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ORCIDJosé M. Puerta
José Miguel Puerta – José Miguel Puerta Callejón
Person information
- affiliation: University of Castilla-La Mancha, Albacete, Spain
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2020 – today
- 2025
[j42]Ricardo Montañana
, José A. Gámez, José M. Puerta:
ODTE - An ensemble of multi-class SVM-based oblique decision trees. Expert Syst. Appl. 273: 126833 (2025)- [c58]Pablo Torrijos, José A. Gámez, José M. Puerta, Juan A. Aledo:
Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning. GECCO 2025: 481-489 - [i7]Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez:
Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search. CoRR abs/2502.01527 (2025) - [i6]Pablo Torrijos, Juan C. Alfaro, José A. Gámez, José M. Puerta:
Federated Learning with Discriminative Naive Bayes Classifier. CoRR abs/2502.01532 (2025) - [i5]Pablo Torrijos, José A. Gámez, José M. Puerta:
FedGES: A Federated Learning Approach for BN Structure Learning. CoRR abs/2502.01538 (2025) - [i4]Pablo Torrijos, José M. Puerta, José A. Gámez, Juan A. Aledo:
Informed Greedy Algorithm for Scalable Bayesian Network Fusion via Minimum Cut Analysis. CoRR abs/2504.00467 (2025) - 2024
- [j41]Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez:
Distributed fusion-based algorithms for learning high-dimensional Bayesian Networks: Testing ring and star topologies. Int. J. Approx. Reason. 175: 109302 (2024) - [j40]Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez:
Parallel structural learning of Bayesian networks: Iterative divide and conquer algorithm based on structural fusion. Knowl. Based Syst. 296: 111840 (2024) - [j39]Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José M. Puerta:
Evaluation of data augmentation techniques on subjective tasks. Mach. Vis. Appl. 35(4): 99 (2024) - [c57]Pablo Torrijos, José A. Gámez, José M. Puerta:
Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms. CEC 2024: 1-8 - [c56]Pablo Torrijos, José A. Gámez, José M. Puerta:
FedGES: A Federated Learning Approach for Bayesian Network Structure Learning. DS (2) 2024: 83-98 - [c55]Guillermo Fernández, José A. Gámez, José M. Puerta, Juan A. Aledo, Jose Maria Alonso-Moral, Alberto Bugarín:
A User Study on the Utility of Context-Aware Explanations for Assisting Data Scientists in Error Analysis of Fuzzy Decision Trees. FUZZ 2024: 1-8 - [c54]Guillermo Fernández, Riccardo Guidotti, Fosca Giannotti, Mattia Setzu, Juan A. Aledo, José A. Gámez, José M. Puerta:
FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers. IDA (2) 2024: 197-209 - [c53]Pablo Torrijos, Juan C. Alfaro, José A. Gámez, José M. Puerta:
Federated Learning with Discriminative Naive Bayes Classifier. IDEAL (2) 2024: 328-339 - [c52]Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez:
Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search. IPMU (1) 2024: 403-414 - [d9]Ricardo Montañana Gómez, José A. Gámez, José M. Puerta:
FImdlp: Discretization Library. Zenodo, 2024
- [d8]Ricardo Montañana, José A. Gámez, José M. Puerta:
STree. Version v1.3.2. Zenodo, 2024 [all versions] - [d7]Ricardo Montañana, José A. Gámez, José M. Puerta:
STree. Version v1.4.0. Zenodo, 2024 [all versions] - [d6]Ricardo Montañana, José A. Gámez, José M. Puerta:
STree. Version 1.4.0. Zenodo, 2024 [all versions] - [d5]Ricardo Montañana, José Antonio Gámez, José Miguel Puerta:
Odte. Zenodo, 2024 - [i3]Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez:
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks. CoRR abs/2409.13314 (2024) - [i2]Ricardo Montañana, José A. Gámez, José M. Puerta:
