-
Muguruza, G., & Speelman, F. (2024). Port-Based State Preparation and Applications. Quantum, 8, Article 1573. https://doi.org/10.22331/q-2024-12-18-1573 -
Escolà-Farràs, L., Ray, A. A., Allerstorfer, R., Škorić, B., & Speelman, F. (2024). Continuous-variable quantum position verification secure against entangled attackers. Physical Review A, 110(6), Article 062605. https://doi.org/10.1103/physreva.110.062605
-
Alsayed Kassem, J., Allaart, C., Amiri, S., Kebede, M., Müller, T., Turner, R., Belloum, A., van Binsbergen, L. T., Grunwald, P., van Halteren, A., Grosso, P., de Laat, C., & Klous, S. (2024). Building a Digital Health Twin for Personalized Intervention: The EPI Project. In B. R. Haverkort, A. de Jongste, P. van Kuilenburg, & R. D. Vromans (Eds.), Commit2Data Article 2 (OpenAccess Series in Informatics; Vol. 124). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASIcs.Commit2Data.2
-
Zhao, Y., Weng, W., van Nieuwpoort, R., & Uta, A. (2024). In Serverless, OS Scheduler Choice Costs Money: A Hybrid Scheduling Approach for Cheaper FaaS. In Middleware '24: Proceedings of the Twenty-Fifth ACM International Middleware Conference : December 2-6, 2024, Hong Kong, Hong Kong (pp. 172-184). Association for Computing Machinery. https://doi.org/10.1145/3652892.3700757
-
Farshidi, S., Rezaee, K., Mazaheri, S., Rahimi, A. H., Dadashzadeh, A., Ziabakhsh, M., Eskandari, S., & Jansen, S. (2024). Understanding user intent modeling for conversational recommender systems: a systematic literature review. User Modeling and user-adapted Interaction, 34(5), 1643–1706. https://doi.org/10.1007/s11257-024-09398-x
-
Pan, R., Shi, Z., Belloum, A., & Zhao, Z. (2024). Operating ZKPs on Blockchain: A Performance Analysis Based on Hyperledger Fabric. In 2024 IEEE International Conference on Decentralized Applications and Infrastructures: DAPPS 2024 : proceedings : 15-18 July 2024, Shanghai, China (pp. 69-78). IEEE Computer Society. https://doi.org/10.1109/DAPPS61106.2024.00018
-
Yordanov, T. R., Ravelli, A. C. J., Amiri, S., Vis, M., Houterman, S., Van der Voort, S. R., Abu-Hanna, A., & NHR THI Registration Committee (2024). Performance of federated learning-based models in the Dutch TAVI population was comparable to central strategies and outperformed local strategies. Frontiers in Cardiovascular Medicine, 11, Article 1399138. https://doi.org/10.3389/fcvm.2024.1399138
-
Dimoglis, A., Alhamed, F., Dalgkitsis, A., Sgambelluri, A., Paolucci, F., Papagianni, C., & Grosso, P. (2024). In-network Control for Flow Steering. In F. Prudenzano, & M. Marciniak (Eds.), 24th ICTON 2024 - International Conference on Transparent Optical Networks: July 14th-18th, 2024, Bari, Italy : conference proceedings (pp. 290-293). IEEE. https://doi.org/10.1109/ICTON62926.2024.10647782
-
Hou, S., Wang, Y., & Zhao, Z. (2024). CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data Labeling. In EScience '24 proceedings: 2024 IEEE 20th International Conference on e-Science (e-Science) : September 16-20, 2024, Osaka, Japan (pp. 299-300). IEEE. https://doi.org/10.1109/e-science62913.2024.10678683
Page 7 of 31