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Evaluating Temporal Bias in Time Series Event Detection Methods., , , , , , , , , and 1 other author(s). J. Inf. Data Manag., (2021)An analysis of malaria in the Brazilian Legal Amazon using divergent association rules., , , , , , , , and . J. Biomed. Informatics, (2020)Evaluating Linear Models as a Baseline for Time Series Imputation., , , and . SBBD (Short Papers), page 63-68. SBC, (2015)Nonstationary time series transformation methods: An experimental review., , , , and . Knowl. Based Syst., (2019)TSPred: A framework for nonstationary time series prediction., , , , and . Neurocomputing, (2022)Data Science Platform Applied to Health in Contribution to the Brazilian Unified Health System., , , , , , , , , and 12 other author(s). VLDB Workshops, volume 3462 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)A Conceptual Vision Toward the Management of Machine Learning Models., , , , , , , , , and 9 other author(s). ER Forum/Posters/Demos, volume 2469 of CEUR Workshop Proceedings, page 15-27. CEUR-WS.org, (2019)Estimation of COVID-19 under-reporting in Brazilian States through SARI., , , , , , , , , and . CoRR, (2020)SoftED: Metrics for Soft Evaluation of Time Series Event Detection., , , , , , , , , and . CoRR, (2023)Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean., , , , , and . Ecol. Informatics, (2016)