Maja Spahic
Maja Spahic
Activities at FHNW
Lecturer, MSc Business Information Systems
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No peer reviewed content available
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Peer reviewedKostic, M., Witschel, H. F., Hinkelmann, K., & Spahic, M. (2024). LLMs in automated essay evaluation: a case study. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI Symposium Series (Vol. 3, Issue 1, pp. 143–147). AAAI Press. https://doi.org/10.1609/aaaiss.v3i1.31193
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Peer reviewedBeutling, 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
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Peer reviewedBeuchat, 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
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Peer reviewedMäder, 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
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Peer reviewedEichele, 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
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Peer reviewedTelesko, 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
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Peer reviewedSpahic, 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
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Spahic, M. (2020). Enterprise Maps: Zooming in and out of Enterprise Models [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/40391
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Peer reviewedEggenschwiler, 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
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Peer reviewedHinkelmann, 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
Contact
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Maja Spahic
- Lecturer, MSc Business Information Systems
- Telephone
- +41 62 957 27 34 (direct)
- bWFqYS5zcGFoaWNAZmhudy5jaA==
- FHNW University of Applied Sciences and Arts Northwestern Switzerland
School of Business
Riggenbachstrasse 16
CH – 4600 Olten