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Results: 232
Number of items: 232
  • Open Access
    Soveizi, N., Candeias, T., Zivkovic, M., & Zhao, Z. (2025). Unsupervised Detection of Anomalous Commits in Software Repositories. In B. Bouqata, T. Seceleanu, J. Berrocal, K. El Maghaouri, & Y. Sun (Eds.), 2025 IEEE International Conference on Software Services Engineering : IEEE SSE 2025: Helsinki, Finland, 7-12 July 2025 : proceedings (pp. 31-38). IEEE Computer Society. https://doi.org/10.1109/SSE67621.2025.00013
  • Open Access
    Xin, R., Wang, J., Chen, P., & Zhao, Z. (2025). Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review. ACM Computing Surveys, 57(5), Article 115. https://doi.org/10.1145/3701740
  • Open Access
    Zhao, Z., Kissling, W. D., Hengeveld, G. M., Athanasiadis, I., Soetaert, K., & Hof, A. (2025). A Virtual Lab Maturity Model for Guiding the Co-Development of Advanced Virtual Research Environments. In Proceedings - 19th IEEE International Conference on Service-Oriented System Engineering: 21-24 July 2025, Tucson, Arizona (pp. 20-26). (SOSE; Vol. 2025). IEEE Computer Society. https://doi.org/10.1109/SOSE67019.2025.00007
  • 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
    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
    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
    Cheng, L., He, H., Gu, Y., Liu, Q., Zhao, Z., & Fang, F. (2024). MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection. In 2024 IEEE 30th International Conference on Parallel and Distributed Systems: ICPADS 2024 : 10-14 October 2024, Belgrade, Serbia : proceedings (pp. 657-666). IEEE Computer Society. https://doi.org/10.1109/ICPADS63350.2024.00091
  • 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
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