ODTE - An ensemble of multi-class SVM-based oblique decision trees. CoRR abs/2411.13376 (2024) - 2023
- [j38]Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José M. Puerta:
Novel groundtruth transformations for the aesthetic assessment problem. Inf. Process. Manag. 60(4): 103368 (2023) - [c51]Pablo Torrijos, José A. Gámez, José M. Puerta:
MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data. EANN 2023: 131-143 - [c50]Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez:
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks. ECSQARU 2023: 123-135 - [i1]Pablo Torrijos, José A. Gámez, José M. Puerta:
MiniAnDE: a reduced AnDE ensemble to deal with microarray data. CoRR abs/2311.12879 (2023) - 2022
- [j37]Fernando Rubio, M. Julia Flores, José M. Puerta:
Ranking-based scores for the assessment of aesthetic quality in photography. Signal Process. Image Commun. 108: 116803 (2022) - [j36]Guillermo Fernández, Juan A. Aledo, José Antonio Gámez, José M. Puerta:
Factual and Counterfactual Explanations in Fuzzy Classification Trees. IEEE Trans. Fuzzy Syst. 30(12): 5484-5495 (2022) - 2021
- [j35]Fernando Rubio Perona, María Julia Flores Gallego, José Miguel Puerta Callejón:
An Application for Aesthetic Quality Assessment in Photography with Interpretability Features. Entropy 23(11): 1389 (2021) - [j34]José M. Puerta, Juan A. Aledo, José A. Gámez, Jorge D. Laborda:
Efficient and accurate structural fusion of Bayesian networks. Inf. Fusion 66: 155-169 (2021) - [c49]Ricardo Montañana, José A. Gámez, José M. Puerta:
STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines. CAEPIA 2021: 54-64 - [d4]Ricardo Montañana, José A. Gámez, José M. Puerta:
STree. Version v1.2.3. Zenodo, 2021 [all versions] - [d3]Ricardo Montañana, José A. Gámez, José M. Puerta:
STree. Version 1.2.3. Zenodo, 2021 [all versions] - [d2]Ricardo Montañana, José A. Gámez, José M. Puerta:
STree. Version 1.2.3. Zenodo, 2021 [all versions] - [d1]Ricardo Montañana, José A. Gámez, José M. Puerta:
STree. Version 1.2.3. Zenodo, 2021 [all versions]
2010 – 2019
- 2019
- [c48]José M. Puerta, Juan A. Aledo, José Antonio Gámez, Jorge D. Laborda:
Structural Fusion/Aggregation of Bayesian Networks via Greedy Equivalence Search Learning Algorithm. ECSQARU 2019: 432-443 - [c47]Luis de la Ossa, Pablo Bermejo, Juan A. Aledo, José A. Gámez, José M. Puerta, Cristina Romero-González, Jacinto Arias, Javier Cózar, Enrique González Rodrigo, Juan Ignacio Alonso-Barba, Jesus Martínez-Gómez:
CiDAEN: An Online Data Science Course. HELMeTO 2019: 113-124 - 2018
- [j33]Juan Ignacio Alonso-Barba, Luis de la Ossa, José A. Gámez, José M. Puerta:
On the use of local search heuristics to improve GES-based Bayesian network learning. Appl. Soft Comput. 64: 366-376 (2018) - [j32]Pablo Bermejo, José A. Gámez, José M. Puerta:
Adapting the CMIM algorithm for multilabel feature selection. A comparison with existing methods. Expert Syst. J. Knowl. Eng. 35(1) (2018) - [c46]Jacinto Arias, José A. Gámez, José M. Puerta:
Bayesian Network Classifiers Under the Ensemble Perspective. PGM 2018: 1-12 - 2017
- [j31]Javier Cózar, José M. Puerta, José A. Gámez:
An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study. Int. J. Comput. Intell. Syst. 10(1): 176-195 (2017) - [j30]José A. Gámez, Francisco Herrera, José M. Puerta:
Guest Editorial: Recent Trends in Intelligent Systems. Int. J. Intell. Syst. 32(2): 107-108 (2017) - [j29]Amparo Alonso-Betanzos, José A. Gámez, Francisco Herrera, José M. Puerta, José C. Riquelme:
Volume, variety and velocity in Data Science. Knowl. Based Syst. 117: 1-2 (2017) - [j28]Jacinto Arias, José A. Gámez, José M. Puerta:
Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark. Knowl. Based Syst. 117: 16-26 (2017) - [j27]Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José M. Puerta:
Integration of contextual information into the scene classification problem. Robotics Auton. Syst. 97: 171-181 (2017) - [j26]Antonio Jesús Díaz-Honrubia, Johan De Praeter, Glenn Van Wallendael, José Luis Martínez, Pedro Cuenca, José M. Puerta, José A. Gámez:
CTU splitting algorithm for H.264/AVC and HEVC simultaneous encoding. J. Supercomput. 73(1): 190-202 (2017) - [c45]Rafael Rivera-López, Juana Canul-Reich, José A. Gámez, José M. Puerta:
OC1-DE: A Differential Evolution Based Approach for Inducing Oblique Decision Trees. ICAISC (1) 2017: 427-438 - [c44]Fernando Rubio, M. Julia Flores, José M. Puerta:
Drawing a baseline in aesthetic quality assessment. ICMV 2017: 106961M - 2016
- [j25]Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José M. Puerta:
Comparison between Bayesian network classifiers and SVMs for semantic localization. Expert Syst. Appl. 64: 434-443 (2016) - [j24]Jacinto Arias, José A. Gámez, Thomas D. Nielsen, José M. Puerta:
A scalable pairwise class interaction framework for multidimensional classification. Int. J. Approx. Reason. 68: 194-210 (2016) - [j23]Antonio Jesús Díaz-Honrubia, Gabriel Cebrián-Márquez, José Luis Martínez, Pedro Cuenca, José Miguel Puerta, José Antonio Gámez:
Low-complexity heterogeneous architecture for H.264/HEVC video transcoding. J. Real Time Image Process. 12(2): 311-327 (2016) - [j22]Antonio Jesús Díaz-Honrubia, José Luis Martínez, Pedro Cuenca, José Antonio Gámez, José Miguel Puerta:
Adaptive Fast Quadtree Level Decision Algorithm for H.264 to HEVC Video Transcoding. IEEE Trans. Circuits Syst. Video Technol. 26(1): 154-168 (2016) - [c43]Pablo Bermejo, José A. Gámez, José M. Puerta, Marco A. Esquivias, Pedro J. Tárraga:
Construction of a Semi-Naive Model to Predict Early Readmission of COPD Patients by Using Quality Care Information. ICDM Workshops 2016: 233-240 - 2015
- [j21]Sara Sáez-Atienzar, Jesus Martínez-Gómez, Juan Ignacio Alonso-Barba, José Miguel Puerta, María F. Galindo, Joaquín Jordán, Luis de la Ossa:
Automatic quantification of the subcellular localization of chimeric GFP protein supported by a two-level Naive Bayes classifier. Expert Syst. Appl. 42(3): 1531-1537 (2015) - [j20]Jacinto Arias, José A. Gámez, José M. Puerta:
Structural Learning of Bayesian Networks Via Constrained Hill Climbing Algorithms: Adjusting Trade-off between Efficiency and Accuracy. Int. J. Intell. Syst. 30(3): 292-325 (2015) - [c42]Antonio Jesús Díaz-Honrubia, José Luis Martínez, Pedro Cuenca, José Antonio Gámez, José Miguel Puerta:
A Data-Driven Probabilistic CTU Splitting Algorithm for Fast H.264/HEVC Video Transcoding. DCC 2015: 449 - [c41]Juan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José M. Puerta:
Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. GECCO 2015: 543-550 - [c40]Jacinto Arias, José A. Gámez, José M. Puerta:
Scalable Learning of k-dependence Bayesian Classifiers under MapReduce. TrustCom/BigDataSE/ISPA (2) 2015: 25-32 - [e1]José M. Puerta, José A. Gámez, Bernabé Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar:
Advances in Artificial Intelligence - 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, Albacete, Spain, November 9-12, 2015, Proceedings. Lecture Notes in Computer Science 9422, Springer 2015, ISBN 978-3-319-24597-3 [contents] - 2014
- [j19]Pablo Bermejo, José A. Gámez, José M. Puerta:
Speeding up incremental wrapper feature subset selection with Naive Bayes classifier. Knowl. Based Syst. 55: 140-147 (2014) - [c39]Antonio Jesús Díaz-Honrubia, José Luis Martínez, José M. Puerta, José A. Gámez, Jan De Cock, Pedro Cuenca:
