Publications

International Journals

Rodriguez, D, R. Ruiz, Riquelme JC, Harrison R

A Study of Subgroup Discovery Approaches for Defect Prediction

Information and Software Technology, accepted in press, 2013.

Gutiérrez-Avilés D, C Rubio-Escudero, F Martínez-Álvarez, JC Riquelme

TriGen: A Genetic Algorithm to Mine Triclusters in Temporal Gene Expression Data

Neurocomputing, accepted, in press, 2013

Martínez-Ballesteros M, IA Nepomuceno-Chamorro, JC Riquelme

Discovering Gene Association Networks by Multi-Objective Evolutionary Quantitative Association Rules

Journal of Computer and Systems Sciences, accepted, in press, 2013.

Martínez-Ballesteros M, F Martínez-Álvarez, A Troncoso, JC Riquelme

Selecting the Best Measures to Discover Quantitative Association Rules

Neurocomputing, aceppted, in press, 2013

Mateos-García D, García-Gutiérrez J, Riquelme JC

On the Evolutionary Optimization of k-NN by Label-dependent Feature Weighting

Pattern Recognition Letters, vol. 33 (16), pp. 2232-2238, 2012.

Ruiz R, JC Riquelme, JS Aguilar-Ruiz, M García-Torres

Fast Feature Selection aimed at High-dimensional Data via Hybrid-Sequential-Ranked Searches

Expert Systems with Applications, vol. 39 (12), pp. 11094-11102, 2012

Fernández-Navarro F, Hervás-Martínez C, Ruiz R, Riquelme JC

Evolutionary Generalized Radial Basis Function Neural Networks for Improving Prediction Accuracy in Gene Classification using Feature Selection

Applied Soft Computing, vol. 12 (6), pp. 1787-1800, 2012

Rodríguez D, R Ruiz, Riquelme JC, Aguilar-Ruiz JS

Searching for Rules to Detect Defective Modules: A Subgroup Discovery Approach

Information Sciences, vol. 191 , pp. 14-30, 2012

Martínez-Ballesteros M, Salcedo-Sanz S, Riquelme JC, Casanoiva-Mateo C, Camacho JL

Evolutionary Association Rules for Total Ozone Content Modelling from Satellite Observations

Chemometrics and Intelligent Laboratory Systems, 109(2), pp. 217-227, 2011

Martínez-Álvarez F, A Troncoso, JC Riquelme, JS Aguilar-Ruiz

Motif-Based Outlier Forecasting in Time Series

Pattern Recognition Letters 32, pp. 1652-1665, 2011

Martínez-Álvarez F, A Troncoso, JC Riquelme, J.S. Aguilar-Ruiz

Energy Time Series Forecasting based on Pattern Sequence Similarity

IEEE Transactions on Knowledge and Data Engineering, 23 (8), pp. 1230-1243, 2011

Garcia-Gutierrez, J. JC Riquelme

Automatic Environmental Quality Assessment for Mixed-land Zones using LIDAR and Intelligent Techniques

Expert Systems with Applications, 38 (6), pp. 6805-6813, 2011

Rodriguez, D, R. Ruiz, JC Riquelme, JS Aguilar-Ruiz

Searching for Rules to Detect Defective Modules: A Subgroup Discovery Approach

Information Sciences. accepted, in press, 2011

García-Gutiérrez J, D Mateos, JC Riquelme

EVOR-STACK: a Label-dependent Evolutive Stacking on Remote Sensing Data Fusion

Neurocomputing. accepted, in press, 2011

Martínez-Ballesteros M, F Martínez-Álvarez, A Troncoso JC Riquelme

An Evolutionary Algorithm to Discover Quantitative Association Rules in Multidimensional Time Series

Soft Computing. accepted, in press, 2011

Martínez-Ballesteros M, F Martínez, A Troncoso, JC Riquelme

Evolutionary Computation-Based Mining Quantitative Association Rules and its Application to Atmospheric Pollution

