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Results: 13
Number of items: 13
  • 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
    Li, N., Qi, Y., Xin, R., Zhu, P., & Zhao, Z. (2025). Leveraging active learning for ocean data quality assessment: reducing labeling workload and addressing severe data imbalance challenges. International Journal of Data Science and Analytics, 20(5), 4777-4798. https://doi.org/10.1007/s41060-025-00751-w
  • Open Access
    Li, N. (2025). Data quality control and research asset discovery for open science. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    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
  • Li, N., Zhang, Y., & Zhao, Z. (2023). CNSVRE: A Query Reformulated Search System with Explainable Summarization for Virtual Research Environment. In The ACM Web Conference 2023: Companion of the World Wide Web Conference WWW 2023 : April 30-May 4, 2023, Austin, Texas, USA (pp. 254-257). Association for Computing Machinery. https://doi.org/10.1145/3543873.3587360
  • 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
    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
  • Open Access
    Li, N., Zhang, Y., & Zhao, Z. (2023). A Dense Retrieval System and Evaluation Dataset for Scientific Computational Notebooks. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 179-188). Article 19 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254859
  • 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
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