

Jesús S. Aguilar-Ruiz, Juan Jose Cuadrado-Gallego, Daniel Rodríguez, 2007, 2007 IEEE International Conference on Information Reuse and Integration.

Filling the gap between biology and computer science

Jason H. Moore, Jesús S. Aguilar-Ruiz, Marylyn D. Ritchie, 2008, BioData Mining.

Discovering alpha -Patterns from Gene Expression Data

Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro, 2007, IDEAL.

Biclustering of expression data with evolutionary computation

Federico Divina, Jesús S. Aguilar-Ruiz, J. Aguilar-Ruiz, 2006, IEEE Transactions on Knowledge and Data Engineering.

Una comparativa de métodos para la estimación del esfuerzo en programmas 4GL: experiencias con Estadística y Minería de Datos

Mario Piattini, Jesús S. Aguilar-Ruiz, Macario Polo, 2002, JISBD.

Empirical Evaluation of the Difficulty of Finding a Good Value of k for the Nearest Neighbor

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2003, International Conference on Computational Science.

Selección de atributos relevantes basada en bootstrapping

Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Norberto Díaz-Díaz, 2005 .

An evolutionary approach to estimating software development projects

Isabel M. Ramos, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2001, Inf. Softw. Technol..

GO-based Functional Dissimilarity of Gene Sets

Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, J. Aguilar-Ruiz, 2011, BMC Bioinformatics.

Is it Possible to Find a Pattern of k for the Nearest Neighbor?

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2002, IC-AI.

Multidimensional Data Visual Exploration by Interactive Information Segments

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2004, DaWaK.

An Overview on Learning from Data Streams

Jesús S. Aguilar-Ruiz, Pedro Pereira Rodrigues, João Gama, 2006, New Generation Computing.

A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2009, PRIB.

An Instance Based Learning Model for Classification in Data Streams with Concept Change

Jesús S. Aguilar-Ruiz, Dayrelis Mena Torres, Yanet Rodríguez, 2012, 2012 11th Mexican International Conference on Artificial Intelligence.

A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction

Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, Alfonso E. Márquez Chamorro, 2011, EvoBio.

Evolutionary computation for the prediction of secondary protein structures

Federico Divina, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro, 2011, SAC '11.

Protein secondary structures prediction based on evolutionary computation

Federico Divina, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro, 2011, SIAP.

Information Fusion in Biological Network Inference

Jesús S. Aguilar-Ruiz, Davide Angeli, J. Aguilar-Ruiz, 2018 .

Evolutionary decision rules for predicting protein contact maps

Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, 2014, Pattern Analysis and Applications.

Heuristic Search over a Ranking for Feature Selection

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2005, IWANN.

Biclustering of Gene Expression Data by Correlation-Based Scatter Search

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2011, BioData Mining.

Best Agglomerative Ranked Subset for Feature Selection

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2008, FSDM.

Attribute Selection in Software Engineering Datasets for Detecting Fault Modules

Jesús S. Aguilar-Ruiz, Juan Jose Cuadrado-Gallego, Miguel Garre, 2007, 33rd EUROMICRO Conference on Software Engineering and Advanced Applications (EUROMICRO 2007).

Data streams classification by incremental rule learning with parameterized generalization

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2006, SAC '06.

Alpha Helix Prediction Based on Evolutionary Computation

Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, 2010, PRIB.

Natural Coding: A More Efficient Representation for Evolutionary Learning

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos, 2003, GECCO.

An Approach to Reduce the Cost of Evaluation in Evolutionary Learning

Jesús S. Aguilar-Ruiz, Raúl Giráldez, Norberto Díaz-Díaz, 2005, IWANN.

Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation

Francisco Azuaje, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2004, DaWaK.

Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2016, HAIS.

A Pomset-Based Model for Estimating Workcells' Setups in Assembly Sequence Planning

Jesús S. Aguilar-Ruiz, Carmelo Del Valle, Rafael Ceballos, 2002, IBERAMIA.

Orientando a Aspectos la captura de datos de Internet para activar Reglas de Decisión en Agentes Web

Rafael Corchuelo, Miguel Toro, Jesús S. Aguilar-Ruiz, 2001, JISBD.

A Comparison of Effort Estimation Methods for 4gl Programs: Experiences with Statistics and Data Mining

Mario Piattini, Jesús S. Aguilar-Ruiz, Macario Polo, 2006, Int. J. Softw. Eng. Knowl. Eng..

Gene Regulatory Networks Validation Framework Based in KEGG

Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Francisco Gómez-Vela, 2011, HAIS.

