2022
|
Moyano, J M; Ventura, S Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers Journal Article Information Fusion, 78 , pp. 1-19, 2022, ISSN: 1566-2535. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning @article{Moyano:2022a_INFFUS,
title = {Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers},
author = {Moyano, J. M. and Ventura, S.},
url = {http://www.sciencedirect.com/science/article/pii/S1566253521001469},
doi = {10.1016/j.inffus.2021.07.005},
issn = {1566-2535},
year = {2022},
date = {2022-01-01},
journal = {Information Fusion},
volume = {78},
pages = {1-19},
keywords = {Classification, Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Belmonte, A; Zafra, A; Gibaja, E MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning Journal Article Neurocomputing, 2022. Links | BibTeX | Tags: Data Science, Library, Multi-instance Learning, Multi-label Learning, Software, Supervised Learning @article{belmonte2022miml,
title = {MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning},
author = {Belmonte, A. and Zafra, A. and Gibaja, E.},
url = {https://www.sciencedirect.com/science/article/pii/S0925231222006518},
doi = {10.1016/j.neucom.2022.05.068},
year = {2022},
date = {2022-01-01},
journal = {Neurocomputing},
publisher = {Elsevier},
keywords = {Data Science, Library, Multi-instance Learning, Multi-label Learning, Software, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Luna, J M; Ventura, S Reducing the label space a predefined ratio for a more efficient multi-label classification Journal Article IEEE Access, 10 , pp. 76480-76492, 2022, ISSN: 2169-3536. Links | BibTeX | Tags: Classification, Data Science, Multi-label Learning, Supervised Learning @article{Moyano:2022b_IEEEAccess,
title = {Reducing the label space a predefined ratio for a more efficient multi-label classification},
author = {Moyano, J. M. and Luna, J. M. and Ventura, S.},
url = {https://ieeexplore.ieee.org/document/9833489},
doi = {10.1109/ACCESS.2022.3192642},
issn = {2169-3536},
year = {2022},
date = {2022-01-01},
journal = {IEEE Access},
volume = {10},
pages = {76480-76492},
keywords = {Classification, Data Science, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Luna, J M; Ventura, S Improving the Performance of Multi-Label Classifiers via Label Space Reduction Inproceedings 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), pp. 1–6, IEEE 2022. BibTeX | Tags: Data Preprocessing, Multi-label Learning @inproceedings{moyano2022improving,
title = {Improving the Performance of Multi-Label Classifiers via Label Space Reduction},
author = {Moyano, J. M. and Luna, J. M. and Ventura, S.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)},
pages = {1--6},
organization = {IEEE},
keywords = {Data Preprocessing, Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2020
|
Gonzalez-Lopez, J; Ventura, S; Cano, A Distributed multi-label feature selection using individual mutual information measures Journal Article Knowledge-Based Systems, 188 , pp. 1-13, 2020. Links | BibTeX | Tags: Feature Selection, Multi-label Learning @article{Gonzalez-Lopez2019,
title = {Distributed multi-label feature selection using individual mutual information measures},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {https://www.sciencedirect.com/science/article/pii/S0950705119304459},
doi = {10.1016/j.knosys.2019.105052},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {188},
pages = {1-13},
keywords = {Feature Selection, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms Journal Article Knowledge-Based Systems, 196 , pp. 105770, 2020, ISSN: 0950-7051. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @article{Moyano:2020a_KBS,
title = {Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0950705120301726},
doi = {10.1016/j.knosys.2020.105770},
issn = {0950-7051},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {196},
pages = {105770},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming Inproceedings 2020 IEEE Congress on Evolutionary Computation, CEC 2020, pp. 1-8, 2020. Links | BibTeX | Tags: Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning @inproceedings{Moyano:2020c_CEC,
