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An Analysis of Machine Learning Methods for Spam Host Detection.

, , and . ICMLA (2), page 227-232. IEEE, (2012)978-1-4673-4651-1.

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An Explainable Model to Support the Decision About the Therapy Protocol for AML., , , and . BRACIS (1), volume 14195 of Lecture Notes in Computer Science, page 431-446. Springer, (2023)On the Validity of a New SMS Spam Collection., , and . ICMLA (2), page 240-245. IEEE, (2012)978-1-4673-4651-1.ML-MDLText: A Multilabel Text Categorization Technique with Incremental Learning., , and . BRACIS, page 580-585. IEEE, (2019)A decision support system to recommend appropriate therapy protocol for AML patients., , , and . Frontiers Artif. Intell., (2024)Short text opinion detection using ensemble of classifiers and semantic indexing., , , and . Expert Syst. Appl., (2016)MDLText aplicado na Filtragem Automática de SPIM e SMS Spam., , and . Braz. J. Inf. Syst., 11 (1): 103-132 (2018)Towards automatic filtering of fake reviews., , and . Neurocomputing, (2018)Learning to Block Undesired Comments in the Blogosphere., and . ICMLA (2), page 261-266. IEEE, (2013)978-0-7695-5144-9.Semantic Indexing-Based Data Augmentation for Filtering Undesired Short Text Messages., , , and . ICMLA, page 1034-1039. IEEE, (2018)Filtering spams using the minimum description length principle., , and . SAC, page 1854-1858. ACM, (2010)