2022
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Esteban, A; Zafra, A; Ventura, S Data mining in predictive maintenance systems: A taxonomy and systematic review Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, pp. e1471, 2022. Links | BibTeX | Tags: Anomaly Detection, Data Science, Feature Selection, Predictive Maintenance, Supervised Learning, Unsupervised Learning @article{esteban2022data,
title = {Data mining in predictive maintenance systems: A taxonomy and systematic review},
author = {Esteban, A. and Zafra, A. and Ventura, S.},
url = {https://wires.onlinelibrary.wiley.com/doi/10.1002/widm.1471},
doi = {10.1002/widm.1471},
year = {2022},
date = {2022-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
pages = {e1471},
publisher = {Wiley Online Library},
keywords = {Anomaly Detection, Data Science, Feature Selection, Predictive Maintenance, Supervised Learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
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Alcalde-Llergo, J M; García-Martínez, C; Vaquero-Abellán, M; Aparicio-Martínez, P; Yeguas-Bolívar, E Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules Inproceedings 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 568–573, IEEE 2022. BibTeX | Tags: Classification Rules, Feature Selection @inproceedings{alcalde2022analysing,
title = {Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules},
author = {Alcalde-Llergo, J. M. and Garc\^{i}a-Mart\^{i}nez, C. and Vaquero-Abell\'{a}n, M. and Aparicio-Mart\^{i}nez, P. and Yeguas-Bol\^{i}var, E.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)},
pages = {568--573},
organization = {IEEE},
keywords = {Classification Rules, Feature Selection},
pubstate = {published},
tppubtype = {inproceedings}
}
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2021
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Frias, M; Moyano, J M; Rivero-Juarez, A; Luna, J M; Camacho, A; Fardoun, H M; Machuca, I; Al-Twijri, M; Rivero, A; Ventura, S Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach Journal Article Journal of Medical Internet Research, 23 (2), pp. e18766, 2021, ISSN: 1438-8871. Links | BibTeX | Tags: Classification, Clinical Data Mining, Feature Selection, Supervised Learning @article{Moyano:2021b_JMIR,
title = {Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach},
author = {Frias, M. and Moyano, J. M. and Rivero-Juarez, A. and Luna, J. M. and Camacho, A. and Fardoun, H. M. and Machuca, I. and Al-Twijri, M. and Rivero, A. and Ventura, S.},
url = {https://doi.org/10.2196/18766},
doi = {10.2196/18766},
issn = {1438-8871},
year = {2021},
date = {2021-01-01},
journal = {Journal of Medical Internet Research},
volume = {23},
number = {2},
pages = {e18766},
keywords = {Classification, Clinical Data Mining, Feature Selection, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
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2020
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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}
}
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2019
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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}
}
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Arauzo-Azofra, A; Jiménez-Vílchez, A; Molina-Baena, J; Luque, M Algorithmic cache of sorted tables for feature selection Journal Article Data Mining and Knowledge Discovery, 33 (4), pp. 964–994, 2019. Links | BibTeX | Tags: Feature Selection @article{arauzo2019algorithmic,
title = {Algorithmic cache of sorted tables for feature selection},
author = {Arauzo-Azofra, A. and Jim'{e}nez-V\^{i}lchez, A. and Molina-Baena, J. and Luque, M.},
url = {https://link.springer.com/article/10.1007/s10618-019-00620-8},
year = {2019},
date = {2019-01-01},
journal = {Data Mining and Knowledge Discovery},
volume = {33},
number = {4},
pages = {964--994},
publisher = {Springer doi = 10.1007/s10618-019-00620-8},
keywords = {Feature Selection},
pubstate = {published},
tppubtype = {article}
}
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2018
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Gahete, M; del Rio-Moreno, M; Camargo, A; Alcala-Diaz, J F; Alors-Perez, E; Delgado-Lista, J; Reyes, O; Ventura, S; Perez-Martínez, P; Castaño, J P Changes in Splicing Machinery Components Influence, Precede, and Early Predict the Development of Type 2 Diabetes: From the CORDIOPREV Study Journal Article EBioMedicine, 37 , pp. 356–365, 2018. Links | BibTeX | Tags: Feature Selection, Medical Data Mining @article{Reyes2018g,
title = {Changes in Splicing Machinery Components Influence, Precede, and Early Predict the Development of Type 2 Diabetes: From the CORDIOPREV Study},
author = {Gahete, M. and del Rio-Moreno, M. and Camargo, A. and Alcala-Diaz, J. F. and Alors-Perez, E. and Delgado-Lista, J. and Reyes, O. and Ventura, S. and Perez-Mart\^{i}nez, P. and Casta\~{n}o, J. P.},
