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Results: 229
Number of items: 229
  • Open Access
    Cheng, L., Wang, Y., Cheng, F., Liu, C., Zhao, Z., & Wang, Y. (2024). A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling. IEEE Transactions on Sustainable Computing, 9(3), 422-432. https://doi.org/10.1109/TSUSC.2023.3303898
  • Open Access
    Wang, Y., Kanwal, N., Engan, K., Rong, C., Grosso, P., & Zhao, Z. (2024). PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. In J. Carretero, S. Shende, J. Garcia-Blas, I. Brandic, K. Olcoz, & M. Schreiber (Eds.), Euro-Par 2024: Parallel Processing: 30th European Conference on Parallel and Distributed Processing, Madrid, Spain, August 26–30, 2024 : proceedings (Vol. I, pp. 210-224). (Lecture Notes in Computer Science; Vol. 14801), (Advanced Research in Computing and Software Science). Springer. https://doi.org/10.1007/978-3-031-69577-3_15
  • Open Access
    Krishnasamy, A., Wang, Y., & Zhao, Z. (2024). A Collaborative Framework for Facilitating Federated Learning among Jupyter Users. In EScience '24 proceedings: 2024 IEEE 20th International Conference on e-Science (e-Science) : September 16-20, 2024, Osaka, Japan (pp. 305-306). IEEE. https://doi.org/10.1109/e-science62913.2024.10678679
  • Open Access
    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
  • Open Access
    Yuan, S., Chen, J., Jiang, W., Zhao, Z., & Guo, S. (2024). LHNetV2: A Balanced Low-Cost Hybrid Network for Single Image Dehazing. IEEE Transactions on Multimedia, 26, 8197-8209. https://doi.org/10.1109/tmm.2024.3377133
  • Open Access
    Song, Y., Xin, R., Chen, P., Zhang, R., Chen, J., & Zhao, Z. (2024). Autonomous selection of the fault classification models for diagnosing microservice applications. Future Generation Computer Systems, 153, 326-339. https://doi.org/10.1016/j.future.2023.12.005
  • Open Access
    Liu, H. (2024). Robust resource management for time-critical tasks in the cloud-edge continuum. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Jiang, W., Chen, K., Liang, Z., Luo, T., Yue, G., Zhao, Z., Song, W., Zhao, L., & Wen, J. (2024). HT-RCM: Hashimoto's Thyroiditis Ultrasound Image Classification Model Based on Res-FCT and Res-CAM. IEEE Journal of Biomedical and Health Informatics, 28(2), 941-951. https://doi.org/10.1109/JBHI.2023.3331944
  • Open Access
    Li, N., Qi, Y., Li, C., & Zhao, Z. (2024). Active Learning for Data Quality Control: A Survey. Journal of Data and Information Quality, 16(2), Article 11. https://doi.org/10.1145/3663369
  • Li, N., Zhang, Y., & Zhao, Z. (2023). CNSVRE: A Query Reformulated Search System with Explainable Summarization for Virtual Research Environment. In The ACM Web Conference 2023: Companion of the World Wide Web Conference WWW 2023 : April 30-May 4, 2023, Austin, Texas, USA (pp. 254-257). Association for Computing Machinery. https://doi.org/10.1145/3543873.3587360
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