title = {Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9185661},
doi = {10.1109/CEC48606.2020.9185661},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE Congress on Evolutionary Computation, CEC 2020},
pages = {1-8},
keywords = {Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms Inproceedings 24th European Conference on Artificial Intelligence, ECAI 2020, pp. 497, 2020. Links | BibTeX | Tags: Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{Moyano:2020b_ECAI,
title = {Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {https://ecai2020.eu/papers/497_paper.pdf},
doi = {10.3233/FAIA200242},
year = {2020},
date = {2020-01-01},
booktitle = {24th European Conference on Artificial Intelligence, ECAI 2020},
pages = {497},
keywords = {Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2019
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S An evolutionary approach to build ensembles of multi-label classifiers Journal Article Information Fusion, 50 , pp. 168-180, 2019, ISSN: 1566-2535. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @article{Moyanoa2018b_INFFUS,
title = {An evolutionary approach to build ensembles of multi-label classifiers},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {http://www.sciencedirect.com/science/article/pii/S1566253518302574},
doi = {10.1016/j.inffus.2018.11.013},
issn = {1566-2535},
year = {2019},
date = {2019-01-01},
journal = {Information Fusion},
volume = {50},
pages = {168-180},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Gonzalez-Lopez, J; Ventura, S; Cano, A ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11538 LNCS , pp. 173-179, 2019. Links | BibTeX | Tags: Big Data, Multi-label Learning, Spark @article{Gonzalez-Lopez2019173,
title = {ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067787447&doi=10.1007%2f978-3-030-22744-9_13&partnerID=40&md5=422268786d29fffb303135f987aff6bb},
doi = {10.1007/978-3-030-22744-9_13},
year = {2019},
date = {2019-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {11538 LNCS},
pages = {173-179},
keywords = {Big Data, Multi-label Learning, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Ventura, S; Cano, A Speeding up classifier chains in multi-label classification Inproceedings IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, pp. 29-37, 2019. Links | BibTeX | Tags: Classification, Multi-label Learning, Scalability, Supervised Learning @inproceedings{Moyano201929,
title = {Speeding up classifier chains in multi-label classification},
author = {Moyano, J. M. and Gibaja, E. and Ventura, S. and Cano, A.},
url = {http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007614200290037},
year = {2019},
date = {2019-01-01},
booktitle = {IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security},
pages = {29-37},
keywords = {Classification, Multi-label Learning, Scalability, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gonzalez-Lopez, J; Ventura, S; Cano, A Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information Journal Article IEEE Transactions on Neural Networks and Learning Systems, pp. 1–14, 2019, ISSN: 2162-237X. Links | BibTeX | Tags: Feature Selection, Multi-label Learning @article{Gonzalez-Lopez2019b,
title = {Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {https://ieeexplore.ieee.org/abstract/document/8877992},
doi = {10.1109/tnnls.2019.2944298},
issn = {2162-237X},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
pages = {1--14},
keywords = {Feature Selection, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
2018
|
Reyes, O; Cano, A; Fardoun, H; Ventura, S A locally weighted learning method based on a data gravitation model for multi-target regression Journal Article International Journal of Computational Intelligence Systems, 11 (1), pp. 282-295, 2018. BibTeX | Tags: Multi-label Learning, Supervised Learning @article{2017-IJCIS,
title = {A locally weighted learning method based on a data gravitation model for multi-target regression},
author = {Reyes, O. and Cano, A. and Fardoun, H. and Ventura, S.},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Computational Intelligence Systems},
volume = {11},
number = {1},
pages = {282-295},
