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Results: 232
Number of items: 232
  • Open Access
    Kontomaris, C., Wang, Y., & Zhao, Z. (2023). CWL-FLOps: A Novel Method for Federated Learning Operations at Scale. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 479-480). Article 69 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254788
  • Open Access
    Liu, H., Chen, P., Ouyang, X., Gao, H., Yan, B., Grosso, P., & Zhao, Z. (2023). Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution. Future Generation Computer Systems, 146, 18-33. https://doi.org/10.1016/j.future.2023.03.029
  • Open Access
    Tabatabaei, Z., Wang, Y., Colomer, A., Oliver Moll, J., Zhao, Z., & Naranjo, V. (2023). WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval. Bioengineering, 10(10), Article 1144. https://doi.org/10.3390/bioengineering10101144
  • Open Access
    Xin, R., Liu, H., Chen, P., & Zhao, Z. (2023). Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework. Journal of Cloud Computing, 12, Article 7. https://doi.org/10.1186/s13677-022-00383-6
  • Open Access
    Christou, V., Wang, Y., & Zhao, Z. (2023). Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 465-466). Article 62 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254845
  • Open Access
    Shi, Z., de Laat, C., Grosso, P., & Zhao, Z. (2023). Integration of Blockchain and Auction Models: A Survey, Some Applications, and Challenges. IEEE Communications Surveys and Tutorials, 25(1), 497-537. https://doi.org/10.1109/COMST.2022.3222403
  • Open Access
    Xin, R. (2023). Towards effective performance diagnosis for distributed applications. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Gallego, A., Odyurt, U., Cheng, Y., Wang, Y., & Zhao, Z. (2023). Machine Learning Inference on Serverless Platforms Using Model Decomposition. In The 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2023): 4-7 December 2023, Hotel Villa Diadoro, Taormina (ME), Italy Article 33 Association for Computing Machinery. https://doi.org/10.1145/3603166.3632535
  • Open Access
    Li, N., Qi, Y., Xin, R., & Zhao, Z. (2023). Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning. In J. He, T. Palpanas, X. Hu, A. Cuzzocrea, D. Dou, D. Slezak, W. Wang, A. Gruca, JC.-W. Lin, & R. Agrawal (Eds.), 2023 IEEE International Conference on Big Data: December 15-18, 2023, Sorrento, Italy : proceedings (pp. 102-107). IEEE. https://doi.org/10.48550/arXiv.2312.10817, https://doi.org/10.1109/BigData59044.2023.10386969
  • Open Access
    Xin, R., Chen, P., & Zhao, Z. (2023). CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications. Journal of Systems and Software, 203, Article 111724. https://doi.org/10.1016/j.jss.2023.111724
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