Design of Distributed Reconfigurable Robotics Systems with ReconROS
C. Lienen, M. Platzner, ArXiv:2107.07208 (2021).

An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS
T. Hansmeier, M. Platzner, in: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2021, pp. 1639–1647.

Hardware Trojans in Reconfigurable Computing
Q.A. Ahmed, in: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021.

Malicious Routing: Circumventing Bitstream-level Verification for FPGAs
Q.A. Ahmed, T. Wiersema, M. Platzner, in: 2021 Design, Automation &; Test in Europe Conference &; Exhibition (DATE), 2021 Design, Automation and Test in Europe Conference (DATE), Alpexpo | Grenoble, France, 2021.

ReconO: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip
L. Clausing, in: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021.

FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
H. Ghasemzadeh Mohammadi, F. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in:  Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021.

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

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.

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.

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.

A Hybrid Synthesis Methodology for Approximate Circuits
M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, ACM, 2020, pp. 421–426.

Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold
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. 125–126.

MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes
A. Lösch, M. Platzner, in: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020.

MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes
A. Lösch, M. Platzner, in: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020, pp. 6–16.

Jump Search: A Fast Technique for the Synthesis of Approximate Circuits
L.M. Witschen, H. Ghasemzadeh Mohammadi, M. Artmann, M. Platzner, Fourth Workshop on Approximate Computing (AxC 2019) (n.d.).

Jump Search: A Fast Technique for the Synthesis of Approximate Circuits
L.M. Witschen, H. Ghasemzadeh Mohammadi, M. Artmann, M. Platzner, in: Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19, ACM, New York, NY, USA, 2019.

Optimization of Application-specific L1 Cache Translation Functions of the LEON3 Processor
N. Ho, P. Kaufmann, M. Platzner, in: World Congress on Nature and Biologically Inspired Computing (NaBIC), Springer, 2019.

An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable Hardware
Z. Guettatfi, M. Platzner, O. Kermia, A. Khouas, in: 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2019.

Proof-Carrying Hardware Versus the Stealthy Malicious LUT Hardware Trojan
Q.A. Ahmed, T. Wiersema, M. Platzner, in: C. Hochberger, B. Nelson, A. Koch, R. Woods, P. Diniz (Eds.), Applied Reconfigurable Computing, Springer International Publishing, Cham, 2019, pp. 127–136.