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Evaluating Linear Models as a Baseline for Time Series Imputation., , , and . SBBD (Short Papers), page 63-68. SBC, (2015)Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project., , , , , , , , , and 10 other author(s). LADaS@VLDB, volume 2170 of CEUR Workshop Proceedings, page 1-8. CEUR-WS.org, (2018)Rumo à Integração da Álgebra de Workflows com o Processamento de Consulta Relacional., , , , , and . SBBD, page 205-210. SBC, (2018)On Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays., , , , and . IJCNN, page 1-8. IEEE, (2018)Discovering Tight Space-Time Sequences., , , , , , and . DaWaK, volume 11031 of Lecture Notes in Computer Science, page 247-257. Springer, (2018)Provenance traces from Chiron parallel workflow engine., , , , , , , and . EDBT/ICDT Workshops, page 337-338. ACM, (2013)Experiment Line: Software Reuse in Scientific Workflows., , , , and . SSDBM, volume 5566 of Lecture Notes in Computer Science, page 264-272. Springer, (2009)A Data-Driven Model Selection Approach to Spatio-Temporal Prediction., , , and . Trans. Large Scale Data Knowl. Centered Syst., (2024)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)TSPred: A framework for nonstationary time series prediction., , , , and . Neurocomputing, (2022)