Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 229
Number of items: 229
  • 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
    La Marra, M., Blanson Henkemans, D., Titocci, J., Koulouzis, S., Rosati, I., & Zhao, Z. (2023). Integrating R in a distributed scientific workflow via a Jupyter-based Environment. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 481-482). Article 70 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254945
  • 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
    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
    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
    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
    Wang, Y., Kanwal, N., Engan, K., Rong, C., & Zhao, Z. (2023). Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. In C. K. Chang, R. N. Chang, J. Fan, G. C. Fox, Z. Jin, G. Pravadelli, & H. Shahriar (Eds.), 2023 IEEE International Conference on Digital Health: IEEE ICDH 2023 : hybrid conference, Chicago, Illinois, 2-8 July 2023 : proceedings (pp. 325-327). IEEE Computer Society. https://doi.org/10.1109/ICDH60066.2023.00055
  • Open Access
    Liu, H., Oudejans, M., Xin, R., Grosso, P., & Zhao, Z. (2023). A Performance-Adaptive and Time-Monitored Autonomous Ticket Booking Service in Cloud. In 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE): 19-21 June, 2023, Helsinki-Espoo, Finland : proceedings (pp. 940-945). IEEE. https://doi.org/10.1109/ISIE51358.2023.10228152
  • 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
    Farshidi, S., Liao, X., Li, N., Goldfarb, D., Magagna, B., Stocker, M., Jeffery, K., Thijsse, P., Pichot, C., Petzold, A., & Zhao, Z. (2023). Knowledge sharing and discovery across heterogeneous research infrastructures. Open Research Europe, 1, Article 68. https://doi.org/10.12688/openreseurope.13677.3
Page 5 of 23