Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 32
Number of items: 32
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2025). Neurosymbolic Association Rule Mining from Tabular Data. Proceedings of Machine Learning Research, 284, 565-588. https://doi.org/10.48550/arXiv.2504.19354
  • 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
  • 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
    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
  • Open Access
    Lotfian Delouee, M., Pernes, D. G., Degeler, V., & Koldehofe, B. (2024). Poster: Towards Federated LLM-Powered CEP Rule Generation and Refinement. In DEBS 2024: Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems : June 25-29, 2024, Villeurbanne, France (pp. 185-186). Association for Computing Machinery. https://doi.org/10.1145/3629104.3672429
  • 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
    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
    Truong, H., Tello, A., Lazovik, A., & Degeler, V. (2024). Graph Neural Networks for Pressure Estimation in Water Distribution Systems. Water Resources Research, 60(7), Article e2023WR036741. https://doi.org/10.1029/2023WR036741
  • 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
Page 2 of 4