Compute Centers I: Heterogeneous Execution Environments
T. Hansmeier, T. Kenter, M. Meyer, H. Riebler, M. Platzner, C. Plessl, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 165–182.

Integrating Safety Guarantees into the Learning Classifier System XCS
T. Hansmeier, M. Platzner, in: Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, Springer International Publishing, 2022, pp. 386–401.

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.

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.

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.

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.

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.

An Accelerator for Resolution Proof Checking based on FPGA and Hybrid Memory Cube Technology
T. Hansmeier, M. Platzner, M.J.H. Pantho, D. Andrews, Journal of Signal Processing Systems 91 (2019) 1259–1272.

Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers
T. Hansmeier, Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers, Universität Paderborn, 2019.

An FPGA/HMC-Based Accelerator for Resolution Proof Checking
T. Hansmeier, M. Platzner, D. Andrews, in: ARC 2018: Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, 2018, pp. 153–165.

An FPGA Accelerator for Checking Resolution Proofs
T. Hansmeier, An FPGA Accelerator for Checking Resolution Proofs, Universität Paderborn, 2017.