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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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Adversarial Examples on Object Recognition: A Comprehensive Survey., , and . CoRR, (2020)Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise., , and . ICANN (1), volume 12396 of Lecture Notes in Computer Science, page 467-478. Springer, (2020)An Empirical Study of Software Architecture for Machine Learning., and . CoRR, (2021)Adversarial Machine Learning., , , , and . Security and Artificial Intelligence, (2022)Software engineering practices for machine learning - Adoption, effects, and team assessment., , , and . J. Syst. Softw., (March 2024)Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty., , and . ECSA, volume 12292 of Lecture Notes in Computer Science, page 89-97. Springer, (2020)Deep Repulsive Prototypes for Adversarial Robustness., , and . CoRR, (2021)Safe Reinforcement Learning Using Probabilistic Shields (Invited Paper)., , , , and . CONCUR, volume 171 of LIPIcs, page 3:1-3:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)GraphRepo: Fast Exploration in Software Repository Mining., , and . CoRR, (2020)Adapting Software Architectures to Machine Learning Challenges., and . SANER, page 152-163. IEEE, (2022)