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FeFET and NCFET for Future Neural Networks: Visions and Opportunities., , , , , and . DATE, page 300-305. IEEE, (2021)Critical Instant for Probabilistic Timing Guarantees: Refuted and Revisited., , , and . RTSS, page 145-157. IEEE, (2022)Work-in-Progress: Evaluation Framework for Self-Suspending Schedulability Tests., , , , and . RTSS, page 532-535. IEEE, (2021)Split'n Trace NVM: Leveraging Library OSes for Semantic Memory Tracing., , , , , , , and . NVMSA, page 1-6. IEEE, (2020)Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis., , , , , , and . Bildverarbeitung für die Medizin, page 339-344. Springer Vieweg, (2019)This is SPATEM! A Spatial-Temporal Optimization Framework for Efficient Inference on ReRAM-based CNN Accelerator., , , , , and . ASP-DAC, page 702-707. IEEE, (2022)On the Formalism and Properties of Timing Analyses in Real-Time Embedded Systems., , , , and . A Journey of Embedded and Cyber-Physical Systems, page 37-55. Springer, (2021)On the Equivalence of Maximum Reaction Time and Maximum Data Age for Cause-Effect Chains., , , , and . ECRTS, volume 262 of LIPIcs, page 10:1-10:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Guest Editorial: Special Issue on Systems Optimizations for DSP and AI Applications., , and . J. Signal Process. Syst., 95 (5): 569-570 (May 2023)Probabilistic schedulability tests for uniprocessor fixed-priority scheduling under soft errors., and . SIES, page 1-8. IEEE, (2017)