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Active Learning Algorithms for Multi-label Data.

, , and . AIAI, volume 475 of IFIP Advances in Information and Communication Technology, page 267-279. Springer, (2016)

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One-Class Quantification., , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 273-289. Springer, (2018)Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction., , , , and . CLEI Electron. J., (2008)Multi-label machine learning: exploring label dependency and active learning.. University of São Paulo, Brazil, (2014)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-30042014-143953).On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems., , , and . HIS, page 211-216. IEEE, (2011)On the Need of Class Ratio Insensitive Drift Tests for Data Streams., , , and . LIDTA@ECML/PKDD, volume 94 of Proceedings of Machine Learning Research, page 110-124. PMLR, (2018)Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors., , , and . IDA, volume 10584 of Lecture Notes in Computer Science, page 322-333. Springer, (2017)Active Learning Algorithms for Multi-label Data., , and . AIAI, volume 475 of IFIP Advances in Information and Communication Technology, page 267-279. Springer, (2016)DyS: A Framework for Mixture Models in Quantification., , , and . AAAI, page 4552-4560. AAAI Press, (2019)