Alfredo Zapata Gonzalez, Víctor H. Menéndez, Cristóbal Romero, Manuel Emilio Prieto Méndez. Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs. In Tiffany Barnes, Min Chi, Mingyu Feng, editors, Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016. pages 656-657, International Educational Data Mining Society (IEDMS), 2016. [doi]
@inproceedings{GonzalezMRM16,
title = {Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs},
author = {Alfredo Zapata Gonzalez and Víctor H. Menéndez and Cristóbal Romero and Manuel Emilio Prieto Méndez},
year = {2016},
url = {http://www.educationaldatamining.org/EDM2016/proceedings/paper_9.pdf},
researchr = {https://researchr.org/publication/GonzalezMRM16},
cites = {0},
citedby = {0},
pages = {656-657},
booktitle = {Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016},
editor = {Tiffany Barnes and Min Chi and Mingyu Feng},
publisher = {International Educational Data Mining Society (IEDMS)},
}