Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 32
Number of items: 32
  • Open Access
    Melnikov, O., Dorofieiev, Y., Shakhnovskiy, Y., Truong, H., & Degeler, V. (2026). A Multivariate Statistical Framework for Detection, Classification and Pre-localization of Anomalies in Water Distribution Networks. Expert Systems With Applications, 313, Article 131450. https://doi.org/10.1016/j.eswa.2026.131450
  • van den Barg, J. A. A., & Degeler, V. (2025, June 26). Data and Statistics for the systematic literature review entitled: "Earth Science Digital Twins: A Systematic Literature Review" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15707710
  • Open Access
    Peltonen, E., Bayhan, S., Bermbach, D., Buschjager, S., Degeler, V., Ding, A. Y., Incel, Ö. D., Katare, D., Kjargaard, M. B., Leroux, S., Mahmoodi, T., Mann, Z. Á., Meratnia, N., Pimentel, A. D., Rellermeyer, J. S., Rivière, E., Sapra, D., Solmaz, G., & van der Waaij, B. (2025). Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. IEEE Internet Computing, 29(2), 8-18. https://doi.org/10.1109/MIC.2025.3566642
  • Open Access
    Degeler, V., Hadadian, M., Karabulut, E., Lazovik, A., van het Loo, H., Tello, A., & Truong, H. (2025). DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks. In T. Margaria, & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Application Areas: 12th International Symposium, ISoLA 2024, Crete, Greece, October 27–31, 2024 : proceedings (Vol. V, pp. 62-82). (Lecture Notes in Computer Science; Vol. 15223). Springer. https://doi.org/10.1007/978-3-031-75390-9_5
  • Open Access
    Lotfian Delouee, M., Degeler, V., Amthor, P., Schut, M. C., & Koldehofe, B. (2025). Pattern-Level Privacy Protection in Event-Based Systems. SN Computer Science, 6(8), Article 1014. https://doi.org/10.1007/s42979-025-04574-1
  • Open Access
    Karabulut, E., Daza, D., Groth, P., & Degeler, V. (2025). Discovering Association Rules in High-Dimensional Small Tabular Data. In A. Agiollo, E. Bardhi, G. Ciatto, S. Dumancic, & G. Marra (Eds.), Proceedings of the 1st International Workshop on Advanced Neuro-Symbolic Applications: co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025) : Bologna, Italy, October 26, 2025 (pp. 105-113). (CEUR Workshop Proceedings; Vol. 4125). CEUR-WS. https://ceur-ws.org/Vol-4125/paper_26.pdf
  • 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
  • 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
    Karabulut, E., Groth, P., & Degeler, V. (2025). Learning Semantic Association Rules from Internet of Things Data. Neurosymbolic Artificial Intelligence, 1. https://doi.org/10.1177/29498732251377518
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2025). PyAerial: Scalable association rule mining from tabular data. SoftwareX, 31, Article 102341. https://doi.org/10.1016/j.softx.2025.102341
Page 1 of 4