Integrated Computer-Aided Engineering, vol. 17, pp. 227–242, 2010

Nepomuceno-Chamorro IA, Aguilar-Ruiz JS, Riquelme JC

Inferring gene regression networks with model trees

BMC Bioinformatics. 11:517, 2010

Aroba J, JA Grande, JM Andujar, ML de la Torre, JC Riquelme

Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes

Environmental Geology. Vol. 53 (1), pp. 135-145, 2007

Troncoso A, Riquelme JC, Aguilar-Ruiz JS, Riquelme JM
Evolutionary Techniques applied to the optimal short-term scheduling of the electrical energy production
European Journal of Operational Research, vol. 185(3), pp. 1114-1127, 2008

JS Aguilar-Ruiz, Giráldez R, Riquelme JC
Natural Encoding for Evolutionary Supervised Learning
IEEE Transactions on Evolutionary Computation, vol. 11(4), pp. 466-479, 2007

Troncoso A, Riquelme JM, Gómez A, Martínez JL, Riquelme JC
Electricity market price forecasting based on weighted nearest neighbors techniques
IEEE Transactions on Power Systems, vol. 22 (3), pp. 1294-1301, 2007

Ruiz R., Riquelme JC, Aguilar-Ruiz JS
Incremental wrapper-based gene selection from microarray expression data for cancer classification
Pattern Recognition, vol. 39(12), pp. 2383-2392, 2006

Ferrer-Troyano F, Aguilar-Ruiz JS, Riquelme JC
Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules
Journal of Universal Computer Science, Vol. 11, nº 11, pp. 1835-1848, 2005

Riquelme JC, Polo M, Aguilar-Ruiz JS, Piattini M, Ferrer F, Ruiz F
A comparison of effort estimation methods for 4GL programs: experiences with Statistics and Data Mining
International Journal of Software Engineering and Knowledge Engineering, vol 16, nº 1, pp. 127-140, 2006

Giráldez R, JS Aguilar-Ruiz, Riquelme JC
Knowledge-based Fast Evaluation for Evolutionary Learning
IEEE Systems, Man and Cybernetics Part C, vol: 35 (2), pp.: 254-261, 2005

Álvarez JL, Mata J, Riquelme JC
Data Mining for the management of software development project
Internacional Journal of Software Engineering and Knowledge Engineering, vol. 14 (6), pp. 665- 695, 2004

Ferrer-Troyano F, Aguilar-Ruiz JS, Riquelme JC
Incremental Rule Learning and Border Examples Selection from Numerical Data Streams
Journal of Universal Computer Science, vol. 11 (8), pp. 1426-1439, 2005

Riquelme JC, Aguilar-Ruiz JS y del Valle C
Supervised Learning by means of Accuracy-aware Evolutionary Algorithms
Information Sciences, vol. 156 (3-4), pp. 173 - 188, 2003

Riquelme JC, Aguilar-Ruiz JS y Toro M
Finding representative patterns with ordered projections
Pattern Recognition, vol: 36 (4) pp. 93 - 102, 2003. Elsevier Science

Aguilar-Ruiz J, Riquelme JC y Toro M
Evolutionary Learning of Hierarchical Decision Rules
IEEE Systems, Man and Cybernetics Part B, Vol. 33 (2), pp. 324 - 331 2003.

Ruiz, R., Riquelme JC, Aguilar-Ruiz JS
Projection-based measure for efficient feature selection
Journal of Intelligent and Fuzzy Systems, vol 12 (3-4), pp. 175-183, 2002

Álvarez JL, Mata J, Riquelme JC
Método de inducción de Reglas de Clasificación Oblicuas mediante un Algoritmo Evolutivo
Revista Colombiana de Computación Vol: 3 (1), pp. 7 - 20, ISSN 1657-2831

Álvarez JL, Mata J, Riquelme JC
CG03: An oblique classification system using an evolutionary algorithm and C4.5
International Journal of Computer, Systems and Signals, vol. 2 (1), pp. 1 - 15, 2001

Aguilar J, Ramos I, Riquelme JC y Toro M.
An evolutionary approach to estimating software development projects
Information and Software Technology, vol.43 (14), pp. 875 - 882, 2001

Aguilar J, Riquelme J y Toro M.
Data set editing by ordered projection
Intelligent Data Analysis, vol. 5 (5), pp. 405 - 417, 2001

Ridao MA, Riquelme J, Camacho EF y Toro M.
An evolutionary and local search algorithm for motion planning of two manipulators
Journal of Robotic System, vol. 18 nº 8, pp. 463 - 476, 2001

Riquelme J, Aguilar J y Toro M.
Discovering hierarchical decision rules with evolutive algorithms in supervised learning
International Journal of Computer, Systems and Signals , vol. 1 nº 1, pp. 73 - 84, 2000.

