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An Overview of Myocardial Infarction Registries and Results from the Hungarian Myocardial Infarction Registry.

, , , , , , , and . SoMeT, volume 297 of Frontiers in Artificial Intelligence and Applications, page 312-320. IOS Press, (2017)

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CoUPM: Correlated Utility-based Pattern Mining., , , , and . CoRR, (2019)Semi-automatic Detection of Sentiment Hashtags in Social Networks., and . SoMeT, volume 532 of Communications in Computer and Information Science, page 216-224. Springer, (2015)Combination of active learning and self-training for cross-lingual sentiment classification with density analysis of unlabelled samples., , , and . Inf. Sci., (2015)A Framework for a Decision Tree Learning Algorithm with K-NN., , and . SoMeT (Selected Papers), volume 513 of Communications in Computer and Information Science, page 39-51. Springer, (2014)IOWA & cross-ratio uninorm operators as aggregation tools in sentiment analysis and ensemble methods., , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)An efficient selector for multi-granularity attribute reduction., , , , , and . Inf. Sci., (2019)Resilience Analysis of Critical Infrastructures: A Cognitive Approach Based on Granular Computing., , , and . IEEE Trans. Cybern., 49 (5): 1835-1848 (2019)Efficient list based mining of high average utility patterns with maximum average pruning strategies., , , , , , and . Inf. Sci., (2021)Posterior probability based ensemble strategy using optimizing decision directed acyclic graph for multi-class classification., and . Inf. Sci., (2017)Computer aided detection of breathing disorder from ballistocardiography signal using convolutional neural network., , , , , , and . Inf. Sci., (2020)