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Results: 16
Number of items: 16
  • Open Access
    Li, N., Farshidi, S., & Zhao, Z. (2025). Search Multiple Types of Research Assets From Jupyter Notebook. Software - Practice and Experience, 55(5), 946-965. https://doi.org/10.1002/spe.3406
  • Open Access
    Wang, Y., Tripathi, S., Farshidi, S., & Zhao, Z. (2025). D-VRE: From a Jupyter-enabled Private Research Environment to Decentralized Collaborative Research Ecosystem. Blockchain: Research and Applications, 6(1), Article 100244. https://doi.org/10.1016/j.bcra.2024.100244
  • Farshidi, S., & Steffens, L. (2024, June 26). Data-Driven Decision Model for Machine Learning Model Selection [Data set]. Mendeley Data. https://doi.org/10.17632/drh9669vc3.1
  • Open Access
    Farshidi, S., Rezaee, K., Mazaheri, S., Rahimi, A. H., Dadashzadeh, A., Ziabakhsh, M., Eskandari, S., & Jansen, S. (2024). Understanding user intent modeling for conversational recommender systems: a systematic literature review. User Modeling and user-adapted Interaction, 34(5), 1643–1706. https://doi.org/10.1007/s11257-024-09398-x
  • Open Access
    Deekshitha, Farshidi, S., Maassen, J., Bakhshi, R., van Nieuwpoort, R., & Jansen, S. (2023). FAIRSECO: An Extensible Framework for Impact Measurement of Research Software. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 199-208). Article 21 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254664
  • 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
  • Farshidi, S. (2022). An adaptable indexing pipeline for enriching meta information of datasets from heterogeneous repositories [Data set]. Mendeley Data. https://doi.org/10.17632/3yb7mhxtyf.1
  • Open Access
    Boyko, A., Farshidi, S., & Zhao, Z. (2022). An Adaptable Framework for Entity Matching Model Selection in Business Enterprises. In 2022 IEEE 24th Conference on Business Informatics: CBI 2022 : proceedings : Amsterdam, The Netherlands, 15-17 June 2022 (Vol. 1, pp. 90-99). IEEE Computer Society. https://doi.org/10.1109/CBI54897.2022.00017
  • Open Access
    Farshidi, S., & Zhao, Z. (2022). An Adaptable Indexing Pipeline for Enriching Meta Information of Datasets from Heterogeneous Repositories. In J. Gama, T. Li, Y. Yu, E. Chen, Y. Zheng, & F. Teng (Eds.), Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022 : proceedings (Vol. II, pp. 472-484). (Lecture Notes in Computer Science; Vol. 13281), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-05936-0_37
  • Open Access
    Shi, Z., Ivankovic, V., Farshidi, S., Surbiryala, J., Zhou, H., & Zhao, Z. (2022). AWESOME: an auction and witness enhanced SLA model for decentralized cloud marketplaces. Journal of Cloud Computing, 11, Article 27. https://doi.org/10.1186/s13677-022-00292-8
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