Hansmeier, Tim, et al. “Compute Centers I: Heterogeneous Execution Environments.”10.5281/zenodo.8068642__On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 165–82, doi:10.5281/zenodo.8068642.

Hansmeier, Tim, and Marco Platzner. “Integrating Safety Guarantees into the Learning Classifier System XCS.”10.1007/978-3-031-02462-7_25__Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, vol. 13224, Springer International Publishing, 2022, pp. 386–401, doi:10.1007/978-3-031-02462-7_25.

Hansmeier, Tim, et al. “XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion.”10.1145/3520304.3533977__GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2022, pp. 2071–79, doi:10.1145/3520304.3533977.

Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.”10.1145/3468044.3468055__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, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.”10.1145/3449726.3463159__GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2021, pp. 1639–1647, doi:10.1145/3449726.3463159.

Hansmeier, Tim, et al. “An Adaption Mechanism for the Error Threshold of XCSF.”10.1145/3377929.3398106__GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2020, pp. 1756–64, doi:10.1145/3377929.3398106.

Hansmeier, Tim, et al. “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold.”10.1145/3377929.3389968__GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2020, pp. 125–26, doi:10.1145/3377929.3389968.

Hansmeier, Tim, et al. “An Accelerator for Resolution Proof Checking Based on FPGA and Hybrid Memory Cube Technology.”10.1007/s11265-018-1435-y__Journal of Signal Processing Systems, vol. 91, no. 11, 2019, pp. 1259–72, doi:10.1007/s11265-018-1435-y.

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

Hansmeier, Tim, et al. “An FPGA/HMC-Based Accelerator for Resolution Proof Checking.”10.1007/978-3-319-78890-6_13__ARC 2018: Applied Reconfigurable Computing. Architectures, Tools, and Applications, vol. 10824, Springer International Publishing, 2018, pp. 153–65, doi:10.1007/978-3-319-78890-6_13.

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