keywords = {Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Review of ensembles of multi-label classifiers: Models, experimental study and prospects Journal Article Information Fusion, 44 , pp. 33 - 45, 2018, ISSN: 1566-2535. Links | BibTeX | Tags: Classification, Multi-label Learning, Supervised Learning @article{Moyanoa2018a_INFFUS,
title = {Review of ensembles of multi-label classifiers: Models, experimental study and prospects},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {http://www.sciencedirect.com/science/article/pii/S1566253517307169},
doi = {10.1016/j.inffus.2017.12.001},
issn = {1566-2535},
year = {2018},
date = {2018-01-01},
journal = {Information Fusion},
volume = {44},
pages = {33 - 45},
keywords = {Classification, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Skryjomski, P; Krawczyk, B; Cano, A Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs Journal Article Neurocomputing, In press , 2018. BibTeX | Tags: Classification, GP-GPU, Multi-label Learning, Scalability @article{b,
title = {Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs},
author = {Skryjomski, P. and Krawczyk, B. and Cano, A.},
year = {2018},
date = {2018-01-01},
journal = {Neurocomputing},
volume = {In press},
keywords = {Classification, GP-GPU, Multi-label Learning, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
Gonzalez-Lopez, J; Ventura, S; Cano, A Distributed Nearest Neighbor Classification for Large-Scale Multi-label Data on Spark Journal Article Future Generation Computer Systems, 87 , pp. 66-82, 2018. Links | BibTeX | Tags: Classification, Multi-label Learning, Spark @article{2018-FGCS-MLKNN,
title = {Distributed Nearest Neighbor Classification for Large-Scale Multi-label Data on Spark},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {http://dx.doi.org/10.1016/j.future.2018.04.094},
doi = {10.1016/j.future.2018.04.094},
year = {2018},
date = {2018-01-01},
journal = {Future Generation Computer Systems},
volume = {87},
pages = {66-82},
keywords = {Classification, Multi-label Learning, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Roseberry, M; Cano, A Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams Inproceedings LIDTA@PKDD/ECML, 2018. BibTeX | Tags: Classification, Multi-label Learning @inproceedings{2018-LIDTA-ECML,
title = {Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams},
author = {Roseberry, M. and Cano, A.},
year = {2018},
date = {2018-01-01},
booktitle = {LIDTA@PKDD/ECML},
keywords = {Classification, Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Moyano, J M; Luna, J M; Ventura, S Resolviendo el problema de regresión multi-salida mediante Gene Expression Programming Inproceedings XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, pp. 907–912, 2018. Links | BibTeX | Tags: Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning @inproceedings{Reyes2018c_CAEPIA,
title = {Resolviendo el problema de regresi\'{o}n multi-salida mediante Gene Expression Programming},
author = {Reyes, O. and Moyano, J. M. and Luna, J. M. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_103.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {XVIII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial, CAEPIA 2018},
pages = {907--912},
keywords = {Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Moyano, J M; Luna, J M; Ventura, S A gene expression programming method for multi-target regression Inproceedings Proceedings of the International Conference on Learning and Optimization
Algorithms: Theory and Applications, LOPAL 2018, Rabat, Morocco,
May 2-5, 2018., pp. 2:1–2:6, 2018. Links | BibTeX | Tags: Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning @inproceedings{Reyes2018a_LOPAL,
title = {A gene expression programming method for multi-target regression},
author = {Reyes, O. and Moyano, J. M. and Luna, J. M. and Ventura, S.},
url = {http://doi.acm.org/10.1145/3230905.3230910},
doi = {10.1145/3230905.3230910},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the International Conference on Learning and Optimization
Algorithms: Theory and Applications, LOPAL 2018, Rabat, Morocco,
May 2-5, 2018.},
pages = {2:1--2:6},
