A thorough experimental comparison of multilabel methods for classification performance

Author:

García-Pedrajas Nicolás E.ORCID,Cuevas-Muñoz José M.,Cerruela-García Gonzalo,de Haro-García Aida

Funder

Espana Ministerio de Ciencia e Innovacion

Publisher

Elsevier BV

Reference56 articles.

1. A review on multi-label learning algorithms;Zhang;IEEE Trans. Knowl. Data Eng.,2014

2. Multi-modal meta multi-task learning for social media rumor detection;Zhang;IEEE Trans. Multimed.,2022

3. A survey on multi-label data stream classification;Zheng;IEEE Access,2020

4. A multi-label classification method based on associative rules;Zhu;J. Comput. Inform. Syst.,2012

5. Multilabel and missing label methods for binary quantitative structure–activity relationship models: An application for the prediction of adverse drug reactions;Pérez-Parras Toledano;J. Chem. Inf. Model.,2019

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