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Results: 230
Number of items: 230
  • Open Access
    Zhu, Z., Ai, C., Chen, H., Chen, B., Duan, W., Qiu, X., Lu, X., He, M., Zhao, Z., & Liu, Z. (2023). Understanding the Necessity and Economic Benefits of Lockdown Measures to Contain COVID-19. IEEE Transactions on Computational Social Systems, 10(4), 1888-1900. https://doi.org/10.1109/TCSS.2022.3194639
  • 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
  • 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
    Wang, Y., Janse, N., Bianchi, R., Koulouzis, S., & Zhao, Z. (2023). Towards a Service-based Adaptable Data Layer for Cloud Workflows. In H. Shahriar, Y. Teranishi, A. Cuzzocrea, M. Sharmin, D. Towey, A. K. M. J. A. Majumder, H. Kashiwazaki, J.-J. Yang, M. Takemoto, N. Sakib, R. Banno, & S. I. Ahamed (Eds.), 2023 IEEE 47th Annual Computers, Software, and Applications Conference: 27-29 June 2023, Torino, Italy : proceedings (pp. 904-911). (COMPSAC; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/COMPSAC57700.2023.00121
  • Open Access
    Liu, H., Oudejans, M., Xin, R., Grosso, P., & Zhao, Z. (2023). A Performance-Adaptive and Time-Monitored Autonomous Ticket Booking Service in Cloud. In 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE): 19-21 June, 2023, Helsinki-Espoo, Finland : proceedings (pp. 940-945). IEEE. https://doi.org/10.1109/ISIE51358.2023.10228152
  • 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
    Xin, R., Liu, H., Chen, P., & Zhao, Z. (2023). Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework. Journal of Cloud Computing, 12, Article 7. https://doi.org/10.1186/s13677-022-00383-6
  • 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
    Farshidi, S., Liao, X., Li, N., Goldfarb, D., Magagna, B., Stocker, M., Jeffery, K., Thijsse, P., Pichot, C., Petzold, A., & Zhao, Z. (2023). Knowledge sharing and discovery across heterogeneous research infrastructures. Open Research Europe, 1, Article 68. https://doi.org/10.12688/openreseurope.13677.3
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