Articles dans des revues avec comité de lecture (8)
  1. 1. Coquelet, B., Dejaegere, G., & De Smet, Y. (2025). Evaluating the PROMETHEE II ranking quality. Algorithms, 18(10).
  2. 2. Dejaegere, G., & Sakr, M. (2025). Trajectory compression under bandwidth constraints. Geoinformatica., 119189. doi:10.1007/s10707-025-00546-y
  3. 3. Aktaş, D., Lokman, B., Inkaya, T., & Dejaegere, G. (2024). Cluster ensemble selection and consensus clustering: A multi-objective optimization approach. European journal of operational research, 414, 1065-1077. doi:https://doi.org/10.1016/j.ejor.2023.10.029
  4. 4. Dejaegere, G. (2024). Comparing with Promethee: some new theoretical contributions. 4OR. doi:10.1007/s10288-024-00570-y
  5. 5. Coquelet, B., Dejaegere, G., & De Smet, Y. (2023). Analysis of third alternatives' impact on PROMETHEE II ranking. Journal of multi-criteria decision analysis, 31(1-2), e1823. doi:https://doi.org/10.1002/mcda.1823
  6. 6. Dejaegere, G., & De Smet, Y. (2023). Promethee γ: A new Promethee based method for partial ranking based on valued coalitions of monocriterion net flow scores. Journal of multi-criteria decision analysis, 30(3-4), 147-160. doi:10.1002/mcda.1805
  7. 7. Dejaegere, G., & De Smet, Y. (2022). A new threshold for the detection of possible rank reversal occurrences in PROMETHEE II rankings. International journal of multicriteria decision making, 9(1), 1-16. doi:10.1504/IJMCDM.2022.10049268
  8. 8. Dejaegere, G., Boujelben, M. A., & De Smet, Y. (2022). An axiomatic characterization of Promethee II's net flow scores based on a combination of direct comparisons and comparisons with third alternatives. Journal of multi-criteria decision analysis. doi:10.1002/mcda.1781
    9.   Communications publiées lors de congrès ou colloques nationaux et internationaux (5)
  9. 1. Merten, G., Sakr, M., & Dejaegere, G. (2025). Building a Foundation Model for Trajectory from Scratch. SIGSPATIAL '25: Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems
  10. 2. Merten, G., Dejaegere, G., & Sakr, M. (2025). GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant. SIGSPATIAL '25: Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems
  11. 3. Merten, G., Dejaegere, G., & Sakr, M. (2025). Using LLMs for Analyzing AIS Data. 2025 Symposium on Maritime Informatics and Robotics (MARIS)
  12. 4. Gräupl, T., Reisenbauer, A., Hecko, M., Rasouli, A., Graser, A., Dragaschnig, M., Weissenfeld, A., Dejaegere, G., & Sakr, M. (2025). Federated Learning and Trajectory Compression for Enhanced AIS Coverage. Proceedings of the 2025 Symposium on Maritime Informatics and Robotics (MARIS) 2025 Symposium on Maritime Informatics and Robotics (MARIS)(June 26 2025 to June 27 2025: Syros, Greece)
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