keywords = {Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Ventura, S Evolutionary Strategy to perform Batch-Mode Active Learning on Multi-Label Data Journal Article ACM Transactions on Intelligent Systems and Technology, 9 (4), pp. 46–1, 2018. Links | BibTeX | Tags: Active Learning, Evolutionary Algorithms, Multi-label Learning @article{Reyes2018a,
title = {Evolutionary Strategy to perform Batch-Mode Active Learning on Multi-Label Data},
author = {Reyes, O. and Ventura, S.},
url = {https://dl.acm.org/citation.cfm?doid=3183892.3161606},
year = {2018},
date = {2018-01-01},
journal = {ACM Transactions on Intelligent Systems and Technology},
volume = {9},
number = {4},
pages = {46--1},
keywords = {Active Learning, Evolutionary Algorithms, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Morell, C; Ventura, S Effective active learning strategy for multi-label learning Journal Article Neurocomputing, 273 , pp. 494-508, 2018. Links | BibTeX | Tags: Classification, Multi-label Learning, Scalability, Supervised Learning @article{Reyes2018494,
title = {Effective active learning strategy for multi-label learning},
author = {Reyes, O. and Morell, C. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028403971&doi=10.1016%2fj.neucom.2017.08.001&partnerID=40&md5=05e151b407c022b621123a619712e214},
doi = {10.1016/j.neucom.2017.08.001},
year = {2018},
date = {2018-01-01},
journal = {Neurocomputing},
volume = {273},
pages = {494-508},
keywords = {Classification, Multi-label Learning, Scalability, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
2017
|
Moyano, J M; Gibaja, E; Ventura, S An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains Inproceedings 2017 IEEE Congress on Evolutionary Computation (CEC), pp. 2015-2021, 2017. Links | BibTeX | Tags: Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{7969548,
title = {An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains},
author = {Moyano, J. M. and Gibaja, E. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/7969548/},
doi = {10.1109/CEC.2017.7969548},
year = {2017},
date = {2017-06-01},
booktitle = {2017 IEEE Congress on Evolutionary Computation (CEC)},
pages = {2015-2021},
keywords = {Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gonzalez-Lopez, J; Cano, A; Ventura, S Large-scale multi-label ensemble learning on Spark Inproceedings Proceedings of the 11th IEEE International Conference On Big Data Science And Engineering, pp. 893-900, 2017. BibTeX | Tags: Multi-label Learning, Scalability, Spark @inproceedings{2017-IEEEBIGDATA,
title = {Large-scale multi-label ensemble learning on Spark},
author = {Gonzalez-Lopez, J. and Cano, A. and Ventura, S.},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 11th IEEE International Conference On Big Data Science And Engineering},
pages = {893-900},
keywords = {Multi-label Learning, Scalability, Spark},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Melki, G; Cano, A; Kecman, V; Ventura, S Multi-Target Support Vector Regression Via Correlation Regressor Chains Journal Article Information Sciences, 415-416 , pp. 53-69, 2017. Links | BibTeX | Tags: Multi-label Learning, Supervised Learning @article{2017-INS-MTR,
title = {Multi-Target Support Vector Regression Via Correlation Regressor Chains},
author = {Melki, G. and Cano, A. and Kecman, V. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.ins.2017.06.017},
doi = {10.1016/j.ins.2017.06.017},
year = {2017},
date = {2017-01-01},
journal = {Information Sciences},
volume = {415-416},
pages = {53-69},
keywords = {Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Ventura, S MLDA: A tool for analyzing multi-label datasets Journal Article Knowledge-Based Systems, 121 , pp. 1-3, 2017, ISSN: 0950-7051. Links | BibTeX | Tags: Data Mining Software, Data Preprocessing, Multi-label Learning, Multi-view Learning @article{Moyano-2016-KBS,
title = {MLDA: A tool for analyzing multi-label datasets},
author = {Moyano, J. M. and Gibaja, E. and Ventura, S.},
url = {http://dx.doi.org/10.1007/10.1016/j.knosys.2017.01.018},
doi = {10.1016/j.knosys.2017.01.018},
issn = {0950-7051},
year = {2017},
date = {2017-01-01},
journal = {Knowledge-Based Systems},
volume = {121},
