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Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting.

, , , , and . ICNP, page 1-6. IEEE, (2023)

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Stochastic dynamic programming heuristic for the (R,s,S) policy parameters computation., , , and . Comput. Oper. Res., (October 2023)AI-Based Task Classification With Pressure Insoles for Occupational Safety., , , , and . IEEE Access, (2024)Bayesian Uncertainty Modelling for Cloud Workload Prediction., , , and . CLOUD, page 19-29. IEEE, (2022)Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting., , , , and . ICNP, page 1-6. IEEE, (2023)Modelling Dynamic Programming-Based Global Constraints in Constraint Programming., , , and . WCGO, volume 991 of Advances in Intelligent Systems and Computing, page 417-427. Springer, (2019)Robust Principal Component Analysis by Reverse Iterative Linear Programming., , and . ECML/PKDD (2), volume 9852 of Lecture Notes in Computer Science, page 593-605. Springer, (2016)Explainable Algorithm Selection for the Capacitated Lot Sizing Problem., , , and . CPAIOR (2), volume 14743 of Lecture Notes in Computer Science, page 243-252. Springer, (2024)Automated SAT Problem Feature Extraction using Convolutional Autoencoders., , and . ICTAI, page 232-239. IEEE, (2021)Towards a Closer Integration of Dynamic Programming and Constraint Programming., , , and . GCAI, volume 55 of EPiC Series in Computing, page 202-214. EasyChair, (2018)Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier., , and . ICTAI, page 1820-1824. IEEE, (2019)