Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information
- DOI
- 10.3217/jucs-025-13-1687
- Published
- 12
- Container
- Journal of Universal Computer Science
- Publisher
- Verlag der Technischen Universität Graz
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.3217/jucs-025-13-1687,
title = {Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information},
author = {Alfredo Zapata and Cristobal Romero and Eva Gibaja and Pedro G. Espejo and Victor H. Menéndez},
year = {2019},
journal = {Journal of Universal Computer Science},
doi = {10.3217/jucs-025-13-1687},
url = {https://doi.org/10.3217/jucs-025-13-1687}
}RIS
TY - JOUR TI - Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information AU - Alfredo Zapata AU - Cristobal Romero AU - Eva Gibaja AU - Pedro G. Espejo AU - Victor H. Menéndez PY - 2019 JO - Journal of Universal Computer Science DO - 10.3217/jucs-025-13-1687 UR - https://doi.org/10.3217/jucs-025-13-1687 ER -
APA
Zapata, A., Romero, C., Gibaja, E., Espejo, P. G., & Menéndez, V. H. (2019). Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information. Journal of Universal Computer Science. https://doi.org/10.3217/jucs-025-13-1687