Hansmeier T, Kenter T, Meyer M, Riebler H, Platzner M, Plessl C. Compute Centers I: Heterogeneous Execution Environments. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:165-182. doi:10.5281/zenodo.8068642

Hansmeier T, Platzner M. Integrating Safety Guarantees into the Learning Classifier System XCS. In: Applications of Evolutionary Computation, EvoApplications 2022, Proceedings. Vol 13224. Lecture Notes in Computer Science. Springer International Publishing; 2022:386-401. doi:10.1007/978-3-031-02462-7_25

Hansmeier T, Brede M, Platzner M. XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion. In: GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM); 2022:2071-2079. doi:10.1145/3520304.3533977

Hansmeier T. Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS. In: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. Association for Computing Machinery (ACM); 2021. doi:10.1145/3468044.3468055

Hansmeier T, Platzner M. An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS. In: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM); 2021:1639–1647. doi:10.1145/3449726.3463159

Hansmeier T, Kaufmann P, Platzner M. An Adaption Mechanism for the Error Threshold of XCSF. In: GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM); 2020:1756-1764. doi:10.1145/3377929.3398106

Hansmeier T, Kaufmann P, Platzner M. Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold. In: GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, NY, United States: Association for Computing Machinery (ACM); 2020:125-126. doi:10.1145/3377929.3389968

Hansmeier T, Platzner M, Pantho MJH, Andrews D. An Accelerator for Resolution Proof Checking based on FPGA and Hybrid Memory Cube Technology. Journal of Signal Processing Systems. 2019;91(11):1259-1272. doi:10.1007/s11265-018-1435-y

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

Hansmeier T, Platzner M, Andrews D. An FPGA/HMC-Based Accelerator for Resolution Proof Checking. In: ARC 2018: Applied Reconfigurable Computing. Architectures, Tools, and Applications. Vol 10824. Lecture Notes in Computer Science. Springer International Publishing; 2018:153-165. doi:10.1007/978-3-319-78890-6_13

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