C. Lienen and M. Platzner, “Design of Distributed Reconfigurable Robotics Systems with ReconROS,” arXiv:2107.07208. 2021.
LibreCat: /record/22764

T. Hansmeier and M. Platzner, “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS,”10.1145/3449726.3463159__in GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Lille, France, 2021, pp. 1639–1647, doi:10.1145/3449726.3463159 .
LibreCat: /record/21813
DOI: 10.1145/3449726.3463159

M.-C. Jakobs, F. Pauck, M. Platzner, H. Wehrheim, and T. Wiersema, “Software/Hardware Co-Verification for Custom Instruction Set Processors,”10.1109/ACCESS.2021.3131213__IEEE Access, 2021, doi:10.1109/ACCESS.2021.3131213 .
LibreCat: /record/27841
DOI: 10.1109/ACCESS.2021.3131213

Q. A. Ahmed, “Hardware Trojans in Reconfigurable Computing,”10.1109/vlsi-soc53125.2021.9606974__2021, doi:10.1109/vlsi-soc53125.2021.9606974 .
LibreCat: /record/29138
DOI: 10.1109/vlsi-soc53125.2021.9606974

Q. A. Ahmed, T. Wiersema, and M. Platzner, “Malicious Routing: Circumventing Bitstream-level Verification for FPGAs,”10.23919/DATE51398.2021.9474026__presented at the Design, Automation and Test in Europe Conference (DATE’21), Alpexpo | Grenoble, France, 2021, doi:10.23919/DATE51398.2021.9474026 .
LibreCat: /record/20681
DOI: 10.23919/DATE51398.2021.9474026

L. Clausing, “ReconO: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip,”10.1145/3468044.3468056__2021, doi:10.1145/3468044.3468056 .
LibreCat: /record/30909
DOI: 10.1145/3468044.3468056

H. Ghasemzadeh Mohammadi et al., “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics,”https://doi.org/10.1007/978-3-030-93736-2_27__2021, doi:https://doi.org/10.1007/978-3-030-93736-2_27 .
LibreCat: /record/30908
DOI: https://doi.org/10.1007/978-3-030-93736-2_27

Z.  Guetttatfi, P. Kaufmann, and M. Platzner, “Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices,” in Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), 2020.
LibreCat: /record/3583

K. Chandrakar, Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis. 2020.
LibreCat: /record/21324

L.-S. Henke, Evaluation of a ReconOS-ROS Combination based on a Video Processing Application. 2020.
LibreCat: /record/21432

C. P. Gatica and M. Platzner, “Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures,” in Machine Learning for Cyber Physical Systems (ML4CPS 2017), 2020.
LibreCat: /record/21584
DOI: 10.1007/978-3-662-59084-3_9

L. M. Witschen, T. Wiersema, and M. Platzner, “Proof-carrying Approximate Circuits,” IEEE Transactions On Very Large Scale Integration Systems, vol. 28, no. 9, pp. 2084–2088, 2020.
LibreCat: /record/17358
DOI: 10.1109/TVLSI.2020.3008061

N. Ho, P. Kaufmann, and M. Platzner, “Evolution of Application-Specific Cache Mappings,” International Journal of Hybrid intelligent Systems, 2020.
LibreCat: /record/17369

L. M. Witschen, T. Wiersema, and M. Platzner, “Search Space Characterization for AxC Synthesis,” Fifth Workshop on Approximate Computing (AxC 2020). .
LibreCat: /record/20748

C. Lienen, M. Platzner, and B. Rinner, “ReconROS: Flexible Hardware Acceleration for RO Applications,” in Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT), 2020.
LibreCat: /record/20750

S. Thiele, Implementing Machine Learning Functions as PYNQ FPGA Overlays. 2020.
LibreCat: /record/20820

V. Jaganath, Extension and Evaluation of Python-based High-Level Synthesis Tool Flows. 2020.
LibreCat: /record/20821

T. Hansmeier, P. Kaufmann, and M. Platzner, “An Adaption Mechanism for the Error Threshold of XCSF,”10.1145/3377929.3398106__in GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Cancún, Mexico, 2020, pp. 1756–1764, doi:10.1145/3377929.3398106 .
LibreCat: /record/17063
DOI: 10.1145/3377929.3398106

J. Anwer, S. Meisner, and M. Platzner, “Dynamic Reliability Management for FPGA-Based Systems,” International Journal of Reconfigurable Computing, pp. 1–19, 2020.
LibreCat: /record/17092
DOI: 10.1155/2020/2808710

K. Bellman et al., “Self-aware Cyber-Physical Systems,” ACM Transactions on Cyber-Physical Systems, vol. Accepted for Publication, pp. 1–24, 2020.
LibreCat: /record/15836