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Results: 232
Number of items: 232
  • Open Access
    Petzold, A., Bundke, U., Hienola, A., Laj, P., Lund Myhre, C., Vermeulen, A., Adamaki, A., Kutsch, W., Thouret, V., Boulanger, D., Fiebig, M., Stocker, M., Zhao, Z., & Asmi, A. (2024). Opinion: New directions in atmospheric research offered by research infrastructures combined with open and data-intensive science. Atmospheric Chemistry and Physics, 24(9), 5369-5388. https://doi.org/10.5194/acp-24-5369-2024
  • 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
    van de Kamp, R., Bakker, K., & Zhao, Z. (2024). Paving the Path Towards Platform Engineering Using a Comprehensive Reference Model. In T. Prince Sales, S. de Kinderen, H. A. Proper, L. Pufahl, D. Karastoyanova, & M. van Sinderen (Eds.), Enterprise Design, Operations, and Computing. EDOC 2023 Workshops: IDAMS, iRESEARCH, MIDas4CS, SoEA4EE, EDOC Forum, Demonstrations Track and Doctoral Consortium, Groningen, The Netherlands, October 30–November 3, 2023 : revised selected papers (pp. 177–193). (Lecture Notes in Business Information Processing; Vol. 498). Springer. https://doi.org/10.1007/978-3-031-54712-6_11
  • Open Access
    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
  • 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
  • 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
    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
    Jiang, W., Luo, T., Liang, Z., Chen, K., He, J., Zhao, Z., Wen, J., Zhao, L., & Song, W. (2024). FBENet: Feature-Level Boosting Ensemble Network for Hashimoto’s Thyroiditis Ultrasound Image Classification. IEEE Journal of Biomedical and Health Informatics, 28(9), 5360–5369. https://doi.org/10.1109/jbhi.2024.3414389
  • 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].
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