2020
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García-Martínez, C; Ventura, S Multi-view learning and genetic programming to obtain interpretable rule-based classifiers for semi-supervised contexts. Lessons learnt. Journal Article International Journal of Computational Intelligence Systems, 13 (1), pp. 576-590, 2020. Links | BibTeX | Tags: Classification Rules, Genetic Algorithms, Multi-view Learning, Semi-supervised Learning @article{Garcia2020,
title = {Multi-view learning and genetic programming to obtain interpretable rule-based classifiers for semi-supervised contexts. Lessons learnt.},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {https://www.atlantis-press.com/journals/ijcis/125940875},
year = {2020},
date = {2020-01-01},
journal = {International Journal of Computational Intelligence Systems},
volume = {13},
number = {1},
pages = {576-590},
keywords = {Classification Rules, Genetic Algorithms, Multi-view Learning, Semi-supervised Learning},
pubstate = {published},
tppubtype = {article}
}
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2017
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García-Martínez, C; Ventura, S Multi-view semi-supervised learning using genetic programming interpretable classification rules Inproceedings Proceedings of the IEEE Congress on Evolutionary Computation, pp. 573-579, San Sebastian, Spain, 2017. BibTeX | Tags: Classification Rules, Grammar-Based Genetic Programming, Multi-view Learning @inproceedings{CGarcia-CEC-2017,
title = {Multi-view semi-supervised learning using genetic programming interpretable classification rules},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
year = {2017},
date = {2017-07-07},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation},
pages = {573-579},
address = {San Sebastian, Spain},
series = {IEEE CEC 2017},
keywords = {Classification Rules, Grammar-Based Genetic Programming, Multi-view Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A An ensemble approach to multi-view multi-instance learning Journal Article Knowledge-Based Systems, 136 , pp. 46-57, 2017. Links | BibTeX | Tags: Classification, Multi-instance Learning, Multi-view Learning @article{2017-KNOSYS-MIMV,
title = {An ensemble approach to multi-view multi-instance learning},
author = {Cano, A.},
url = {http://dx.doi.org/10.1016/j.knosys.2017.08.022},
doi = {10.1016/j.knosys.2017.08.022},
year = {2017},
date = {2017-01-01},
journal = {Knowledge-Based Systems},
volume = {136},
pages = {46-57},
keywords = {Classification, Multi-instance Learning, Multi-view 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}
}
|
2016
|
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}
}
|
2015
|
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}
}
|