pages = {1-3},
keywords = {Data Mining Software, Data Preprocessing, Multi-label Learning, Multi-view Learning},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Morell, C; Ventura, S Effective active learning strategy for multi-label learning Journal Article Neurocomputing, In Press, 2017. Links | BibTeX | Tags: Active Learning, Multi-label Learning @article{REYES2017a,
title = {Effective active learning strategy for multi-label learning},
author = {Reyes, O. and Morell, C. and Ventura, S.},
doi = {https://doi.org/10.1016/j.neucom.2017.08.001},
year = {2017},
date = {2017-01-01},
journal = {Neurocomputing, In Press},
keywords = {Active Learning, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
2016
|
Cano, A; Luna, J M; Gibaja, E; Ventura, S LAIM discretization for multi-label data Journal Article Information Sciences, 330 , pp. 370–384, 2016. Links | BibTeX | Tags: Multi-label Learning @article{Cano-2016,
title = {LAIM discretization for multi-label data},
author = {Cano, A. and Luna, J. M. and Gibaja, E. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.ins.2015.10.032},
doi = {10.1016/j.ins.2015.10.032},
year = {2016},
date = {2016-01-01},
journal = {Information Sciences},
volume = {330},
pages = {370--384},
keywords = {Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Gibaja, E; Moyano, J M; Ventura, S An ensemble-based approach for multi-view multi-label classification Journal Article Progress in Artificial Intelligence, 5 (4), pp. 251–259, 2016, ISSN: 2192-6360. Links | BibTeX | Tags: Classification, Multi-label Learning, Multi-view Learning @article{Gibaja-2016-PRAI,
title = {An ensemble-based approach for multi-view multi-label classification},
author = {Gibaja, E. and Moyano, J. M. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s13748-016-0098-9},
doi = {10.1007/s13748-016-0098-9},
issn = {2192-6360},
year = {2016},
date = {2016-01-01},
journal = {Progress in Artificial Intelligence},
volume = {5},
number = {4},
pages = {251--259},
keywords = {Classification, Multi-label Learning, Multi-view Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Ventura, S Una herramienta para analizar conjuntos de datos multi-etiqueta Inproceedings XVII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA '16, pp. 857–866, 2016, ISBN: 978-84-9012-632-5. Links | BibTeX | Tags: Data Preprocessing, Feature Selection, Instance Selection, Multi-label Learning, Multi-view Learning, Software Design and Development @inproceedings{Moyano2016b_CAEPIA,
title = {Una herramienta para analizar conjuntos de datos multi-etiqueta},
author = {Moyano, J. M. and Gibaja, E. and Ventura, S.},
url = {http://www.uco.es/~i02momuj/pdf/caepia16.pdf},
isbn = {978-84-9012-632-5},
year = {2016},
date = {2016-01-01},
booktitle = {XVII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial, CAEPIA '16},
pages = {857--866},
keywords = {Data Preprocessing, Feature Selection, Instance Selection, Multi-label Learning, Multi-view Learning, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Morell, C; Ventura, S Effective lazy learning algorithm based on a data gravitation model for multi-label learning Journal Article Information Sciences, 340 (341), pp. 159-174, 2016. Links | BibTeX | Tags: Multi-label Learning, Supervised Learning @article{reyes2016effective,
title = {Effective lazy learning algorithm based on a data gravitation model for multi-label learning},
author = {Reyes, O. and Morell, C. and Ventura, S.},
url = {http://www.sciencedirect.com/science/article/pii/S0020025516000086},
year = {2016},
date = {2016-01-01},
journal = {Information Sciences},
volume = {340},
number = {341},
pages = {159-174},
publisher = {Elsevier},
keywords = {Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Ventura, S Estrategia efectiva para el aprendizaje activo multi-etiqueta Inproceedings XVII Conferencia de la Asociación Española para la Inteligencia Artificial, pp. 835-844, 2016. BibTeX | Tags: Active Learning, Multi-label Learning @inproceedings{reyesMLAL,
title = {Estrategia efectiva para el aprendizaje activo multi-etiqueta},
author = {Reyes, O. and Ventura, S.},
year = {2016},
date = {2016-01-01},
