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Adoption and Effects of Software Engineering Best Practices in Machine Learning.

, , , and . ESEM, page 3:1-3:12. ACM, (2020)

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PI is back! Switching Acquisition Functions in Bayesian Optimization., , , , , , and . CoRR, (2022)Software engineering practices for machine learning - Adoption, effects, and team assessment., , , and . J. Syst. Softw., (March 2024)Analysing Optimisation Data for Multicriteria Building Spatial Design., , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 671-682. Springer, (2019)Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis., , , , , and . CoRR, (2022)Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation., , , , and . CEC, page 1803-1810. IEEE, (2017)A new foraging-based algorithm for online scheduling., and . GECCO, page 53-60. ACM, (2018)Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation., , , , , and . Adv. Eng. Informatics, (2018)Practices for Engineering Trustworthy Machine Learning Applications., , , and . WAIN@ICSE, page 97-100. IEEE, (2021)Adoption and Effects of Software Engineering Best Practices in Machine Learning., , , and . ESEM, page 3:1-3:12. ACM, (2020)Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems., , , and . IEEE Trans. Evol. Comput., 26 (6): 1351-1364 (2022)