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Adaptable Demonstrator Platform for the Simulation of Distributed Agent-Based Automotive Systems.

, , , и . ASD@DATE, том 79 из OASIcs, стр. 3:1-3:6. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)

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Worst-Case Failover Timing Analysis of Distributed Fail-Operational Automotive Applications., , , и . DATE, стр. 1294-1299. IEEE, (2021)Adaptable Demonstrator Platform for the Simulation of Distributed Agent-Based Automotive Systems., , , и . ASD@DATE, том 79 из OASIcs, стр. 3:1-3:6. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)Fail-Operational Automotive Software Design Using Agent-Based Graceful Degradation., , , и . DATE, стр. 1169-1174. IEEE, (2020)Evaluating saliency map explanations for convolutional neural networks: a user study., , , , и . IUI, стр. 275-285. ACM, (2020)Fail-Operational Decentralized System Architectures.. Technical University of Munich, Germany, (2023)Minimalistic Explanations: Capturing the Essence of Decisions., и . CHI Extended Abstracts, ACM, (2019)Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments., , и . CoRR, (2021)Energy-Optimized Elastic Application Distribution for Automotive Systems in Hybrid Cloud Architectures., , , и . DSD, стр. 455-462. IEEE, (2020)Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset., , , , и . ICLR, OpenReview.net, (2022)Checkpointing Period Optimization of Distributed Fail-Operational Automotive Applications., , , и . DSD, стр. 389-395. IEEE, (2021)