booktitle = {XVII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial},
pages = {835-844},
keywords = {Active Learning, Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2015
|
Gibaja, E; Ventura, S A Tutorial on Multilabel Learning Journal Article ACM Comput. Surv., 47 (3), pp. 52, 2015. Links | BibTeX | Tags: Classification, Multi-label Learning @article{DBLP:journals/csur/GibajaV15,
title = {A Tutorial on Multilabel Learning},
author = {Gibaja, E. and Ventura, S.},
url = {http://doi.acm.org/10.1145/2716262},
doi = {10.1145/2716262},
year = {2015},
date = {2015-01-01},
journal = {ACM Comput. Surv.},
volume = {47},
number = {3},
pages = {52},
keywords = {Classification, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Gibaja, E; Moyano, J M; Ventura, S Combinación de vistas para clasificación multi-etiqueta: estudio preliminar Inproceedings XVI Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA'15, pp. 759–768, 2015. Links | BibTeX | Tags: Classification, Multi-label Learning, Multi-view Learning @inproceedings{Gibaja2015_CAEPIA,
title = {Combinaci\'{o}n de vistas para clasificaci\'{o}n multi-etiqueta: estudio preliminar},
author = {Gibaja, E. and Moyano, J. M. and Ventura, S.},
url = {http://simd.albacete.org/actascaepia15/papers/00759.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {XVI Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial, CAEPIA'15},
pages = {759--768},
keywords = {Classification, Multi-label Learning, Multi-view Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Moyano, J M; Gibaja, E; Cano, A; Luna, J M; Ventura, S Diseño automático de multi-clasificadores basados en proyecciones de etiquetas Inproceedings XVI Conferencia de la Asociación Española para la Inteligencia Artificial, pp. 355–365, 2015. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{Moyano2015b_CAEPIA,
title = {Dise\~{n}o autom\'{a}tico de multi-clasificadores basados en proyecciones de etiquetas},
author = {Moyano, J. M. and Gibaja, E. and Cano, A. and Luna, J. M. and Ventura, S.},
url = {http://simd.albacete.org/actascaepia15/papers/00355.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {XVI Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial},
pages = {355--365},
series = {CAEPIA'15},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Moyano, J M; Gibaja, E; Cano, A; Luna, J M; Ventura, S Algoritmo evolutivo para optimizar ensembles de clasificadores multi-etiqueta Inproceedings X Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, pp. 219-225, 2015. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{Moyano-2015-MAEB,
title = {Algoritmo evolutivo para optimizar ensembles de clasificadores multi-etiqueta},
author = {Moyano, J. M. and Gibaja, E. and Cano, A. and Luna, J. M. and Ventura, S.},
url = {http://www.uco.es/~i02momuj/pdf/maeb15.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {X Congreso Espa\~{n}ol sobre Metaheur\^{i}sticas and Algoritmos Evolutivos y Bioinspirados},
pages = {219-225},
series = {MAEB'15},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Morell, C; Ventura, S Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context Journal Article Neurocomputing, 161 , pp. 168–182, 2015. Links | BibTeX | Tags: Data Preprocessing, Feature Selection, Multi-label Learning, Supervised Learning @article{Reyes-2015-NEUCOM,
title = {Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context},
author = {Reyes, O. and Morell, C. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.neucom.2015.02.045},
doi = {10.1016/j.neucom.2015.02.045},
year = {2015},
date = {2015-01-01},
journal = {Neurocomputing},
volume = {161},
pages = {168--182},
keywords = {Data Preprocessing, Feature Selection, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
2014
|
Gibaja, E; Ventura, S Multi-label learning: A review of the state of the art and ongoing research Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4 (6), pp. 411-444, 2014. Links | BibTeX | Tags: Classification, Multi-label Learning @article{Gibaja-2014-WIRES,
title = {Multi-label learning: A review of the state of the art and ongoing research},
author = {Gibaja, E. and Ventura, S.},
url = {http://dx.doi.org/10.1002/widm.1139},
