Journal Contributions: Accepted
Jump to Year: 2012 2011 2010
2012 |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
A. Palacios, J. Alcala-Fdez. Mining Fuzzy Association Rules from Low Quality Data. Soft Computing, doi: 10.1007/s00500-011-0775-3 (2012) In press |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
C. Romero, P.G. Espejo, A. Zafra, J.R. Romero, S. Ventura. Web Usage Mining for Predicting Final Marks of Students that Use Moodle Courses. Computer Applications in Engineering Education (2012) In press |
|
 |
bib |
| |
| |
C. Romero, A. Zafra, J.M. Luna, S. Ventura. Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Systems: The Journal of Knowledge Engineering (2012) In press |
|
bib |
| |
| |
J. Sedano, E. Corchado, L. Curiel, J.R. Villar. Optimising the Operating Conditions in a High Precision Industrial Process Using Soft Computing. Expert Systems (2012) In press |
|
 |
bib |
| |
| |
A. Zafra, S. Ventura. Multi-Objective Approach Based on Grammar-Guided Genetic Programming for Solving Multiple Instance Problems. Soft Computing (2012) In press |
|
bib |
| |
2011 |
| |
G. Corral, A. Garcia-Piquer, A. Orriols-Puig, A. Fornells, E. Golobardes. Analysis of Vulnerability Assessment Results based on CAOS. Applied Soft Computing (2011) In press |
|
bib |
| |
| |
|
|
 |
bib |
| |
| |
I. Couso, D. Dubois. Rough Sets, Coverings and Incomplete Information. Fundamenta Informaticae (2011) In press |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J.M. Luna, J.R. Romero, S. Ventura. Design and Behaviour Study of a Grammar Guided Genetic Programming Algorithm for Mining Association Rules. Knowledge and Information Systems (2011) In press |
|
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J. Sedano, J.R. Villar, L. Curiel, E. Corchado, E.A. de la Cal. Learning and training techniques in fuzzy control for energy efficiency in buildings. Logic Journal of the IGPL (2011) In press |
|
 |
bib |
| |
| |
A. Zafra, M. Pechenizkiy, S. Ventura. HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning . Information Sciences (2011) In press |
|
bib |
| |
2010 |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
Journal Contributions: Published
Jump to Year: 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003
2012 |
| |
A. Cano, A. Zafra, S. Ventura. Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Computing, DOI: 10.1007/s00500-011-0713-4 16:2 (2012) 187-202 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J.G. Moreno-Torres, T. Raeder, R. Alaiz-Rodriguez, N. Chawla, F. Herrera. A unifying view on dataset shift in classification. Pattern Recognition 45 (2012) 521-530 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
A. Zafra, M. Pechenizkiy, S. Ventura. ReliefF-MI: An extension of ReliefF to Multiple Instance Learning. Neurocomputing 75:1 (2012) 210-218 |
|
bib |
| |
2011 |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J. Luengo, F. Herrera. Shared Domains of Competence of Approximative Models using Measures of Separability of Classes. Information Sciences 185:1 (2011) 43-65 |
|
 |
bib |
| |
| |
J.L. Olmo, J.R. Romero, S. Ventura. Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 41:6 (2011) 1585-1599 |
|
 |
bib |
| |
| |
A. Orriols-Puig, J. Casillas. Fuzzy knowledge representation study for incremental learning in data streams and classification problems. Soft Computing 15:12 (2011) 2389-2414 |
|
 |
bib |
| |
| |
R. Riego, J. Otero, J. Ranilla. A low-cost 3D human interface device using GPU-based optical flow algorithms. Integrated Computer-Aided Engineering 18:4 (2011) 391-400 |
|
 |
bib |
| |
| |
M.A. Rodriguez, D.M. Escalante, A. Peregrin. Efficient Distributed Genetic Algorithm for Rule extraction. Applied Soft Computing 11:1 (2011) 733-743 |
|
 |
bib |
| |
| |
C. Romero, S. Ventura. Preface to the Special Issue on Data Mining for Personalised Educational Systems.. User Modeling and User-Adapted Interaction 21:1-2 (2011) 1-3 |
|
 |
bib |
| |
| |
C. Romero, J.M. Luna, J.R. Romero, S. Ventura. RM-Tool: A framework for discovering and evaluating association rules. Advances in Engineering Software 42 (2011) 566-576 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J. Sedano, A. Berzosa, J.R. Villar, E. Corchado, E.A. de la Cal. Optimising operational costs using Soft Computing techniques. Integrated Computer-Aided Engineering 18:4 (2011) 313-325 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
A. Zafra, E. Gibaja, S. Ventura. Multi-instance Learning with Multi-Objective Genetic Programming for Web Mining. Applied Soft Computing 11:1 (2011) 93-102 |
|
bib |
| |
| |
A. Zafra, C. Romero, S. Ventura. . Multiple Instance Learning for Classifying Students in Learning Management Systems. Expert Systems With Applications 38 (2011) 15020-15031 |
|
 |
bib |
| |
2010 |
| |
J. Alcala-Fdez, N. Flugy-Pape, A. Bonarini, F. Herrera. Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules. Fundamenta Informaticae 98:1 (2010) 1-14 |
|
 |
bib |
| |
| |
F.J. Berlanga, A.J. Rivera, M.J. del Jesus, F. Herrera. GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Information Sciences 180:8 (2010) 1183-1200 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
P.G. Espejo, S. Ventura, F. Herrera. A Survey on the Application of Genetic Programming to Classification. IEEE Transactions on Systems, Man and Cybernetics: Part C 40:2 (2010) 121-144 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J. Luengo, F. Herrera. Domains of Competence of Fuzzy Rule Based Classification Systems with Data Complexity measures: A case of study using a Fuzzy Hybrid Genetic Based Machine Learning Method. Fuzzy Sets and Systems, doi:10.1016/j.fss.2009.04.001 161:1 (2010) 3-19 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