Fast quadtree level decision algorithm for H.264/HEVC transcoder. ICIP 2014: 2497-2501 - [c38]Jacinto Arias, José A. Gámez, Thomas D. Nielsen, José M. Puerta:
A Pairwise Class Interaction Framework for Multilabel Classification. Probabilistic Graphical Models 2014: 17-32 - 2013
- [j18]Juan Ignacio Alonso-Barba, Luis delaOssa, José A. Gámez, José M. Puerta:
Scaling up the Greedy Equivalence Search algorithm by constraining the search space of equivalence classes. Int. J. Approx. Reason. 54(4): 429-451 (2013) - [c37]Pablo Bermejo, Marta Lucas, José A. Rodríguez-Montes, Pedro J. Tárraga, Javier Lucas, José A. Gámez, José M. Puerta:
Single- and Multi-label Prediction of Burden on Families of Schizophrenia Patients. AIME 2013: 115-124 - [c36]Jacinto Arias, José A. Gámez, José M. Puerta:
Learning more Accurate Bayesian Networks in the CHC Approach by Adjusting the Trade-Off between Efficiency and Accuracy. CAEPIA 2013: 310-320 - 2012
- [j17]Pablo Bermejo, Luis de la Ossa, José A. Gámez, José M. Puerta:
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking. Knowl. Based Syst. 25(1): 35-44 (2012) - [j16]José A. Gámez, Juan L. Mateo, José M. Puerta:
One iteration CHC algorithm for learning Bayesian networks: an effective and efficient algorithm for high dimensional problems. Prog. Artif. Intell. 1(4): 329-346 (2012) - [c35]Pablo Bermejo, Luis Redondo, Luis delaOssa, Daniel Rodríguez, M. Julia Flores, Carmen Urea, José A. Gámez, Jesus Martínez-Gómez, José M. Puerta:
Evaluation of a Thermal-Comfort Control System Using Real Data. KES 2012: 746-755 - 2011
- [j15]M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta:
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter? Appl. Intell. 34(3): 372-385 (2011) - [j14]José A. Gámez, Juan L. Mateo, José M. Puerta:
Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood. Data Min. Knowl. Discov. 22(1-2): 106-148 (2011) - [j13]Pablo Bermejo, José A. Gámez, José M. Puerta:
Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets. Expert Syst. Appl. 38(3): 2072-2080 (2011) - [j12]Pablo Bermejo, José A. Gámez, José M. Puerta:
Improving Incremental Wrapper-Based Subset Selection via Replacement and Early Stopping. Int. J. Pattern Recognit. Artif. Intell. 25(5): 605-625 (2011) - [j11]Pablo Bermejo, José A. Gámez, José M. Puerta:
A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets. Pattern Recognit. Lett. 32(5): 701-711 (2011) - [j10]Juan Ignacio Alonso-Barba, Luis delaOssa, José M. Puerta:
Structural learning of Bayesian networks using local algorithms based on the space of orderings. Soft Comput. 15(10): 1881-1895 (2011) - [j9]María José del Jesus, José A. Gámez, Pedro González, José M. Puerta:
On the discovery of association rules by means of evolutionary algorithms. WIREs Data Mining Knowl. Discov. 1(5): 397-415 (2011) - [c34]Pablo Bermejo, Luis de la Ossa, José M. Puerta:
Global Feature Subset Selection on High-Dimensional Datasets Using Re-ranking-based EDAs. CAEPIA 2011: 54-63 - [c33]Javier Cózar, Luis de la Ossa, José M. Puerta:
Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms. CAEPIA 2011: 353-362 - [c32]Juan Ignacio Alonso-Barba, Luis de la Ossa, José A. Gámez, José M. Puerta:
Scaling Up the Greedy Equivalence Search Algorithm by Constraining the Search Space of Equivalence Classes. ECSQARU 2011: 194-205 - [c31]Pablo Bermejo, Luis de la Ossa, José A. Gámez, José M. Puerta:
Enhancing Incremental Feature Subset Selection in High-Dimensional Databases by Adding a Backward Step. ISCIS 2011: 93-97 - [c30]Juan Ignacio Alonso-Barba, Luis delaOssa, José M. Puerta:
Efficient and sound evaluation when learning Bayesian networks in the space of orderings based on local methods. ISDA 2011: 611-618 - [c29]Pablo Bermejo, Luis de la Ossa, José A. Gámez, José M. Puerta:
A study on different backward feature selection criteria over high-dimensional databases. ISDA 2011: 1300-1305 - 2010
- [c28]Luis delaOssa, José A. Gámez, José M. Puerta:
Learning cooperative linguistic fuzzy rules using fast local search algorithms. FUZZ-IEEE 2010: 1-8 - [c27]Alejandro Revuelta-Martínez, Ismael García-Varea, José M. Puerta, Luis Rodríguez:
ISDM at ImageCLEF 2010 Fusion Task. ICPR Contests 2010: 109-118 - [c26]M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta:
Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers. IEA/AIE (1) 2010: 570-579 - [c25]Pablo Bermejo, José A. Gámez, José M. Puerta:
Improving Incremental Wrapper-Based Feature Subset Selection by Using Re-ranking. IEA/AIE (1) 2010: 580-589
2000 – 2009
- 2009
- [j8]Luis de la Ossa, José A. Gámez, José M. Puerta:
Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms. Int. J. Approx. Reason. 50(3): 541-560 (2009) - [j7]María José del Jesus, José A. Gámez, José M. Puerta:
Evolutionary and metaheuristics based data mining. Soft Comput. 13(3): 209-212 (2009) - [c24]Luis de la Ossa, José A. Gámez, Juan L. Mateo, José M. Puerta:
Avoiding premature convergence in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2009: 455-462 - [c23]Pablo Bermejo, José A. Gámez, José M. Puerta:
Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection. CIDM 2009: 367-374 - [c22]M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta:
HODE: Hidden One-Dependence Estimator. ECSQARU 2009: 481-492 - [c21]M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta:
GAODE and HAODE: two proposals based on AODE to deal with continuous variables. ICML 2009: 313-320 - [c20]Pablo Bermejo, Frank Hopfgartner, José A. Gámez, José M. Puerta, Joemon M. Jose:
Comparison of balancing techniques for multimedia IR over imbalanced datasets. ISCIS 2009: 674-679 - [c19]Juan Ignacio Alonso-Barba, Luis delaOssa, José M. Puerta:
Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings. ISDA 2009: 1435-1440 - 2008
- [c18]José A. Gámez, Juan L. Mateo, José M. Puerta:
Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions. GECCO 2008: 407-414 - [c17]Juan Ignacio Alonso-Barba, José A. Gámez, José Miguel Puerta, Ismael García-Varea:
Gait Optimization in AIBO Robots Using an Estimation of Distribution Algorithm. HIS 2008: 150-155 - 2007
- [j6]Luis de la Ossa, M. Julia Flores, José A. Gámez, Juan L. Mateo, José M. Puerta:
Initial breeding value prediction on Manchego sheep by using rule-based systems. Expert Syst. Appl. 33(1): 96-109 (2007) - [c16]José A. Gámez, Juan L. Mateo, José M. Puerta:
A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning. ECSQARU 2007: 585-597 - [c15]José A. Gámez, Juan L. Mateo, José M. Puerta:
Learning Bayesian Classifiers from Dependency Network Classifiers. ICANNGA (1) 2007: 806-813 - [c14]Pablo Bermejo, José A. Gámez, José M. Puerta:
Attribute Construction for E-Mail Foldering by Using Wrappered Forward Greedy Search. ICEIS (2) 2007: 247-252 - [c13]José A. Gámez, Juan L. Mateo, José M. Puerta:
EDNA: Estimation of Dependency Networks Algorithm. IWINAC (1) 2007: 427-436 - [c12]José A. Gámez, Juan L. Mateo, José M. Puerta:
Improving Revisitation Browsers Capability by Using a Dynamic Bookmarks Personal Toolbar. WISE 2007: 643-652 - 2006
- [j5]M. Julia Flores, José A. Gámez, Juan L. Mateo, José M. Puerta:
Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos. Inteligencia Artif. 10(29): 69-77 (2006) - [j4]Luis de la Ossa, José A. Gámez, José M. Puerta:
