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

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Victoria Degeler

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2025

  1. 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. https://doi.org/10.1038/s41597-025-06026-0
  2. Tello, A., & Degeler, V. (2025). Contrasting Global and Local Representations for Human Activity Recognition using Graph Neural Networks. 40th Annual ACM Symposium on Applied Computing, SAC 2025, 630–637. https://doi.org/10.1145/3672608.3707743

2024

  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. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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).
  9. 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.

2023

  1. 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 (pp. 24–44). Springer. https://doi.org/10.1007/978-3-031-45728-9_2
  2. Truong, H., Tello, A., Degeler, V., Lazovik, A., & Koellermeier, J. (2023, July 7). Distorted or high-fidelity dataset for data augmentation in Graph Neural Networks?: Improving pressure estimation in Water Distribution Systems. https://2023.ecmlpkdd.org/submissions/phd-forum/
  3. Lotfian Delouee, M., Koldehofe, B., & Degeler, V. (2023, June 27). AQuA-CEP: Adaptive Quality-Aware Complex Event Processing in the Internet of Things. Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems (DEBS 2023). https://research.rug.nl/en/publications/aqua-cep-adaptive-quality-aware-complex-event-processing-in-the-i
  4. Lotfian Delouee, M., Koldehofe, B., & Degeler, V. (2023, June 28). Towards Pattern-Level Privacy Protection in Distributed Complex Event Processing. The 17th ACM International Conference on Distributed and Event-Based Systems (DEBS 2023). https://research.rug.nl/en/publications/towards-pattern-level-privacy-protection-in-distributed-complex-e
  5. Y., M. H. N., Degeler, V., & Lazovik, A. (2023). Empowering Machine Learning Development with Service-Oriented Computing Principles. Symposium and Summer School on Service-Oriented Computing, 24–44.

2022

  1. Lotfian Delouee, M., Koldehofe, B., & Degeler, V. (2022, December 14). Towards adaptive quality-aware Complex Event Processing in the Internet of Things. Proceedings of the 18th International Conference on Mobility, Sensing and Networking (MSN 2022). https://doi.org/10.1109/MSN57253.2022.00095
  2. Riesebos, R., Degeler, V., & Tello, A. (2022). Smartphone-Based Real-Time Indoor Positioning Using BLE Beacons. 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022, 1281–1288. https://doi.org/10.1109/CASE49997.2022.9926639

2021

  1. Tello, A., & Degeler, V. (2021). Digital Twins: An enabler for digital transformation. In B. S. Baalmans, T. L. J. Broekhuizen , & N. E. Fabian (Eds.), The Digital Transformation (pp. 177–203). Groningen Digital Business Centre (GDBC).
  2. Al-Saudi, K., Degeler, V., & Medema, M. (2021). Energy Consumption Patterns and Load Forecasting with Profiled CNN-LSTM Networks. Processes, 9(11). https://doi.org/10.3390/pr9111870
  3. Tello, A., & Degeler, V. (2021). Digital Twins: an enabler for digital transformation. In The Digital Transformation handbook. https://www.rug.nl/gdbc/blog/digital-twins

2020

  1. Degeler, V., Heydenrijk-Ottens, L., Luo, D., van N. Oort, & van Lint, H. (2020). Unsupervised approach towards analysing the public transport bunching swings formation phenomenon. Public Transport. https://doi.org/10.1007/s12469-020-00251-z

2014

  1. Degeler, V., & Lazovik, A. (2014). Dynamic Constraint Satisfaction with Space Reduction in Smart Environments. International Journal on Artificial Intelligence Tools, 23(06). https://doi.org/10.1142/S0218213014600276
  2. Degeler, V., Lazovik, A., Leotta, F., & Mecella, M. (2014). Itemset-based mining of constraints for enacting smart environments. Symposium on Activity and Context Modeling and Recognition, 41–46.
  3. Degeler, V. (2014). Dynamic Rule-Based Reasoning in Smart Environments [PhD thesis, Rijksuniversiteit Groningen]. http://www.rug.nl/research/portal/files/13810772/Complete_dissertation.pdf
  4. Degeler, V., Lazovik, A., Leotta, F., & Mecella, M. (2014). Itemset-based Mining of Constraints for Enacting Smart Environments. Symposium on Activity and Context Modeling and Recognition, 41–46. http://dx.doi.org/10.1109/PerComW.2014.6815162