D. Nettleton, A. Orriols-Puig, A. Fornells. A Study of the Effect of Different Types of Noise on the Precision of Supervised Learning Techniques. Artificial Intelligence Review 33:4 (2010) 275-306 |
|
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
C. Romero, S. Ventura. Educational Data Mining: A Review of the State-of-the-Art.. IEEE Transaction on Systems, Man, and Cybernetics, Part C 40:6 (2010) 601-618 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J. Sedano, E. Corchado, J.R. Villar, L. Curiel, E.A. de la Cal. Detection of Heat Flux failures in Building using a Soft computing Diagnostic System. Neural Network World 20:7 (2010) 883-898 |
|
 |
bib |
| |
| |
J. Sedano, L. Curiel, E. Corchado, E.A. de la Cal, J.R. Villar. A soft computing method for detecting lifetime building thermal insulation failures. Integrated Computer-Aided Engineering 17:2 (2010) 103-115 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
A. Zafra, S. Ventura. G3P-MI: A Genetic Programming Algorithm for Multiple Instance Learning. Information Sciences 180:23 (2010) 4496-4513 |
|
bib |
| |
2009 |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
C. Romero, S. Ventura, P. de Bra. Using Mobile and Web-based Computerized Test for Evaluating University Students. Computer Applications in Engineering Education 17:4 (2009) 435-447 |
|
bib |
| |
| |
C. Romero, A. Zafra, S. Ventura, P. de Bra. Applying Web Usage Mining for Personalizing Hyperlinks in Web-based Adaptive Educational Systems. Computers and Education 53 (2009) 828-840 |
|
bib |
| |
| |
|
|
 |
bib |
| |
| |
J. Sedano, J.R. Villar, E. Corchado, L. Curiel, P. Bravo. The application of a two-step AI model to an Automated Pneumatic Drilling Process. International Journal of Computer Mathematics 86:10 (2009) 1769-1777 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J.R. Villar, E.A. de la Cal, J. Sedano. A Fuzzy Logic Based Efficient Energy Saving Approach for Domestic Heating Systems. Integrated Computer-Aided Engineering 16:2 (2009) 151-163 |
|
 |
bib |
| |
| |
A. Zafra, C. Romero, S. Ventura, E. Herrera-Viedma. Multi-Instance Genetic Programming For Web Index Recommendation. Expert Systems with Applications 36 (2009) 11470-11479 |
|
bib |
| |
2008 |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
F. Herrera. Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects. Evolutionary Intelligence 1 (2008) 27-46 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
M. Lozano, F. Herrera, J.R. Cano. Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms. Information Science 178:23 (2008) 4421-4433 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
2007 |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J.R. Cano, F. Herrera, M. Lozano. Evolutionary Stratified training set selection for extracting classification rules with trade-off Precision-Interpretability. Data and Knowledge Engineering 60:1 (2007) 90-108 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J. Casillas, B. Carse, L. Bull. Fuzzy-XCS: a Michigan genetic fuzzy system. IEEE Transactions on Fuzzy Systems 15:4 (2007) 536-550 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
M. Mucientes, J. Casillas. Quick design of fuzzy controllers with good interpretability in mobile robotics. IEEE Transactions on Fuzzy Systems 15:4 (2007) 636-661 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
A.J. Rivera, I. Rojas, J. Ortega, M.J. del Jesus. A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Computing 11:7 (2007) 655-668 |
|
 |
bib |
| |
| |
C. Romero, S. Ventura. Educational data mining: a survey from 1995 to 2005. Expert Systems with Applications 33:1 (2007) 135-146 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
2006 |
| |
|
|
 |
bib |
| |
| |
J.R. Cano, F. Herrera, M. Lozano. On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing 6:3 (2006) 323-332 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
F. Herrera, M. Lozano, D. Molina. Continuous Scatter Search: An Analysis of the Integration of Some Combination Methods and Improvement Strategies. European Journal of Operational Research 169:2 (2006) 450-476 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
2005 |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
J.R. Cano, F. Herrera, M. Lozano. Stratification for Scaling Up Evolutionary Prototype Selection. Pattern Recognition Letters 26:7 (2005) 953-963 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
2004 |
| |
M.G. Arenas, J.G. Castellano, J.J. Merelo, V.M. Rivas. Evolving RBF neural networks for time-series forecasting with EvRBF. Information Sciences 165:3-4 (2004) 207-220 |
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
|
|
 |
bib |
| |
| |
M. Lozano, F. Herrera, N. Krasnogor, D. Molina. Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation 12:3 (2004) 273-302 |
|
 |
bib |
| |
| |
C. Romero, S. Ventura, P. de Bra. Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. User Modeling and User-Adapted Interaction 14 (2004) 425-464 |
|
 |
bib |
| |
2003 |
| |
|
|
 |
bib |
| |
| |
J.R. Cano, F. Herrera, M. Lozano. Using Evolutionary Algorithms as Instance Selection for Data Reduction in KDD: An Experimental Study. IEEE Transactions on Evolutionary Computation 7:6 (2003) 561-575 |
|
 |
bib |
| |
 Top of the page
|