Initial approaches to the application of islands-based parallel EDAs in continuous domains. J. Parallel Distributed Comput. 66(8): 991-1001 (2006) - [c11]Luis delaOssa, José A. Gámez, José M. Puerta:
Learning weighted linguistic fuzzy rules with estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2006: 900-907 - [c10]Luis de la Ossa, José A. Gámez, José M. Puerta:
Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking. Hybrid Metaheuristics 2006: 42-56 - [c9]José A. Gámez, Juan L. Mateo, José M. Puerta:
Dependency networks based classifiers: learning models by using independence. Probabilistic Graphical Models 2006: 115-122 - [p1]M. Julia Flores, José A. Gámez, José M. Puerta:
Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology. Towards a New Evolutionary Computation 2006: 259-280 - 2005
- [c8]Luis de la Ossa, José A. Gámez, José M. Puerta:
Improving model combination through local search in parallel univariate EDAs. Congress on Evolutionary Computation 2005: 1426-1433 - [c7]José A. Gámez, José Miguel Puerta:
Constrained Score+(Local)Search Methods for Learning Bayesian Networks. ECSQARU 2005: 161-173 - [c6]Luis de la Ossa, José A. Gámez, José Miguel Puerta:
Initial Approaches to the Application of Islands-Based Parallel EDAs in Continuous Domains. ICPP Workshops 2005: 580-587 - 2004
- [c5]Luis de la Ossa, José A. Gámez, José Miguel Puerta:
Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs. PPSN 2004: 242-252 - 2003
- [j3]Luis M. de Campos, Juan M. Fernández-Luna, José Miguel Puerta:
An iterated local search algorithm for learning Bayesian networks with restarts based on conditional independence tests. Int. J. Intell. Syst. 18(2): 221-235 (2003) - [c4]Luis de la Ossa, José A. Gámez, José M. Puerta:
Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach. CAEPIA 2003: 384-393 - 2002
- [j2]Luis M. de Campos, Juan M. Fernández-Luna, José A. Gámez, José M. Puerta:
Ant colony optimization for learning Bayesian networks. Int. J. Approx. Reason. 31(3): 291-311 (2002) - [j1]José A. Gámez, José M. Puerta:
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization. Pattern Recognit. Lett. 23(1-3): 261-277 (2002) - [c3]Luis M. de Campos, Juan M. Fernández-Luna, José Miguel Puerta:
Local Search Methods for Learning Bayesian Networks Using a Modified Neighborhood in the Space of DAGs. IBERAMIA 2002: 182-192 - [c2]Luis M. de Campos, José A. Gámez, José Miguel Puerta:
Graphical Models to Causal Discovery from Data. Probabilistic Graphical Models 2002 - 2001
- [c1]Luis M. de Campos, José Miguel Puerta:
Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings. ECSQARU 2001: 228-239
Coauthor Index
M. Julia Flores
aka: María Julia Flores Gallego
aka: María Julia Flores Gallego
José A. Gámez 0001
aka: José Antonio Gámez
aka: José Antonio Gámez
[j42] [c58] [i7] [i6] [i5] [i4] [j41] [j40] [c57] [c56] [c55] [c54] [c53] [c52] [d9] [d8] [d7] [d6] [d5] [i3] [i2] [c51] [c50] [i1] [j36] [j34] [c49] [d4] [d3] [d2] [d1] [c48] [c47] [j33] [j32] [c46] [j31] [j30] [j29] [j28] [j26] [c45] [j24] [j23] [j22] [c43] [j20] [c42] [c41] [c40] [e1] [j19] [c39] [c38] [j18] [c37] [c36] [j17] [j16] [c35] [j15] [j14] [j13] [j12] [j11] [j9] [c32] [c31] [c29] [c28] [c26] [c25] [j8] [j7] [c24] [c23] [c22] [c21] [c20] [c18] [c17] [j6] [c16] [c15] [c14] [c13] [c12] [j5] [j4] [c11] [c10] [c9] [p1] [c8] [c7] [c6] [c5] [c4] [j2] [j1] [c2]
Ricardo Montañana
aka: Ricardo Montañana Gómez
aka: Ricardo Montañana Gómez
Luis de la Ossa
aka: Luis delaOssa
aka: Luis delaOssa
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to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-10-23 02:00 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
