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Comprehensive comparative study of multi-label classification methods.

, , , и . Expert Syst. Appl., (2022)

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Aleksandra Dragicevic

Dejan Dragisic

Kristijan Dragi evi

Danilo Dragin

Elena Dragicevic

 

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Explaining the Performance of Multi-label Classification Methods with Data Set Properties., , , и . CoRR, (2021)ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification., , , и . CLEF (2), том 6242 из Lecture Notes in Computer Science, стр. 231-238. Springer, (2009)Option Predictive Clustering Trees for Multi-target Regression., , и . DS, том 9956 из Lecture Notes in Computer Science, стр. 118-133. (2016)The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance., , и . NFMCP, том 8399 из Lecture Notes in Computer Science, стр. 162-177. Springer, (2013)Semi-Supervised Multi-Label Classification of Land Use/Land Cover in Remote Sensing Images With Predictive Clustering Trees and Ensembles., , , и . IEEE Trans. Geosci. Remote. Sens., (2024)A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures., , , и . Big Data Res., (2021)Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees., , , и . Pattern Recognit. Lett., (2014)Clustering of heartbeats from ECG recordings obtained with wireless body sensors., , и . MIPRO, стр. 461-466. IEEE, (2016)Multi-label Classification Using Random Label Subset Selections., , и . DS, том 10558 из Lecture Notes in Computer Science, стр. 108-115. Springer, (2017)Ensemble-Based Feature Ranking for Semi-supervised Classification., , и . DS, том 11828 из Lecture Notes in Computer Science, стр. 290-305. Springer, (2019)