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2017

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

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

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

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

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

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

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