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Results: 232
Number of items: 232
  • 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
    Launet, L., Wang, Y., Colomer, A., Igual, J., Pulgarín-Ospina, C., Koulouzis, S., Bianchi, R., Mosquera-Zamudio, A., Monteagudo, C., Naranjo, V., & Zhao, Z. (2023). Federating Medical Deep Learning Models from Private Jupyter Notebooks to Distributed Institutions. Applied Sciences, 13(2), Article 919. https://doi.org/10.3390/app13020919
  • 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
    Simion, E., Wang, Y., Tai, H., Odyurt, U., & Zhao, Z. (2023). Towards Seamless Serverless Computing Across an Edge-Cloud Continuum. 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 41 Association for Computing Machinery. https://doi.org/10.1145/3603166.3632537
  • Open Access
    Shi, Z., de Laat, C., Grosso, P., & Zhao, Z. (2023). Integration of Blockchain and Auction Models: A Survey, Some Applications, and Challenges. IEEE Communications Surveys and Tutorials, 25(1), 497-537. https://doi.org/10.1109/COMST.2022.3222403
  • Open Access
    Rito Lima, I., Filipe, V., Marinho, C., Ulisses, A., Chakravorty, A., Hristov, A., Saurabh, N., Zhao, Z., Xin, R., & Prodan, R. (2023). ARTICONF decentralized social media platform for democratic crowd journalism. Social Network Analysis and Mining, 13, Article 116. https://doi.org/10.1007/s13278-023-01110-y
  • 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
    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
    Xin, R. (2023). Towards effective performance diagnosis for distributed applications. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
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