@article{orlandic_semi-supervised_2023,
	title = {A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The {COVID}-19 case study on respiratory disorder classification},
	volume = {241},
	issn = {01692607},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0169260723004091},
	doi = {10.1016/j.cmpb.2023.107743},
	shorttitle = {A semi-supervised algorithm for improving the consistency of crowdsourced datasets},
	pages = {107743},
	journaltitle = {Computer Methods and Programs in Biomedicine},
	shortjournal = {Computer Methods and Programs in Biomedicine},
	eprinttype = {arxiv},
	eprint = {https://arxiv.org/pdf/2209.04360.pdf},
	author = {Orlandic, Lara and Teijeiro, Tomas and Atienza, David},
	urldate = {2023-08-21},
	date = {2023-11},
	langid = {english},
}