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Line: Evaluating Software Applications in Unreliable Environments.

, and . IEEE Trans. Reliab., 66 (3): 837-853 (2017)

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Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning., , , , and . ISTAS, page 1-8. IEEE, (2023)A mean field model for an optical switch with a large number of wavelengths and centralized partial conversion., and . Perform. Evaluation, 67 (11): 1044-1058 (2010)Quasi-birth-and-death processes with restricted transitions and its applications., and . Perform. Evaluation, 68 (2): 126-141 (2011)The impact of dampening demand variability in a production/inventory system with multiple retailers (abstract only)., and . SIGMETRICS Perform. Evaluation Rev., 39 (4): 30 (2012)A Taxonomy of Uncertainty Events in Visual Analytics., , , , and . IEEE Computer Graphics and Applications, 43 (5): 62-71 (September 2023)Estimating Computational Requirements in Multi-Threaded Applications., , and . IEEE Trans. Software Eng., 41 (3): 264-278 (2015)BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise., , , and . CoRR, (2023)Differential Approximation and Sprinting for Multi-Priority Big Data Engines., , , , , and . Middleware, page 202-214. ACM, (2019)Exploiting Restricted Transitions in Quasi-Birth-and-Death Processes., and . QEST, page 123-132. IEEE Computer Society, (2009)Model-Driven Design of Cloud Applications with Quality-of-Service Guarantees: The MODAClouds Approach, MICAS Tutorial., , , and . SYNASC, page 3-10. IEEE Computer Society, (2014)