doi = {10.1002/widm.1139},
year = {2014},
date = {2014-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {4},
number = {6},
pages = {411-444},
keywords = {Classification, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Morell, C; Ventura, S Evolutionary feature weighting to improve the performance of multi-label lazy algorithms Journal Article Integrated Computer-Aided Engineering, 21 (4), pp. 339-354, 2014. Links | BibTeX | Tags: Data Preprocessing, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @article{Reyes-2014-ICAE,
title = {Evolutionary feature weighting to improve the performance of multi-label lazy algorithms},
author = {Reyes, O. and Morell, C. and Ventura, S.},
url = {http://dx.doi.org/10.3233/ICA-140468},
doi = {10.3233/ICA-140468},
year = {2014},
date = {2014-01-01},
journal = {Integrated Computer-Aided Engineering},
volume = {21},
number = {4},
pages = {339-354},
keywords = {Data Preprocessing, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
2013
|
Cano, A; Zafra, A; Gibaja, E; Ventura, S A grammar-guided genetic programming algorithm for multi-label classification Journal Article 7831 LNCS , pp. 217-228, 2013. Links | BibTeX | Tags: Classification, Genetic Programming, Multi-label Learning @article{Cano-2013-EUROGP,
title = {A grammar-guided genetic programming algorithm for multi-label classification},
author = {Cano, A. and Zafra, A. and Gibaja, E. and Ventura, S.},
url = {http://dx.doi.org/10.1007/978-3-642-37207-0_19},
doi = {10.1007/978-3-642-37207-0_19},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of the 16th European Conference on Genetic Programming, EuroGP'13},
volume = {7831 LNCS},
pages = {217-228},
keywords = {Classification, Genetic Programming, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Morell, C; Ventura, S ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning Inproceedings Ruiz-Shulcloper, J; Sanniti di Baja, G (Ed.): Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 18th Iberoamerican Congress (CIARP-2013), Havana, Cuba, November 20-23, 2013, Proceedings, Part II, pp. 528-535, Springer Berlin Heidelberg, 2013. Links | BibTeX | Tags: Data Preprocessing, Multi-label Learning, Supervised Learning @inproceedings{Pupo2013,
title = {ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning},
author = {Reyes, O. and Morell, C. and Ventura, S.},
editor = {Ruiz-Shulcloper, J. and Sanniti di Baja, G.},
url = {http://dx.doi.org/10.1007/978-3-642-41827-3_66},
year = {2013},
date = {2013-01-01},
booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 18th Iberoamerican Congress (CIARP-2013), Havana, Cuba, November 20-23, 2013, Proceedings, Part II},
pages = {528-535},
publisher = {Springer Berlin Heidelberg},
keywords = {Data Preprocessing, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Morell, C; Ventura, S Feature weighting on multi-label data through quadratic loss minimization Inproceedings Congreso Internacional de Matemática y Computación (COMPUMAT-2013), 2013. Links | BibTeX | Tags: Data Preprocessing, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{reyes2013quadratic,
title = {Feature weighting on multi-label data through quadratic loss minimization},
author = {Reyes, O. and Morell, C. and Ventura, S.},
url = {http://www.compumat.uci.cu/},
year = {2013},
date = {2013-01-01},
booktitle = {Congreso Internacional de Matem\'{a}tica y Computaci\'{o}n (COMPUMAT-2013)},
keywords = {Data Preprocessing, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2012
|
Reyes, O; Morell, C; Ventura, S Learning similarity metric to improve the performance of lazy multi-label ranking algorithms Inproceedings Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA'12, pp. 246-251, 2012. Links | BibTeX | Tags: Data Preprocessing, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{Reyes-2012-ISDA,
title = {Learning similarity metric to improve the performance of lazy multi-label ranking algorithms},
author = {Reyes, O. and Morell, C. and Ventura, S.},
url = {http://dx.doi.org/10.1109/ISDA.2012.6416545},
doi = {10.1109/ISDA.2012.6416545},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA'12},
pages = {246-251},
