Search results

    Filter results

  • Full text

  • Document type

  • Publication year

  • Organisation

Results: 36
Number of items: 36
  • Open Access
    La Marra, M., Blanson Henkemans, D., Titocci, J., Koulouzis, S., Rosati, I., & Zhao, Z. (2023). Integrating R in a distributed scientific workflow via a Jupyter-based Environment. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 481-482). Article 70 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254945
  • 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
    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., Farshidi, S., Bianchi, R., Koulouzis, S., & Zhao, Z. (2022). Context-Aware Notebook Search in a Jupyter-Based Virtual Research Environment. In eScience '22 : Democratizing science : 2022 IEEE 18th International Conference on e-Science: proceedings : eScience 2022 : Salt Lake City, Utah, USA, 10-14 October 202 (pp. 393-394). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/eScience55777.2022.00054
  • Open Access
    Zhao, Z., Koulouzis, S., Bianchi, R., Farshidi, S., Shi, Z., Xin, R., Wang, Y., Li, N., Shi, Y., Timmermans, J., & Kissling, W. D. (2022). Notebook-as-a-VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment. Software - Practice and Experience, 52(9), 1947-1966. https://doi.org/10.1002/spe.3098
  • Open Access
    Wang, Y., Koulouzis, S., Bianchi, R., Li, N., Shi, Y., Timmermans, J., Kissling, W. D., & Zhao, Z. (2022). Scaling Notebooks as Re-configurable Cloud Workflows. Data Intelligence, 4(2), 409-425. https://doi.org/10.1162/dint_a_00140
  • Open Access
    Koulouzis, S., Bianchi, R., van der Linde, R., Wang, Y., & Zhao, Z. (2022). SPIRIT: A Microservice-Based Framework for Interactive Cloud Infrastructure Planning. In R. Chaves, D. B. Heras, A. Ilic, & D. Unat (Eds.), Euro-Par 2021: Parallel Processing Workshops: Euro-Par 2021 International Workshops, Lisbon, Portugal, August 30-31, 2021 : revised selected papers (pp. 405-416). (Lecture Notes in Computer Science; Vol. 13098). Springer. https://doi.org/10.1007/978-3-031-06156-1_32
  • Open Access
    Saurabh, N., Rubia, C., Palanisamy, A., Koulouzis, S., Sefidanoski, M., Chakravorty, A., Zhao, Z., Karadimce, A., & Prodan, R. (2021). The ARTICONF approach to decentralized car-sharing. Blockchain: Research and Applications, 2(3), Article 100013. https://doi.org/10.1016/j.bcra.2021.100013
  • Shi, Z., Zhou, H., Koulouzis, S., Rubia, C., & Zhao, Z. (2020). Co-located and Orchestrated Network Fabric (CONF): An Automated Cloud Virtual Infrastructure for Social Network Applications. In U. Schwardmann, C. Boehme, & D. B. Heras (Eds.), Euro-Par 2019: Parallel Processing Workshops: Euro-Par 2019 International Workshops, Göttingen, Germany, August 26–30, 2019 : revised selected papers (pp. 464-475). (Lecture Notes in Computer Science; Vol. 11997). Springer. https://doi.org/10.1007/978-3-030-48340-1_36
  • Open Access
    Koulouzis, S., Carval, T., Heikkinen, J., Pursula, A., & Zhao, Z. (2020). Case Study: Data Subscriptions Using Elastic Cloud Services. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 293-306). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_16
Page 1 of 4