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Beutling, N., & Spahic, M. (2024). Personalised course recommender: Linking learning objectives and career goals through competencies. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI 2024 Spring Symposium Series: Vol. 3(1) (pp. 72–81). Stanford University. https://doi.org/10.1609/aaaiss.v3i1.31185

Beuchat, G., Hinkelmann, K., & Spahic, M. (2024). Ontology-based course recommendation. In H. Smuts & K. Hinkelmann (Eds.), Proceedings of the 2024 Conference Society 5.0 - Innovation for Sustainable and Inclusive Social Good (Vol. 2, pp. 23–35). Zenodo. https://doi.org/10.5281/zenodo.11619278

Mäder, D., Spahic, M., & Witschel, H. F. (2024). Student performance prediction model based on course description and student similarity. In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), Advanced information systems engineering workshops (pp. 97–108). Springer. https://doi.org/10.1007/978-3-031-61003-5_9

Eichele, S., Hinkelmann, K., & Spahic, M. (2023). Ontology-driven enhancement of process mining with domain knowledge. In A. Martin, H.-G. Fill, A. Gerber, K. Hinkelmann, D. Lenat, R. Stolle, & F. v. Harmelen (Eds.), Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-7371

Telesko, R., Spahic, M., Hinkelmann, K., & Pande, C. (2023). A new approach for teaching programming: model-based agile programming (MBAD). ICIEI 2023. Proceedings of 2023 the 8th International Conference on Information and Education Innovations, 13–18. https://doi.org/10.1145/3594441.3594445

Spahic, M., & Hinkelmann, K. (2022). Enterprise maps: zooming in and out of enterprise models. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Proceedings of the 24th International Conference on Enterprise Information Systems (Vol. 2, pp. 515–526). SciTePress. https://doi.org/10.5220/0011063700003179

Eggenschwiler, S., Spahic, M., Hanne, T., & Dornberger, R. (2020). Comparison of swarm and graph algorithms for solving travelling salesman problems. 2020 7th Intl. Conference on Soft Computing Machine Intelligence (ISCMI 2020). November 14-15, 2020, Stockholm, Sweden, 1–7. https://doi.org/10.1109/ISCMI51676.2020.9311558

Hinkelmann, K., Laurenzi, E., Martin, A., Montecchiari, D., Spahic, M., & Thönssen, B. (2020). ArchiMEO: A standardized enterprise ontology based on the ArchiMate conceptual model. In S. Hammoudi, L. Ferreira Pires, & B. Selić (Eds.), Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development (Vol. 1, pp. 417–424). https://doi.org/10.5220/0009000204170424