keywords = {Data Preprocessing, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2011
|
Ávila, J L; Gibaja, E; Zafra, A; Ventura, S A Gene Expression Programming Algorithm for Multi-Label Classification Journal Article Multiple-Valued Logic and Soft Computing, 17 (2-3), pp. 183–206, 2011. Links | BibTeX | Tags: Classification, Discriminant Functions, Gene Expression Programming (GEP), Multi-label Learning @article{DBLP:journals/mvl/Avila-JimenezGZV11,
title = {A Gene Expression Programming Algorithm for Multi-Label Classification},
author = {\'{A}vila, J. L. and Gibaja, E. and Zafra, A. and Ventura, S.},
url = {http://www.oldcitypublishing.com/MVLSC/MVLSCabstracts/MVLSC17.2-3abstracts/MVLSCv17n2-3p183-206Avila.html},
year = {2011},
date = {2011-01-01},
journal = {Multiple-Valued Logic and Soft Computing},
volume = {17},
number = {2-3},
pages = {183--206},
keywords = {Classification, Discriminant Functions, Gene Expression Programming (GEP), Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
2010
|
Ávila, J L; Gibaja, E; Ventura, S Evolving multi-label classification rules with gene expression programming: a preliminary study Inproceedings International Conference on Hybrid Artificial Intelligence Systems, pp. 9–16, Springer 2010. BibTeX | Tags: Classification, Classification Rules, Gene Expression Programming (GEP), Multi-label Learning @inproceedings{avila2010evolving,
title = {Evolving multi-label classification rules with gene expression programming: a preliminary study},
author = {\'{A}vila, J. L. and Gibaja, E. and Ventura, S.},
year = {2010},
date = {2010-01-01},
booktitle = {International Conference on Hybrid Artificial Intelligence Systems},
pages = {9--16},
organization = {Springer},
keywords = {Classification, Classification Rules, Gene Expression Programming (GEP), Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gibaja, E; Victoriano, M; Ávila, J L; Ventura, S A TDIDT technique for multi-label classification Inproceedings Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, pp. 519-524, 2010. Links | BibTeX | Tags: Classification, Multi-label Learning @inproceedings{Gibaja-2010-ISDA,
title = {A TDIDT technique for multi-label classification},
author = {Gibaja, E. and Victoriano, M. and \'{A}vila, J. L. and Ventura, S.},
url = {http://dx.doi.org/10.1109/ISDA.2010.5687213},
doi = {10.1109/ISDA.2010.5687213},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, ISDA'10},
pages = {519-524},
keywords = {Classification, Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2009
|
Ávila, J L; Gibaja, E; Ventura, S Multi-label classification with gene expression programming Inproceedings International Conference on Hybrid Artificial Intelligence Systems, pp. 629–637, Springer 2009. BibTeX | Tags: Classification, Discriminant Functions, Gene Expression Programming (GEP), Multi-label Learning @inproceedings{avila2009multi,
title = {Multi-label classification with gene expression programming},
author = {\'{A}vila, J. L. and Gibaja, E. and Ventura, S.},
year = {2009},
date = {2009-01-01},
booktitle = {International Conference on Hybrid Artificial Intelligence Systems},
pages = {629--637},
organization = {Springer},
keywords = {Classification, Discriminant Functions, Gene Expression Programming (GEP), Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ávila, J L; Gibaja, E; Zafra, A; Ventura, S A niching algorithm to learn discriminant functions with multi-label patterns Inproceedings International Conference on Intelligent Data Engineering and Automated Learning, pp. 570–577, Springer 2009. BibTeX | Tags: Classification, Discriminant Functions, Gene Expression Programming (GEP), Multi-label Learning @inproceedings{avila2009niching,
title = {A niching algorithm to learn discriminant functions with multi-label patterns},
author = {\'{A}vila, J. L. and Gibaja, E. and Zafra, A. and Ventura, S.},
year = {2009},
date = {2009-01-01},
booktitle = {International Conference on Intelligent Data Engineering and Automated Learning},
pages = {570--577},
organization = {Springer},
keywords = {Classification, Discriminant Functions, Gene Expression Programming (GEP), Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|