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A Pipeline for Optimizing F1-Measure in Multi-label Text Classification., , , and . ICMLA, page 913-918. IEEE, (2018)Learning to Calibrate and Rerank Multi-label Predictions., , , , and . ECML/PKDD (3), volume 11908 of Lecture Notes in Computer Science, page 220-236. Springer, (2019)Ideology Detection for Twitter Users via Link Analysis., , , and . SBP-BRiMS, volume 10354 of Lecture Notes in Computer Science, page 262-268. Springer, (2017)Learning to Calibrate and Rerank Multi-label Predictions, , , , and . (2019)Topic-factorized ideal point estimation model for legislative voting network., , , , and . KDD, page 183-192. ACM, (2014)Ranking-Based Autoencoder for Extreme Multi-label Classification., , , , , and . NAACL-HLT (1), page 2820-2830. Association for Computational Linguistics, (2019)