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ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation and Analyses of Automotive Engines., и . ISC, том 9137 из Lecture Notes in Computer Science, стр. 87-95. Springer, (2015)Calibrating Sensing Drift in Tomographic Inversion., , и . ICIP, стр. 1267-1271. IEEE, (2019)A method for convex black-box integer global optimization., , , и . J. Glob. Optim., 80 (2): 439-477 (2021)Scalable Statistical Inference of Photometric Redshift via Data Subsampling., , и . ICCS (5), том 12746 из Lecture Notes in Computer Science, стр. 245-258. Springer, (2021)Bandwidth Enables Generalization in Quantum Kernel Models., , , , и . Trans. Mach. Learn. Res., (2023)Pufferscale: Rescaling HPC Data Services for High Energy Physics Applications., , , , , и . CCGRID, стр. 182-191. IEEE, (2020)Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems., , , , , , и . ISC, том 10876 из Lecture Notes in Computer Science, стр. 184-204. Springer, (2018)Management, analysis, and visualization of experimental and observational data - The convergence of data and computing., , , , , и . eScience, стр. 213-222. IEEE Computer Society, (2016)An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning., , и . VECPAR, том 7851 из Lecture Notes in Computer Science, стр. 261-269. Springer, (2012)Improving parallel I/O autotuning with performance modeling., , , , и . HPDC, стр. 253-256. ACM, (2014)