Gordillo F, Toro M., Valero S. Aracil J y Riquelme J.
Optimal Control and sensitivity analysis of an energy demand model
Systems Analysis Modelling Simulation , vol 23, pp. 177 - 196 , 1996

International Conferences

Rodriguez D, M. Ruiz, JC Riquelme, R Harrison

Multiobjective Simulation Optimisation in Software Project Management

Genetic and Evolutionary Computation Conference, (GECCO), in press, 2011

Mateos-García D, J García-Gutiérrez, JC Riquelme

Label Dependent Evolutionary Feature Weighting for Remote Sensing Data

5^th International Conference on Hybrid Artificial Intelligence Systems (HAIS). LNCS 6077, pp. 272-279, 2010

García-Gutiérrez J, D Mateos-García, JC Riquelme

A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification

5^th IC on Hybrid Artificial Intelligence Systems (HAIS). LNCS 6077, pp. 493-500, 2010

Fernández-Navarro F, C Hervás-Martínez, PA Gutiérrez, R Ruiz and JC Riquelme

Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection

Int. Conf. on Artificial Neural Networks (ICANN). LNCS 6352, pp. 327-336, 2010

Martínez-Álvarez F, Troncoso A, Riquelme JC

Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences

8^th Int. Symposium on Intelligent Data Analysis, (IDA). LNCS 5772, pp. 357-368, 2009

Martínez-Ballesteros M, Martínez-Álvarez F, Troncoso A, Riquelme JC

Quantitative Association Rules Applied to Climatological Time Series Forecasting

10^th Int. Conf. on Intelligent Data Engineering and Automated Learning (IDEAL), LNCS 5788, pp. 284–291, 2009

Martínez-Álvarez F, Troncoso A, Riquelme JC, Aguilar-Ruiz JS

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

8^th IEEE Conference on Data Mining (ICDM), pp. 453-461, 2008.

Martínez-Álvarez F, Troncoso A, Riquelme JC, Aguilar-Ruiz JS

Detection of microcalcifications in mammographies based on linear pixel prediction and support-vector machines

20^th IEEE International Symposium on Computer-Based Medical Systems (CBMS), pp. 141-146, 2007

Martínez-Álvarez F, Troncoso A, Riquelme JC, Riquelme JM

Partitioning-clustering techniques applied to the electricity price time series

8^th Int. Conf. on Intelligent Data Engineering and Automated Learning (IDEAL), LNCS 4881, pp. 990-999, 2007

Ruiz R, Aguilar-Ruiz JS, Riquelme JC, Díaz-Díaz N
Analysis of feature rankings for classification
6^th International Symposium on Intelligent Data Analysis (IDA), LNCS 3646, pp.: 362-372, 2005

Ruiz R, JC Riquelme, JS Aguilar-Ruiz
Heuristic Search over a Ranking for Feature Selection
8^th International Work-Conference on Artificial Neural Networks (IWANN). LNCS 3512, pp.: 742-749, 2005

Aguilar-Ruiz J.S., D. Mateos, R. Giráldez, J.C. Riquelme
Statistical Test-based Evolutionary Segmentation of Yeast Genome
Genetic and Evolutionary Computation Conference, (GECCO). LNCS 3102, pp.: 493-494, 2004

JS Aguilar-Ruiz, F. Azuaje, JC Riquelme.
Data Mining Approaches to Diffuse Large B-cell Lymphoma Gene Expression Data Interpretation
6^th Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK),. LNCS 3181, pp.: 279-288, 2004

Ferrer F, JS Aguilar-Ruiz, JC Riquelme.
Multidimensional Data Visual Exploration by Interactive Information Segments
6^th Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK), LNCS 3181, pp.: 239-248, 2004