2013

  1. Nguyen, T. A., Degeler, V., Contarino, R., Lazovik, A., Bucur, D., & Aiello, M. (2013). Towards Context Consistency in a Rule-Based Activity Recognition Architecture. Ubiquitous Intelligence and Computing, IEEE and International Conference on and 10th International Conference on Autonomic and Trusted Computing, 625–630. https://doi.org/10.1109/UIC-ATC.2013.97
  2. Degeler, V., & Lazovik, A. (2013). Architecture pattern for context-aware smart environments. In P. H. D. Riboni B. Guo (Ed.), Creating personal, social and urban awareness through pervasive computing. IGI Global.
  3. Degeler, V., Gonzalez, L. I. L., Leva, M., Shrubsole, P., Bonomi, S., Amft, O., & Lazovik, A. (2013). Service-oriented architecture for smart environments. IEEE International Conference on Service Oriented Computing and Applications, 99–104.
  4. Degeler, V., & Lazovik, A. (2013). Dynamic constraint reasoning in smart environments. IEEE International Conference on Tools with Artificial Intelligence, 167–174.
  5. Degeler, V., & Lazovik, A. (2013). Architecture pattern for context-aware smart environments. In D. Riboni, B. Guo, & P. Hu (Eds.), Creating Personal, Social and Urban Awareness through Pervasive Computing. IGI Global. http://vdegeler.com/files/13patternarch.pdf
  6. Degeler, V., Gonzalez, L. I. L., Leva, M., Shrubsole, P., Bonomi, S., Amft, O., & Lazovik, A. (2013). Service-Oriented Architecture for Smart Environments. IEEE International Conference on Service Oriented Computing and Applications, 99–104. http://vdegeler.com/files/13gbsoca.pdf
  7. Degeler, V., & Lazovik, A. (2013). Dynamic Constraint Reasoning in Smart Environments. IEEE International Conference on Tools with Artificial Intelligence. http://vdegeler.com/files/13rmedcsp.pdf

2012

  1. Degeler, V., & Lazovik, A. (2012). Cost-efficient context-aware rule maintenance. International Conference on Pervasive Computing and Communications Workshops, 608–612.
  2. Georgievski, I., Degeler, V., Pagani, G. A., Nguyen, T. A., Lazovik, A., & Aiello, M. (2012). Optimizing Energy Costs for Offices Connected to the Smart Grid. IEEE Transactions on Smart Grid, 3(4), 2273–2285. https://doi.org/10.1109/TSG.2012.2218666
  3. Nizamic, F., Degeler, V., Groenboom, R., & Lazovik, A. (2012). Policy-Based Scheduling of Cloud Services. Scalable Computing: Practice and Experience, 13(3), 187–199.
  4. Degeler, V., & Lazovik, A. (2012). Reduced context consistency diagrams for resolving inconsistent data. ICST Transactions on Ubiquitous Environments, 12(10-12).
  5. Degeler, V., & Lazovik, A. (2012). Reduced Context Consistency Diagrams for Resolving Inconsistent Data. ICST Transactions on Ubiquitous Environments, 12(10-12). http://eudl.eu/pdf/10.4108/trans.ubienv.2012.10-12.e2
  6. Degeler, V., & Lazovik, A. (2012). Cost-efficient Context-aware Rule Maintenance. Workshop on Context Modeling and Reasoning, 608–612. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6197587&tag=1

2011

  1. Georgievski, I., Degeler, V., Pagani, G. A., Nguyen, T. A., Lazovik, A., & Aiello, M. (2011). Optimizing Offices for the Smart Grid (Technical Report No. JBI 2011-12-01; Issue JBI 2011-12-01). University of Groningen. http://www.cs.rug.nl/ georgievski/pubs/opthect.pdf
  2. Degeler, V., & Lazovik, A. (2011). Interpretation of Inconsistencies via Context Consistency Diagrams. 2011 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS (PERCOM 2011), 20–27.

2010

  1. Degeler, V., Georgievski, I., Lazovik, A., & Aiello, M. (2010). Concept mapping for faster QoS-Aware Web Service Composition. Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference On, 1–4.
  2. Degeler, V., Georgievski, I., Lazovik, A., & Aiello, M. (2010). Concept Mapping for Faster QoS-AwareWeb Service Composition. In EPRINTS-BOOK-TITLE. University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science.