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On Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays., , , , and . IJCNN, page 1-8. IEEE, (2018)Evaluating Linear Models as a Baseline for Time Series Imputation., , , and . SBBD (Short Papers), page 63-68. SBC, (2015)An adaptive parallel execution strategy for cloud-based scientific workflows., , , , and . Concurr. Comput. Pract. Exp., 24 (13): 1531-1550 (2012)Evaluation of the Brazilian Portuguese version of linguistic inquiry and word count 2015 (BP-LIWC2015)., , , , and . Lang. Resour. Evaluation, 58 (1): 203-222 (March 2024)Towards a UML-based Reference Model for Blended Learning., , , , and . Int. J. Recent Contributions Eng. Sci. IT, 2 (3): 15-22 (2014)TSPred: A framework for nonstationary time series prediction., , , , and . Neurocomputing, (2022)Nonstationary time series transformation methods: An experimental review., , , , and . Knowl. Based Syst., (2019)Analyzing Flight Delay Prediction Under Concept Drift., , , , , and . CoRR, (2021)Constellation Queries over Big Data., , , , , and . CoRR, (2017)Rumo à Integração da Álgebra de Workflows com o Processamento de Consulta Relacional., , , , , and . SBBD, page 205-210. SBC, (2018)