Multi-labeler classification using kernel representations and mixture of classifiers. Imbajoa-Ruiz, D., Gustin, I., Bolaños-Ledezma, M., Arciniegas-Mejía, A., Guasmayan-Guasmayan, F., Bravo-Montenegro, M., Castro-Ospina, A., & Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10125 LNCS:343-351, 2017. cited By 0
Multi-labeler classification using kernel representations and mixture of classifiers [link]Paper  doi  bibtex   
@ARTICLE{Imbajoa-Ruiz2017343,
author={Imbajoa-Ruiz, D.E. and Gustin, I.D. and Bolaños-Ledezma, M. and Arciniegas-Mejía, A.F. and Guasmayan-Guasmayan, F.A. and Bravo-Montenegro, M.J. and Castro-Ospina, A.E. and Peluffo-Ordóñez, D.H.},
title={Multi-labeler classification using kernel representations and mixture of classifiers},
journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
year={2017},
volume={10125 LNCS},
pages={343-351},
doi={10.1007/978-3-319-52277-7_42},
note={cited By 0},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013478371&doi=10.1007%2f978-3-319-52277-7_42&partnerID=40&md5=83e396c687b34dae96b88c3203d632c8},
document_type={Conference Paper},
source={Scopus},
}

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