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Supporting User Steering In Large-Scale Workflows With Provenance Data. (Support des actions de pilotage dans les workflows à grande échelle avec données de provenance).. Federal University of Rio de Janeiro, Brazil, (2019)Adding domain data to code profiling tools to debug workflow parallel execution., , , , , and . Future Gener. Comput. Syst., (2020)Online Input Data Reduction in Scientific Workflows., , , , and . WORKS@SC, volume 1800 of CEUR Workshop Proceedings, page 44-53. CEUR-WS.org, (2016)Modern Federated Database Systems: An Overview., , , and . ICEIS (1), page 276-283. SCITEPRESS, (2020)Towards a Human-in-the-Loop Library for Tracking Hyperparameter Tuning in Deep Learning Development., , , , , , and . LADaS@VLDB, volume 2170 of CEUR Workshop Proceedings, page 84-87. CEUR-WS.org, (2018)Enhancing Energy Production with Exascale HPC Methods., , , , , , , , , and 8 other author(s). CARLA, volume 697 of Communications in Computer and Information Science, page 233-246. (2016)Provenance of Dynamic Adaptations in User-Steered Dataflows., and . IPAW, volume 11017 of Lecture Notes in Computer Science, page 16-29. Springer, (2018)Identifying and Validating Java Misconceptions Toward a CS1 Concept Inventory., , , and . ITiCSE, page 23-29. ACM, (2019)Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications., , , , , , and . IPAW, volume 11017 of Lecture Notes in Computer Science, page 183-187. Springer, (2018)Data reduction in scientific workflows using provenance monitoring and user steering., , , , and . Future Gener. Comput. Syst., (2020)