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Automated design of error-resilient and hardware-efficient deep neural networks., , , , , and . CoRR, (2019)Efficient Stochastic Inference of Bitwise Deep Neural Networks., , , and . CoRR, (2016)Trait-mediated responses of caterpillar communities to spongy moth outbreaks and subsequent tebufenozide treatments, , , , , , , , , and 11 other author(s). Ecological Applications, (June 2023)Kieker4DQL: Declarative Performance Measurement., , , , and . Softwaretechnik-Trends, (2016)Evaluating Soil-Borne Causes of Biomass Variability in Grassland by Remote and Proximal Sensing., , , and . Sensors, 19 (20): 4593 (2019)Delizia!, and . S. Fischer Frankfurt am Main, (2008)Decentral allocation planning in multi-stage customer hierarchies., and . Eur. J. Oper. Res., 246 (2): 462-470 (2015)BOMP- NAS: Bayesian Optimization Mixed Precision NAS., , , and . DATE, page 1-2. IEEE, (2023)Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search., , , and . ECML/PKDD (5), volume 13717 of Lecture Notes in Computer Science, page 463-479. Springer, (2022)Präzise Kalkung durch Integration hochauflösender Bodensensordaten., , , , , , and . GIL Jahrestagung, volume P-278 of LNI, page 223-226. GI, (2018)