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Training Strategies for Covid-19 Severity Classification.

, , , , , , , , , and . IWBBIO (1), volume 13919 of Lecture Notes in Computer Science, page 514-527. Springer, (2023)

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Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity., , , , , , , , , and . Biomed. Signal Process. Control., 87 (Part A): 105558 (January 2024)Training Strategies for Covid-19 Severity Classification., , , , , , , , , and . IWBBIO (1), volume 13919 of Lecture Notes in Computer Science, page 514-527. Springer, (2023)Evaluating the effect of compressing algorithms for trajectory similarity and classification problems., , , , , and . GeoInformatica, 25 (4): 679-711 (2021)A Survey and Comparison of Trajectory Classification Methods., , and . BRACIS, page 788-793. IEEE, (2019)Exploring frequency-based approaches for efficient trajectory classification., , , , and . SAC, page 624-631. ACM, (2020)MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification., , , , , and . Data Min. Knowl. Discov., 34 (3): 652-680 (2020)Mining Journals to the Ground: An Exploratory Analysis of Newspaper Articles., , , and . BRACIS, page 78-83. IEEE, (2019)The Reachability of Computer Programs., , , and . CoRR, (2017)Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification., , , and . BRACIS (1), volume 13073 of Lecture Notes in Computer Science, page 468-483. Springer, (2021)MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings., , , , and . Int. J. Geogr. Inf. Sci., 34 (7): 1428-1450 (2020)