Ruiz R, JS Aguilar-Ruiz, JC Riquelme
Wrapper for ranking feature selection
5^th Int. Conf. on Intelligent Data Engineering and Automated Learning (IDEAL). LNCS 3177 pp: 384-389, 2004

Troncoso A, JM Riquelme, JC Riquelme, JL Martínez, A Gómez
Time-series prediction: application to the short-term electric energy demand
10^th Conf. de la Asoc. Española para la Int. Artificial (CAEPIA), LNAI 3040, pp: 577-586, 2004

Troncoso A, JC Riquelme, JL Martínez, JM Riquelme, A Gómez
Applications of evolutionary computation techniques to the optimal short-term scheduling of the electrical energy production
10^th Conf. de la Asoc. Española para la Int. Artificial (CAEPIA), LNAI 3040, pp: 656-665, 2004

FJ Ferrer-Troyano, JS Aguilar-Ruiz, JC Riquelme, DS Rodríguez-Baena
Mining Low Dimensionality Data Streams of Continuous Attributes
11^th Portuguese Conference on Artificial Intelligence (EPIA), LNAI 2902 pp: 264-278, 2003

A Troncoso, JC Riquelme, JL Martínez Ramos, JM. Riquelme, A Gómez
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production
11^th Portuguese Conference on Artificial Intelligence (EPIA), LNAI 2902, pp. 189-203 , 2003

Ruiz R, JC Riquelme, JS Aguilar-Ruiz
Fast feature ranking algorithm
7^th Int. Conf. on Knowledge-Based Intelligent Information & Engineering Systems (KES). LNAI 2773, pp. 325-331, 2003

Ruiz R, JC Riquelme, JS Aguilar-Ruiz
NLC: A Measure Based on Projections
14^th Int. Conf. on Database and Expert Systems Applications (DEXA), LNCS 2736, pp. 907-916, 2003

Álvarez JL, J Mata, JC Riquelme, I Ramos
A Data Mining method to support decision making in software development projects
Fifth International Conference on Enterprise Information Systems (ICEIS), 2003

Giráldez R, Aguilar-Ruiz JS, JC Riquelme

Natural Coding: A more efficient representation for evolutionary learning

Genetic and Evolutionary Computation Conference (GECCO) LNCS 2723, pp. 979-990, 2003

Ruiz R, JS Aguilar-Ruiz, JC Riquelme
Fast feature selection by means of projection
16th Int. Conf. on Industrial & Engineering Applications of Art. Intell. & Expert Systems (IEA/AIE) LNAI 2718, pp. 461-470, 2003

Ferrer-Troyano F, Aguilar-Ruiz JS, Riquelme JC
Prototype-based mining of numeric data streams
18th ACM Symposium on Applied Computing (SAC). pp. 480-484, 2003

Giráldez R, Aguilar-Ruiz JS,, Riquelme JC
An efficient data structure for decision rules discovery
18th ACM Symposium on Applied Computing (SAC), pp: 475-479, 2003

Aguilar-Ruiz JS, JC Riquelme, D Rodríguez-Baena, I Ramos
Generation of management rules through system dynamics and evolutionary computation
4^th Int. C. on Product Focused Software Process Improvement (PROFES). LNCS 2559, pp. 615-628, 2002

Ruiz R, JS Aguilar-Ruiz, JC Riquelme
SOAP: Efficient feature selection of numeric attributes

VIII Iberoamerican Conference on Artificial Intelligence (IBERAMIA), LNAI 2527, pp. 233-242, 2002

Troncoso A, JC Riquelme, JM Riquelme, JL Martínez JL, A Gómez
Electricity market price forecasting neural networks versus weighted-distance k nearest neighbours
13^th Int. Conf. on Database and Expert Systems Applications (DEXA ) LNCS 2453, pp. 321-330, 2002

Troncoso A, JM Riquelme, JC Riquelme, A Gómez, JL Martínez
A comparison of two techniques for next-day electricity price forecasting
III Int. Conf. on Intelligent Data Eng. and Automated Learning (IDEAL). LNCS 2412, pp. 384 – 390, 2002

