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A rapid-prototyping framework for extracting small-scale incident-related information in microblogs: Application of multi-label classification on tweets.

, , and . Inf. Syst., (2016)

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Medical Concept Embeddings via Labeled Background Corpora., , and . LREC, European Language Resources Association (ELRA), (2016)Learning Context-dependent Label Permutations for Multi-label Classification., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4733-4742. PMLR, (2019)Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain., and . Semantic Processing of Legal Texts, volume 6036 of Lecture Notes in Computer Science, page 192-215. Springer, (2010)A flexible class of dependence-aware multi-label loss functions., , , , and . Mach. Learn., 111 (2): 713-737 (2022)Improving Outbreak Detection with Stacking of Statistical Surveillance Methods., , and . CoRR, (2019)Learning Interpretable Rules for Multi-label Classification., , , and . CoRR, (2018)Improving the Fusion of Outbreak Detection Methods with Supervised Learning., , and . CIBB, volume 12313 of Lecture Notes in Computer Science, page 55-66. Springer, (2019)Evaluating Multi-label Classification of Incident-related Tweet., , , and . #MSM, volume 1141 of CEUR Workshop Proceedings, page 26-33. CEUR-WS.org, (2014)Multi-objective Optimisation-Based Feature Selection for Multi-label Classification., , , and . NLDB, volume 10260 of Lecture Notes in Computer Science, page 38-41. Springer, (2017)Graded Multilabel Classification by Pairwise Comparisons., , and . ICDM, page 731-736. IEEE Computer Society, (2014)