ReconO: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support
L. Clausing, M. Platzner, in: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2022, pp. 120–127.

XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion
T. Hansmeier, M. Brede, M. Platzner, in: GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2022, pp. 2071–2079.

ReconROS Executor: Event-Driven Programming of FPGA-accelerated ROS 2 Applications
C. Lienen, M. Platzner, (2022).

Task Mapping for Hardware-Accelerated Robotics Applications using ReconROS
C. Lienen, M. Platzner, in: n.d.

Event-Driven Programming of FPGA-accelerated ROS 2 Robotics Applications
C. Lienen, M. Platzner, in: 2022 25th Euromicro Conference on Digital System Design (DSD), n.d.

On the Detection and Circumvention of Bitstream-Level Trojans in FPGAs
Q.A. Ahmed, M. Platzner, in: IEEE Computer Society Annual Symposium on VLSI (ISVLSI,2022), Pafos, Cyprus, 2022.

LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis
M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, ACM, 2021, pp. 27–32.

MCTS-Based Synthesis Towards Efficient Approximate Accelerators
M. Awais, M. Platzner, in: Proceedings of IEEE Computer Society Annual Symposium on VLSI, IEEE, 2021, pp. 384–389.

Timing Optimization for Virtual FPGA Configurations
L.M. Witschen, T. Wiersema, M. Raeisi Nafchi, A. Bockhorn, M. Platzner, in: F. Hannig, S. Derrien, P. Diniz, D. Chillet (Eds.), Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), Springer Lecture Notes in Computer Science, n.d.

Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS
T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), New York, NY, United States, 2021.

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.