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Results: 32
Number of items: 32
  • Open Access
    van Etten, T., Degeler, V., & Luo, D. (2024). Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling. In A. Vinel, K. Berns, J. Ploeg, & O. Gusikhin (Eds.), VEHITS 2024: proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems : 2-4 May, 2024, Angers, France (pp. 40-51). SciTePress. https://doi.org/10.5220/0012555400003702
  • Open Access
    Hadadian Nejad Yousefi, M., Degeler, V., & Lazovik, A. (2024). Self-Adaptive Service Selection for Machine Learning Continuous Delivery. In R. N. Chang, C. K. Chang, Z. Jiang, J. Yang, Z. Jin, M. Sheng, J. Fan, K. Fletcher, Q. He, C. Ardagna, J. Yang, J. Yin, Z. Wang, A. Beheshti, S. Russo, N. Atukorala, J. Wu, P. S. Yu, H. Ludwig, S. Reiff-Marganiec, W. E. Zhang, A. Sailer, N. Bena, K. Li, Y. Watanabe, T. Zhao, S. Wang, Z. Tu, Y. Wang, ... K. Wei (Eds.), 2024 IEEE International Conference on Web Services: IEEE ICWS 2024 : Shenzhen, China, 7-13 July 2024 : proceedings (pp. 1048-1056). IEEE Computer Society. https://doi.org/10.1109/ICWS62655.2024.00123
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2024). 3K: Knowledge-Enriched Digital Twin Framework. In Proceedings of the 14th International Conference on the Internet of Things 2024: IoT2024 : Oulu, Finland, 19.-22. Nov 2024 (pp. 188-193). Association for Computing Machinery. https://doi.org/10.1145/3703790.3703834
  • Karabulut, E., Pileggi, S. F., Groth, P., & Degeler, V. (2023, July 21). Data and Statistics for the SLR entitled "Ontologies in Digital Twins: A Systematic Literature Review" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8172341
  • Open Access
    Lotfian Delouee, M., Koldehofe, B., & Degeler, V. (2023). AQuA-CEP: Adaptive Quality-Aware Complex Event Processing in the Internet of Things. In DEBS 2023: proceedings of the 17th ACM International Conference on Distributed and Event-based Systems : June 27-30, 2023, Neuchâtel, Switzerland (pp. 13-24). Association for Computing Machinery. https://doi.org/10.1145/3583678.3596884
  • Open Access
    Yousefi, M. H. N., Degeler, V., & Lazovik, A. (2023). Empowering Machine Learning Development with Service-Oriented Computing Principles. In M. Aiello, J. Barzen, S. Dustdar, & F. Leymann (Eds.), Service-Oriented Computing - 17th Symposium and Summer School, SummerSOC 2023, Revised Selected Papers: 17th Symposium and Summer School, SummerSOC 2023, Heraklion, Crete, Greece, June 25–July 1, 2023 : revised selected papers (pp. 24-44). (Communications in Computer and Information Science; Vol. 1847). Springer. https://doi.org/10.1007/978-3-031-45728-9_2
  • Open Access
    Demchenko, Y., Degeler, V., Opresu, A., & Brewer, S. (2023). Professional and 21st Century Skills for Data Driven Digital Economy. In 2023 IEEE Global Engineering Education Conference (EDUCON): Salmiya, Kuwait, 1-4 May 2023, American University of Kuwait (pp. 847-854). IEEE. https://doi.org/10.1109/EDUCON54358.2023.10125263
  • Open Access
    Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. ArXiv. https://doi.org/10.48550/arXiv.2310.07348
  • Open Access
    Lotfian Delouee, M., Koldehofe, B., & Degeler, V. (2023). Poster: Towards Pattern-Level Privacy Protection in Distributed Complex Event Processing. In DEBS 2023: proceedings of the 17th ACM International Conference on Distributed and Event-based Systems : June 27-30, 2023, Neuchâtel, Switzerland (pp. 185-186). Association for Computing Machinery. https://doi.org/10.1145/3583678.3603278
  • Open Access
    Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. In A. Waaler, E. Kharlamov, B. Zhou, A. Soylu, D. Kyritsis, D. Roman, O. Savkovic, & S. Staab (Eds.), Proceedings of the Second International Workshop on Semantic Industrial Information Modelling (SemIIM 2023) : co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Greece, Athens, 7 November 2023 Article 3 (CEUR workshop proceedings; Vol. 3647). CEUR-WS. https://doi.org/10.48550/arXiv.2310.07348
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