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Results: 1,032
Number of items: 1,032
  • Open Access
    Wu, C., Zhang, R., Guo, J., Chen, W., Fan, Y., de Rijke, M., & Cheng, X. (2022). Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. In CIKM '22: proceedings of the 31st ACM International Conference on Information & Knowledge Management : October 17-21, 2022, Atlanta, GA, USA (pp. 2128-2137). The Association for Computing Machinery. https://doi.org/10.1145/3511808.3557256
  • Open Access
    Wu, C., Zhang, R., Guo, J., de Rijke, M., Fan, Y., & Cheng, X. (2022). PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2204.01321
  • Open Access
    Zhang, Y. (2022). Malevolent dialogue response detection and evaluation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    ter Hoeve, M., Kiseleva, J., & de Rijke, M. (2022). Summarization with Graphical Elements. (v2 ed.) ArXiv. https://doi.org/10.48550/arXiv.2204.07551
  • Open Access
    Lucic, A. (2022). Explaining predictions from machine learning models: algorithms, users, and pedagogy. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Heuss, M., Sarvi, F., & de Rijke, M. (2022). Fairness of Exposure in Light of Incomplete Exposure Estimation. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 759–769). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531977
  • Open Access
    Kale, A., Kallumadi, S., King, T. H., Malmasi, S., de Rijke, M., & Tagliabue, J. (2022). eCom'22: The SIGIR 2022 Workshop on eCommerce. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 3485-3487). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531701
  • Open Access
    Lucic, A., Bleeker, M., Jullien, S., Bhargav, S., & de Rijke, M. (2022). Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. In K. Sycara, V. Honavar, & M. Spaan (Eds.), Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI-22 : virtual conference, Vancouver, Canada, February 22-March 1, 2022 (Vol. 11, pp. 12792-12800). AAAI Press. https://doi.org/10.1609/aaai.v36i11.21558
  • Open Access
    Huang, J., Oosterhuis, H., & de Rijke, M. (2022). It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. In WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining : February 21-25, 2022 : virtual event, Tempe, AZ, USA (pp. 381–389). Association for Computing Machinery. https://doi.org/10.1145/3488560.3498375
  • Open Access
    Pal, V., Kanoulas, E., & de Rijke, M. (2022). Parameter-Efficient Abstractive Question Answering over Tables or Text. In S. Feng, H. Wan, C. Yuan, & H. Yu (Eds.), Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering: proceedings of the workshop : DialDoc 2022 : May 26, 2022 (pp. 41–53). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.dialdoc-1.5
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