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2022

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

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

2021

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

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

2019

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

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

2018

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

2017

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

2016

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

2015

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

2013

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

2012

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

2010

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

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

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