Evolutionary biclustering based on expression patterns

Jesús S. Aguilar-Ruiz, Raúl Giráldez, Beatriz Pontes, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes

Miguel Toro, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 1998, Ibero-American Conference on AI.

Knowledge discovery from data streams: Guest Editorial

Jesús S. Aguilar-Ruiz, João Gama, J. Aguilar-Ruiz, 2007 .

Reduccion de Bases de Datos

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2003, JISBD.

Feature influence for evolutionary learning

Jesús S. Aguilar-Ruiz, Raúl Giráldez, 2005, GECCO '05.

Prediction of Protein Distance Maps by Assembling Fragments According to Physicochemical Similarities

Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, Alfonso E. Márquez Chamorro, 2011, PACBB.

Evolutionary learning of hierarchical decision rules

Miguel Toro, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2003, IEEE Trans. Syst. Man Cybern. Part B.

Natural Encoding for Evolutionary Supervised Learning

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos, 2007, IEEE Transactions on Evolutionary Computation.

A Decision Tree-Based Method for Protein Contact Map Prediction

Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, Alfonso E. Márquez Chamorro, 2011, EvoBio.

Minería de Textos y Datos aplicadas a la Extracción de Conocimiento a partir de Mensajes de Correo Electronico

Paul R. Cohen, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 2003, JISBD.

Projection-based measure for efficient feature selection

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2002, J. Intell. Fuzzy Syst..

Searching for rules to detect defective modules: A subgroup discovery approach

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Daniel Rodríguez, 2012, Inf. Sci..

CarGene: Characterisation of sets of genes based on metabolic pathways analysis

Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro, 2011, Int. J. Data Min. Bioinform..

Residue-Residue Contact Prediction Based on Evolutionary Computation

Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés, 2011, PACBB.

Integrating biological knowledge based on functional annotations for biclustering of gene expression data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2015, Comput. Methods Programs Biomed..

Biclusters Evaluation Based on Shifting and Scaling Patterns

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2007, IDEAL.

A Tool to Obtain a Hierarchical Qualitative Rules form Quantitative Data

Miguel Toro, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 1998, IEA/AIE.

Databases Reduction

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2004, ICEIS.

Discovering decision rules from numerical data streams

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, 2004, SAC '04.

Wrapper for Ranking Feature Selection

Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez, 2004, IDEAL.

An efficient decision rule-based system for the protein residue-residue contact prediction

Jesús S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina, 2013, 2013 IEEE Congress on Evolutionary Computation.

Prognostic transcriptional association networks: a new supervised approach based on regression trees

Francisco Azuaje, Jesús S. Aguilar-Ruiz, Isabel A. Nepomuceno-Chamorro, 2011, Bioinform..

A Deterministic Model to Infer Gene Networks from Microarray Data

Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez, Norberto Díaz-Díaz, 2007, IDEAL.

A multi-objective approach to discover biclusters in microarray data

Federico Divina, Jesús S. Aguilar-Ruiz, J. Aguilar-Ruiz, 2007, GECCO '07.

Rule learning from data streams: an overview

Jesús S. Aguilar-Ruiz, J. Aguilar-Ruiz, 2007, Monde des Util. Anal. Données.

Extending Probabilistic Encoding for Discovering Biclusters in Gene Expression Data

Jesús S. Aguilar-Ruiz, Raúl Giráldez, Francisco Javier Gil-Cumbreras, 2016, HAIS.

SNN: A Supervised Clustering Algorithm

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos, 2001, IEA/AIE.

Evolutionary Biclustering of Microarray Data

Federico Divina, Jesús S. Aguilar-Ruiz, 2005, EvoWorkshops.

A novel probabilistic encoding for EAs applied to biclustering of microarray data

Federico Divina, Wim Vanhoof, Jesús S. Aguilar-Ruiz, 2011, GECCO '11.

Evolutionary Protein Contact Maps Prediction Based on Amino Acid Properties

Federico Divina, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro, 2011, HAIS.

An effective measure for assessing the quality of biclusters

Federico Divina, Jesús S. Aguilar-Ruiz, Raúl Giráldez, 2012, Comput. Biol. Medicine.

Virtual Error: A New Measure for Evolutionary Biclustering

Federico Divina, Jesús S. Aguilar-Ruiz, Raúl Giráldez, 2007, EvoBIO.

Una herramienta basada en algoritmos genéticos para obtener un clasificador jerárquico en aprendizaje supervisado

Miguel Toro, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, 1998, Inteligencia Artif..

Discretization oriented to Decision Rules Generation

Jesús S. Aguilar-Ruiz, Raúl Giráldez, José C. Riquelme, 2001 .