url = {https://www.sciencedirect.com/science/article/pii/S2352396418304791},
year = {2018},
date = {2018-01-01},
journal = {EBioMedicine},
volume = {37},
pages = {356--365},
publisher = {Elsevier},
keywords = {Feature Selection, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
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2017
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Arauzo-Azofra, A; Molina-Baena, J; Jiménez-Vílchez, A; Luque, M Using Individual Feature Evaluation to Start Feature Subset Selection Methods for Classification Inproceedings International Conference on Agents and Artificial Intelligence, pp. 607–614, SCITEPRESS doi = 10.5220/0006204406070614 2017. Links | BibTeX | Tags: Classification, Feature Selection @inproceedings{arauzo2017using,
title = {Using Individual Feature Evaluation to Start Feature Subset Selection Methods for Classification},
author = {Arauzo-Azofra, A. and Molina-Baena, J. and Jim'{e}nez-V\^{i}lchez, A. and Luque, M.},
url = {https://www.scitepress.org/papers/2017/62044/62044.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {International Conference on Agents and Artificial Intelligence},
volume = {2},
pages = {607--614},
organization = {SCITEPRESS doi = 10.5220/0006204406070614},
keywords = {Classification, Feature Selection},
pubstate = {published},
tppubtype = {inproceedings}
}
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2016
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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}
}
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2015
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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}
}
|
2013
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Zafra, A; Pechenizkiy, M; Ventura, S HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning Journal Article Information Sciences, 222 , pp. 282-301, 2013. Links | BibTeX | Tags: Evolutionary Algorithms, Feature Selection, Multi-instance Learning @article{Zafra-2013-INS,
title = {HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning},
author = {Zafra, A. and Pechenizkiy, M. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.ins.2011.01.034},
doi = {10.1016/j.ins.2011.01.034},
year = {2013},
date = {2013-01-01},
journal = {Information Sciences},
volume = {222},
pages = {282-301},
keywords = {Evolutionary Algorithms, Feature Selection, Multi-instance Learning},
pubstate = {published},
tppubtype = {article}
}
|
2012
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Zafra, A; Pechenizkiy, M; Ventura, S ReliefF-MI: An extension of ReliefF to multiple instance learning Journal Article Neurocomputing, 75 , pp. 210-218, 2012. Links | BibTeX | Tags: Feature Selection, Multi-instance Learning @article{Zafra-2012-NEUCOM,
title = {ReliefF-MI: An extension of ReliefF to multiple instance learning},
author = {Zafra, A. and Pechenizkiy, M. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.neucom.2011.03.052},
doi = {10.1016/j.neucom.2011.03.052},
year = {2012},
date = {2012-01-01},
journal = {Neurocomputing},
volume = {75},
pages = {210-218},
keywords = {Feature Selection, Multi-instance Learning},
pubstate = {published},
tppubtype = {article}
}
|
2010
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Zafra, A; Pechenizkiy, M; Ventura, S Reducing dimensionality in multiple instance learning with a filter method Inproceedings Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, HAIS'10, pp. 35-44, 2010. Links | BibTeX | Tags: Feature Selection, Multi-instance Learning @inproceedings{Zafra-2010-HAIS,
title = {Reducing dimensionality in multiple instance learning with a filter method},
author = {Zafra, A. and Pechenizkiy, M. and Ventura, S.},
url = {http://dx.doi.org/10.1007/978-3-642-13803-4_5},
doi = {10.1007/978-3-642-13803-4_5},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, HAIS'10},
volume = {6077 LNAI},
number = {PART 2},
pages = {35-44},
keywords = {Feature Selection, Multi-instance Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Zafra, A; Pechenizkiy, M; Ventura, S Feature selection is the reliefF for multiple instance learning Inproceedings Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, pp. 525-532, 2010. Links | BibTeX | Tags: Feature Selection, Multi-instance Learning @inproceedings{Zafra-2010-ISDA,
title = {Feature selection is the reliefF for multiple instance learning},
author = {Zafra, A. and Pechenizkiy, M. and Ventura, S.},
url = {http://dx.doi.org/10.1109/ISDA.2010.5687210},
doi = {10.1109/ISDA.2010.5687210},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, ISDA'10},
pages = {525-532},
keywords = {Feature Selection, Multi-instance Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|