Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures
C.P. Gatica, M. Platzner, in: Machine Learning for Cyber Physical Systems (ML4CPS 2017), Berlin, Heidelberg, 2020.

Proof-carrying Approximate Circuits
L.M. Witschen, T. Wiersema, M. Platzner, IEEE Transactions On Very Large Scale Integration Systems 28 (2020) 2084–2088.

Evolution of Application-Specific Cache Mappings
N. Ho, P. Kaufmann, M. Platzner, International Journal of Hybrid Intelligent Systems (2020).

Search Space Characterization for AxC Synthesis
L.M. Witschen, T. Wiersema, M. Platzner, Fifth Workshop on Approximate Computing (AxC 2020) (n.d.).

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

Implementing Machine Learning Functions as PYNQ FPGA Overlays
S. Thiele, Implementing Machine Learning Functions as PYNQ FPGA Overlays, 2020.

Extension and Evaluation of Python-based High-Level Synthesis Tool Flows
V. Jaganath, Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows, 2020.

An Adaption Mechanism for the Error Threshold of XCSF
T. Hansmeier, P. Kaufmann, M. Platzner, in: GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2020, pp. 1756–1764.

Dynamic Reliability Management for FPGA-Based Systems
J. Anwer, S. Meisner, M. Platzner, International Journal of Reconfigurable Computing (2020) 1–19.

Self-aware Cyber-Physical Systems
K. Bellman, N. Dutt, L. Esterle, A. Herkersdorf, A. Jantsch, C. Landauer, P. R. Lewis, M. Platzner, N. TaheriNejad, K. Tammemäe, ACM Transactions on Cyber-Physical Systems Accepted for Publication (2020) 1–24.