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Results: 232
Number of items: 232
  • 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
    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., 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
    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
    Zhu, P., Li, N., & Zhao, Z. (2024). Retrieval-augmented Query Reformulation for Heterogeneous Research Asset Retrieval in Virtual Research Environment. In WWW '24 Companion: Companion proceedings of the ACM Web Conference 2024 : May 13-17, 2024, Singapore, Singapore (pp. 907–910). The Association for Computing Machinery. https://doi.org/10.1145/3589335.3651553
  • 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
    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
    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
    Liu, H. (2024). Robust resource management for time-critical tasks in the cloud-edge continuum. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Cheng, L., Chen, X., & Zhao, Z. (2024). Preface of special issue on Artificial Intelligence for time-critical computing systems. Future Generation Computer Systems, 159, 102-104. https://doi.org/10.1016/j.future.2024.05.011
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