JS Aguilar-Ruiz, JC Riquelme, C. del Valle
Improving the Evolutionary Coding for Machine Learning Tasks
16th European Conference on Artificial Intelligence (ECAI), pp. 173 - 177, 2002

Mata J, Alvarez JL y Riquelme JC
Discovering Numeric Association Rules via Evolutionary Algorithm
6^th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD), LNAI 2336, pp. 40-51, 2002

Alvarez JL, Mata J, Riquelme JC
Mining Interesting Regions using an Evolutionary Algorithm
17th ACM Symposium on Applied Computing (SAC), Proceedings, pp. 498-502, 2002

Mata J, Alvarez JL, Riquelme JC
An evolutionary algorithm to discover numeric associated rules
17th ACM Symposium on Applied Computing (SAC), Proceedings, pp. 590-594, 2002

Giráldez, R, JS Aguilar-Ruiz, JC Riquelme, FJ Ferrer-Troyano, DS Rodriguez-Baena
Discretization oriented to decision rules generation
VI Int. Conf. on Knowledge-Based Intelligent Inform. & Engineering Systems (KES), pp. 275-279, 2002

FJ Ferrer-Troyano, R Giráldez, JC Riquelme, JS Aguilar-Ruiz, DS Rodriguez-Baena
Local nearest neighbor by competition
VI Int. Conf. on Knowledge-Based Intelligent Inform. & Engineering Systems (KES), pp. 260-264, 2002

Vallejo CG, Rodríguez F, Bautista S y Riquelme J
Analysis of environmental thresholds for runoff and erosion through qualitative reasoning methods
Third Int. Conf. on Ecosystems and Sustainable Development (ECOSUD), 2001

Ramos, I., J. Riquelme, J. Aroba
Improvements in the Decision Making in Software Projects: Application of Data Mining Techniques
International Conference on Artificial Intelligence (IC-AI), pp. 757-763, 2001

J Tuya, P Fernández, MA Prieto, J Aguilar, I Ramos, J Riquelme, F Ferrer, M Toro, M Ruiz-Carreira, Daniel Rodriguez-García,M Satpathy, R Harrison, A Ruiz de Infante, JJ Dolado, R Matilla, MA Álvarez
Integration of Information in a Training Environment for Software Project Management
9^th Annual Int. Conf. of Software Quality Management (SQM), pp. 31-42, 2001

Mata J, Alvarez JL y Riquelme J
Mining numeric association rules with genetic algorithms
5^th Int. Conf. on Artificial Neural Networks and Genetic Algorithms (ICANNGA) , pp. 264-267, 2001

FJ Ferrer, JS Aguilar, JC Riquelme
Non-Parametric Nearest Neighbour with Local Adaptation
10th Portuguese Conference on Artificial Intelligence (EPIA), LNAI 2258, pp. 22 - 29, 2001

Ramos I, J. Aroba, J.C. Riquelme
Improvements in the Decision Making in Software Projects
Third International Conference on Enterprise Information Systems (ICEIS), pp. 431-436, 2001

Alvarez JL, Mata J y Riquelme J
OBLIC: Classification System using Evolutionary Algorithm
Bio-Inspired Applications of Connectionism.. Springer-Verlag.

6th Int. Work-Conf. on Artif. and Natural Neural Networks (IWANN), LNCS 2085, pp. 644 - 651, 2001

Riquelme J.C., Giráldez R, Aguilar J y Ruiz R
Separation surfaces through genetic programming
14^th I. C. on Indust. & Eng. App. of Artif. Intell. & Exp. Sys. (IEA/AIE), LNAI 2070, pp. 428- 433, 2001

Aguilar J, Ruiz R, Riquelme J.C. y Giráldez R.
SNN: a supervised clustering algorithm
14^th I. C. on Indust. & Eng. App. of Artif. Intell. & Exp. Sys. (IEA/AIE), LNAI 2070, pp. 207-216, 2001

Aguilar J, Riquelme J y Toro M
Data set editing by ordered projection
14^th European Conference on Artificial Intelligence (ECAI), pp. 251-255, 2000

