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Brazilian Data Scientists: Revealing their Challenges and Practices on Machine Learning Model Development., , , , , , , , , и . SBQS, стр. 10. ACM, (2020)Sampling Effect on Performance Prediction of Configurable Systems: A Case Study., , , и . ICPE, стр. 277-288. ACM, (2020)Uma Análise dos Ambientes de Ensino de Banco de Dados., и . SBSI, стр. 564-575. (2012)A collaborative-based recommender system for configuration of extended product lines.. ICSE (Companion Volume), стр. 445-448. IEEE Computer Society, (2017)Analyzing a Semantics-Aware Bug Seeding Tool's Efficacy: A qualitative study with the SemSeed tool., , , , , , , и . SBES, стр. 246-256. ACM, (2023)"Looks Good To Me ;-)": Assessing Sentiment Analysis Tools for Pull Request Discussions., , , , , , , , , и 5 other автор(ы). EASE, стр. 211-221. ACM, (2024)Feature subset selection for learning huge configuration spaces: the case of linux kernel size., , , , , , , и . SPLC (A), стр. 85-96. ACM, (2022)A comparison of performance specialization learning for configurable systems., , , и . SPLC (A), стр. 46-57. ACM, (2021)Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study., , , , , , , , и . MSR, стр. 471-482. IEEE, (2021)Learning software configuration spaces: A systematic literature review., , , , , и . J. Syst. Softw., (2021)