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DS - BI
University of Groningen
Nijenborgh 9
9747 AG Groningen
The Netherlands

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2024

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  1. Hadadian Nejad Yousefi, M., Degeler, V., & Lazovik, A. (2024). Self-Adaptive Service Selection for Machine Learning Continuous Delivery. IEEE International Conference on Web Services, 1048–1056. https://doi.org/10.1109/ICWS62655.2024.00123
  2. Medema, M., Breeman, L., & Lazovik, A. (2024). Limiting the memory consumption of caching for detecting subproblem dominance in constraint problems. Constraints, 29, 152–191. https://doi.org/10.1007/s10601-024-09374-7
  3. Boughzala, B., & Koldehofe, B. (2024). Poster: In-Network Total Order Guarantees Supporting State Machine Replication with P4 Programmable Switches. Proceedings of the 32nd IEEE International Conference on Network Protocols (IEEE ICNP 2024), 1–3. https://doi.org/10.1109/ICNP61940.2024.10858540
  4. Tello, A., Truong, H., Lazovik, A., & Degeler, V. (2024, September 4). Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks. Engineering Proceedings. https://doi.org/10.3390/engproc2024069050
  5. Groefsema, H., & van Beest, N. R. T. P. (2024). Supporting business process variability through declarative process families. Computers in Industry, 159-160. https://doi.org/10.1016/j.compind.2024.104107
  6. Truong, H., Tello, A., Lazovik, A., & Degeler, V. (2024). Graph Neural Networks for Pressure Estimation in Water Distribution Systems. Water Resources Research, 60(7). https://doi.org/10.1029/2023WR036741
  7. Boughzala, B., & Koldehofe, B. (2024). In-Network Management of Parallel Data Streams over Programmable Data Planes. Proceedings of the 23rd International Federation for Information Processing Networking Conference (IFIP NETWORKING 2024), 50–58. https://doi.org/10.23919/IFIPNetworking62109.2024.10619812
  8. Khalil, A., Lotfian Delouee, M., Degeler, V., Meuser, T., & A. Fernandez Anta, B. K. (2024, June 11). Driving Towards Efficiency: Adaptive Resource-aware Clustered Federated Learning in Vehicular Networks. The 22nd Mediterranean Communication and Computer Networking Conference (MedComNet’24). https://research.rug.nl/en/publications/driving-towards-efficiency-adaptive-resource-aware-clustered-fede
  9. Saleh, S., Goossens, A. S., Shu, S., Banerjee, T., & Koldehofe, B. (2024, June). Analog In-Network Computing through Memristor-based Match-Compute Processing. Proceedings of the 43rd International Conference on Computer Communications (INFOCOM 2024). https://hdl.handle.net/11370/bae8a4e6-61c6-46c6-b8a3-c9d054610009
  10. Saleh, S., Shu, S., & Koldehofe, B. (2024, June). dAQM: Derivative-based Active Queue Management. Proceedings of the 23rd IFIP Networking Conference (NETWORKING 2024). https://hdl.handle.net/11370/70f406a6-c56f-4968-9f41-fb91eecea7a8
  11. Saleh, S., Shu, S., & Koldehofe, B. (2024, May). Adaptive In-Network Queue Management using Derivatives of Sojourn Time and Buffer Size. Proceedings of the 37th Network Operations and Management Symposium (NOMS 2024) . https://hdl.handle.net/11370/54af0761-645c-4bce-8c0a-c3bbd8c90358
  12. Tello, A., Degeler, V., & Lazovik, A. (2024). Too Good To Be True: accuracy overestimation in (re)current practices for Human Activity Recognition. 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events, PerCom Workshops 2024, 511–517. https://doi.org/10.1109/PerComWorkshops59983.2024.10503465
  13. Saleh, S., & Koldehofe, B. (2024, April). Beyond Digital! Memristor-based Energy Efficient Analog Network Functions. ICT.OPEN - CompSys Research for a Responsibly Digitalised Society. https://www.cs.rug.nl/ds/Publications/Publications
  14. Lotfian Delouee, M., Degeler, V., Amthor, P., & Koldehofe, B. (2024, February 26). APP-CEP: Adaptive Pattern-level Privacy Protection in Complex Event Processing Systems. The 10th International Conference on Information Systems Security and Privacy (ICISSP 2024). https://research.rug.nl/en/publications/app-cep-adaptive-pattern-level-privacy-protection-in-complex-even
  15. Saleh, S., & Koldehofe, B. (2024, January). Towards Analog In-Network Computing for Supporting Cognitive and Energy-Efficient Network Functions. 6th International Conference on Applications of Intelligent Systems (APPIS 2024). https://www.cs.rug.nl/ds/Publications/Publications
  16. Degeler, V., Hadadian, M., Karabulut, E., Lazovik, A., Loo, H. van het, Tello, A., & Truong, H. (2024). DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation (pp. 62–82). Springer International Publishing, Cham, Switzerland. https://doi.org/10.1007/978-3-031-75390-9_5
  17. Rigoni, D., & Düştegör, D. (2024). Science-Twins: Digital Twins for Interactive Lecture Demonstrations. 1st International Workshop on Distributed Digital Twins, DiDit 2024.
  18. Y., M. H. N., Degeler, V., & Lazovik, A. (2024). Self-adaptive service selection for machine learning continuous delivery. 2024 IEEE International Conference on Web Services (ICWS).
  19. Degeler, V., Hadadian, M., Karabulut, E., Lazovik, H. A., van het Loo, H., Tello, A., & Troung, H. (2024). DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks.
  20. Adi Paramartha Putra, M., Bogi Aditya Karna, N., Naufal Alief, R., Zainudin, A., Kim, D.-S., Lee, J.-M., & Sampedro, G. A. (2024). PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain Network. IEEE Access, 12, 82413–82426.
  21. Zainudin, A., Putra, M. A. P., Alief, R. N., Akter, R., Kim, D.-S., & Lee, J.-M. (2024). Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse. IEEE Internet of Things Journal, 11(10), 18221–18236.
  22. Zainudin, A., Paramartha Putra, M. A., Alief, R. N., Kim, D.-S., & Lee, J.-M. (2024). Blockchain-aided Collaborative Threat Detection for Securing Digital Twin-based IIoT Networks. IEEE International Conference on Communications, 4656–4661.
  23. Putra, M. A. P., Karna, N., Hertiana, S. N., Zainudin, A., Alief, R. N., Sampedro, G. A., Kim, D.-S., & Lee, J.-M. (2024). SECC: A Secure and Efficient Communication Channel for Federated Learning System. International Conference on ICT Convergence, 2099–2104.
  24. Golam, M., Ara Tuli, E., Naufal Alief, R., Kim, D.-S., & Lee, J.-M. (2024). Meta-Learning: A Digital Learning Management Framework Using Blockchain for Metaverses. IEEE Access, 12, 92774–92786.
  25. Putra, M. A. P., Alief, R. N., Rachmawati, S. M., Sampedro, G. A., Kim, D.-S., & Lee, J.-M. (2024). Proof-of-authority-based secure and efficient aggregation with differential privacy for federated learning in industrial IoT. Internet of Things Netherlands, 25.