T. Hansmeier, T. Kenter, M. Meyer, H. Riebler, M. Platzner, and C. Plessl, “Compute Centers I: Heterogeneous Execution Environments,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 165–182.

T. Hansmeier and M. Platzner, “Integrating Safety Guarantees into the Learning Classifier System XCS,”10.1007/978-3-031-02462-7_25__in Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, Madrid, 2022, vol. 13224, pp. 386–401, doi:10.1007/978-3-031-02462-7_25 .

T. Hansmeier, M. Brede, and M. Platzner, “XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion,”10.1145/3520304.3533977__in GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Boston, MA, USA, 2022, pp. 2071–2079, doi:10.1145/3520304.3533977 .

T. Hansmeier, “Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS,”10.1145/3468044.3468055__presented at the International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21), Online, 2021, doi:10.1145/3468044.3468055 .

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 .

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 .

T. Hansmeier, P. Kaufmann, and M. Platzner, “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold,” in GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Cancún, Mexico, 2020, pp. 125–126.

T. Hansmeier, M. Platzner, M. J. H. Pantho, and D. Andrews, “An Accelerator for Resolution Proof Checking based on FPGA and Hybrid Memory Cube Technology,” Journal of Signal Processing Systems, vol. 91, no. 11, pp. 1259–1272, 2019.

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

T. Hansmeier, M. Platzner, and D. Andrews, “An FPGA/HMC-Based Accelerator for Resolution Proof Checking,” in ARC 2018: Applied Reconfigurable Computing. Architectures, Tools, and Applications, Santorini, Greece, 2018, vol. 10824, pp. 153–165.

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