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Results: 24
Number of items: 24
  • Open Access
    Braakman, J., Mohammadi Ziabari, S. S., & Korver, A. (2025). Enhancing Soil Pollution Prediction Through Expert-Defined Risk Zones and Machine Learning: A Case Study in the Netherlands. In P. Delir Haghighi, M. Greguš, G. Kotsis, & I. Khalil (Eds.), Information Integration and Web Intelligence: 26th International Conference, iiWAS 2024, Bratislava, Slovak Republic, December 2–4, 2024 : proceedings (Vol. II, pp. 219-225). (Lecture Notes in Computer Science; Vol. 15343). Springer. https://doi.org/10.1007/978-3-031-78093-6_19
  • Open Access
    Van de Sype, L., Vert, M., Sharpanskykh, A., & Mohammadi Ziabari, S. S. (2025). Effects of Unplanned Incoming Flights on Airport Relief Processes After a Major Natural Disaster. Aerospace, 12(10), Article 857. https://doi.org/10.3390/aerospace12100857
  • Open Access
    Tigchelaar, K., Mohammadi Ziabari, S. S., & Mulder, J. (2025). The Integration of Federated Learning Techniques in Predictive Aircraft Maintenance Using Cloud Services. In S. Wu, X. Su, X. Xu, & B. H. Kang (Eds.), Knowledge Management and Acquisition for Intelligent Systems: 20th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2024, Kyoto, Japan, November 18–19, 2024 : proceedings (pp. 203-213). (Lecture Notes in Computer Science; Vol. 15372), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-981-96-0026-7_16
  • Open Access
    Curiël, R., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2025). Integrating Climate and Economic Predictors in Hybrid Prophet–(Q)LSTM Models for Sustainable National Energy Demand Forecasting: Evidence from The Netherlands. Sustainability, 17(19), Article 8687. https://doi.org/10.3390/su17198687
  • Open Access
    Ashtar, D., Mohammadi Ziabari, S., & Alsahag, A. M. M. (2025). Hybrid Forecasting for Sustainable Electricity Demand in The Netherlands Using SARIMAX, SARIMAX-LSTM, and Sequence-to-Sequence Deep Learning Models. Sustainability, 17(16), Article 7192. https://doi.org/10.3390/su17167192
  • Open Access
    Chen, J., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2025). An analytics framework for interpretable subseasonal forecasting under decadal climate variability. Decision Analytics Journal, 17, Article 100660. https://doi.org/10.1016/j.dajour.2025.100660
  • Open Access
    Coolwijk, S., Mohammadi Ziabari, S. S., & Angileri, F. (2025). Vision Transformer Approach to Customer Churn Prediction Radar Chart Image Classification for Non-subscription Based E-commerce. In P. Delir Haghighi, M. Greguš, G. Kotsis, & I. Khalil (Eds.), Information Integration and Web Intelligence: 26th International Conference, iiWAS 2024, Bratislava, Slovak Republic, December 2–4, 2024 : proceedings (Vol. II, pp. 75–80). (Lecture Notes in Computer Science; Vol. 15343). Springer. https://doi.org/10.1007/978-3-031-78093-6_6
  • Open Access
    Zhu, C., Mohammadi Ziabari, S. S., & Alsahag, A. M. M. (2025). Task-Adaptive Debiasing with SCM for Sentiment Analysis. Machine Learning for Computational Science and Engineering, 1(2), Article 41. https://doi.org/10.1007/s44379-025-00043-x
  • Open Access
    de Bosscher, B. C. D., Mohammadi Ziabari, S. S., & Sharpanskykh, A. (2024). Towards a Better Understanding of Agent-Based Airport Terminal Operations Using Surrogate Modeling. In L. G. Nardin, & S. Mehryar (Eds.), Multi-Agent-Based Simulation XXIV: 24th International Workshop, MABS 2023, London, UK, May 29–June 2, 2023 : revised selected papers (pp. 16-29). (Lecture Notes in Computer Science; Vol. 14558). Springer. https://doi.org/10.1007/978-3-031-61034-9_2
  • Open Access
    van de Sande, S. N. P., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2024). Enhancing the Predictability of Wintertime Energy Demand in The Netherlands Using Ensemble Model Prophet-LSTM. Processes, 12(11), Article 2519. https://doi.org/10.3390/pr12112519
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