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Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance., , , and . CF, page 199-200. ACM, (2022)Meet Monte Cimone: exploring RISC-V high performance compute clusters., , , , , , , , , and 2 other author(s). CF, page 207-208. ACM, (2022)Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications., , , , , , and . ADBIS, volume 13389 of Lecture Notes in Computer Science, page 377-391. Springer, (2022)Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR., , , and . DAC, page 170. ACM, (2019)RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor (Invited Paper)., , , , , and . PARMA-DITAM, volume 107 of OASIcs, page 3:1-3:12. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis., , , and . VLSI-SoC (Selected Papers), volume 561 of IFIP Advances in Information and Communication Technology, page 167-186. Springer, (2018)Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (6): 1636-1648 (2022)AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks., , , , , , and . ICPE (Companion), page 112-119. ACM, (2024)Top-Down Profiling of Application Specific Many-core Neuromorphic Platforms., , and . MCSoC, page 127-134. IEEE Computer Society, (2015)Impact of graph partitioning on SNN placement for a multi-core neuromorphic architecture: work-in-progress., , , and . CASES, page 4:1-4:2. ACM, (2018)