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Results: 32
Number of items: 32
  • Open Access
    Tello, A., & Degeler, V. (2025). Contrasting Global and Local Representations for Human Activity Recognition using Graph Neural Networks. In The 40th Annual ACM Symposium on Applied Computing : March 31-April 4, 2025 (pp. 630-637). Association for Computing Machinery. https://doi.org/10.1145/3672608.3707743
  • Open Access
    Truong, H., Tello, A., Lazovik, A., & Degeler, V. (2025). DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks. Scientific Data, 12, Article 1733. https://doi.org/10.1038/s41597-025-06026-0
  • Tello, A., Truong, H., Lazovik, A., & Degeler, V. (2024, May 27). Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11353195
  • 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
  • Open Access
    Tello, A., Degeler, V., & Lazovik, A. (2024). Too Good To Be True: accuracy overestimation in (re)current practices for Human Activity Recognition. In 2024 IEEE International Conference on Pervasive Computing and Communications workshops and other affiliated events (PerCom workshops 2024) : Biarritz, France, 11-15 March 2024 (pp. 511-517). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10503465
  • Open Access
    Khalil, A., Lotfian Delouee, M., Degeler, V., Meuser, T., Fernandez Anta, A., & Koldehofe, B. (2024). Driving Towards Efficiency: Adaptive Resource-Aware Clustered Federated Learning in Vehicular Networks. In 2024 22nd Mediterranean Communication and Computer Networking Conference: MedComNet 2024 : Nice, France, 11-13 June 2024 (pp. 55-64). IEEE. https://doi.org/10.1109/MedComNet62012.2024.10578208
  • 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
    Tello, A., Truong, H., Lazovik, A., & Degeler, V. (2024). Large-Scale Multipurpose Benchmark Datasets for Assessing Data-Driven Deep Learning Approaches for Water Distribution Networks. Engineering Proceedings, 69, Article 50. https://doi.org/10.3390/engproc2024069050
  • Open Access
    Lotfian Delouee, M., Degeler, V., Amthor, P., & Koldehofe, B. (2024). APP-CEP: Adaptive Pattern-level Privacy Protection in Complex Event Processing Systems. In G. Lenzini, P. Mori, & S. Furnell (Eds.), ICISSP 2024: Proceedings of the 10th International Conference on Information Systems Security and Privacy : 26-28 February, 2024, Rome, Italy (pp. 486-497). SciTePress. https://doi.org/10.5220/0012358700003648
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