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2017

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

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

2014

Cano, A; Ventura, S; Cios, K J

Scalable CAIM discretization on multiple GPUs using concurrent kernels Journal Article

Journal of Supercomputing, 69 (1), pp. 273-292, 2014.

Links | BibTeX | Tags: Classification, Data Preprocessing, GP-GPU

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

Romero, C; Romero, J R; Ventura, S

A survey on pre-processing educational data Journal Article

Studies in Computational Intelligence, 524 , pp. 29-64, 2014.

Links | BibTeX | Tags: Data Preprocessing, Educational Data Mining

2013

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

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

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

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