Alvarez JL, Riquelme J y Mata J
Obtención de reglas de clasificación semicualitativas utilizando algoritmos genéticos y el C4.5
7^th Iberoamerican Conf. on Artificial Intelligence (IBERAMIA), Open proceedings, pp. 147-156, 2000

Aguilar J, Riquelme J. y Toro M.
Data set editing by ordered projection
14th European Conference on Artificial Intelligence (ECAI), Proceedings, pp. 251-256, 2000

Aroba J, Ramos I, Riquelme J.
Decision making in software projects using fuzzy clustering algorithms
Software Process Simulation and Modelling (PROSIM), 2000

Ramos I, Aguilar J, Riquelme J y Toro M.
A new method for obtaining software project management rules
VIII Software Quality Management (SQM), Approaches to quality management, pp. 149-160, 2000

Aguilar J, Riquelme J y Toro M
Three geometric approaches for representing decision rules in a supervised learning system
Genetic and Evolutionary Computation Conference (GECCO), Proceedings, pp. 771, 1999

Riquelme J, Aguilar J y Toro M
A decision queue based on genetic algorithms: axis parallel classifier versus rotated hyperboxes
IEEE-IMACS 3rd World Multi-Conf. on Circuits, Systems, Comm. and Computers (CSCC), Computational Intelligence and Applications, pp. 123-128, 1999

Ridao MA, Riquelme J, Camacho EF y Toro M
Automatic generation of collision-free programs for multiple manipulators using evolutive algorithms
IEEE-IMACS 3rd World Multi-Conf. on Circuits, Systems, Commun. and Computers (CSCC), Computational Intelligence and Applications, pp. 239-244, 1999

Ramos I, Riquelme J.
The dynamic models for software development projects and the machine learning techniques
International Conf. on Product Focused Software Process Improvement (PROFES '99), Proceedings, pp. 560-574, 1999

Aguilar J, Riquelme J y Toro M.
Decision queue classifier for supervised learning using rotated hyperboxes
6^th Iberoamerican Conf. on Artificial Intelligence (IBERAMIA) LNAI 1484, pp. 326-336, 1998.

Aguilar J, Riquelme J y Toro M.
A tool to obtain a hierarchical qualitative rules from quantitative data

11^th I.C. on Ind. & Engin. App. of Art. Intell. & Expert Systems (IEA-AIE), LNAI 1415, pp. 336-346, 1998

Ridao MA, Riquelme J, Camacho EF y Toro M
An evolutionary + local search algorithm for planning two manipulators motion
11^th I.C. on Ind. & Engin. App. of Art. Intell. & Expert Systems (IEA-AIE). LNAI 1416, pp. 105-114,1998.

Riquelme J, Ridao MA, Camacho EF y Toro M.
Using genetic algotithm with variable-length individuals for planning two manipulators robot
Artificial Neural Networks and Genetic Algorithms, pp. 26 - 30, 1998.

Riquelme J y Toro M.
Search and linguistic description of connected regions in quantitative data
IFAC-IFIP-IMACS Conference on control of industrial systems, Proceedings Volumen 3, pp. 310-316, 1997

Riquelme J, Ridao MA, Camacho EF y Toro M
Using genetic algorithm with variable-length individuals for planning two manipulators robot
International Conf. on Artificial Neural Networks and Genetic Algorithms (ICANNGA), pp. 26-30, 1997

Ridao MA, Riquelme J, Camacho EF, Toro M
Coordinated motion planning of manipulators by evolution strategies
Tenth Int. Conf. on Application of A.I. in Engineering (AIENG), Application of Artificial Intelligence in Engineerieng X, pp. 245-252, 1995

Riquelme J, Toro M, Valero S, Aracil J.
Sensitivity analysis of an energy demand model
Fourth Int. Symposium on Systems Analysis and Simulation (SAS), Procedings, pp. 263-268, 1992

Riquelme J., Toro M., Valero S. y Aracil J.
Sensitivity analysis of an energy demand model
Computational Systems Analysis, pp. 263- 268, 1992

Toro M, Riquelme J y Aracil J
Classifying system behaviour modes by statistical search in the parameter space
European Simulation MultiConference (ESMC), Modelling and Simulation, pp. 181-185, 1992