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Results: 44
Number of items: 44
  • Open Access
    Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. In M. Atzmueller, & W. Duivesteijn (Eds.), 30th Benelux Conference on Artificial Intelligence: BNAIC 2018 Preproceedings : November 8-9, 2018, Jheronimus Academy of Data Science (JADS), 's-Hertogenbosch, The Netherlands (pp. 43-44). (BNAIC; Vol. 30). Jheronimus Academy of Data Science.
  • Open Access
    Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. 17. Abstract from 17th Dutch-Belgian Information Retrieval Workshop, Leiden, Netherlands. https://arxiv.org/abs/1812.04265
  • Open Access
    Dehghani, M., & Kamps, J. (2018). Learning to Rank from Samples of Variable Quality. In The First International Workshop on Learning from Limited or Noisy Data for Information Retrieval: July 12th, 2018, Ann Arbor, Michigan, USA, co-located with SIGIR 2018. Accepted papers ArXiv. https://doi.org/10.48550/arXiv.1806.08694
  • Open Access
    Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. In CIKM'18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 497-506). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3271800
  • Dehghani, M., Rothe, S., Alfonseca , E., & Fleury, P. (2017). Learning to Attend, Copy, and Generate for Session-Based Query Suggestion. In CIKM'17 : proceedings of the 2017 ACM on Conference on Information and Knowledge Management: November 6-10, 2017, Singapore, Singapore (pp. 1747-1756). Association for Computing Machinery. https://doi.org/10.1145/3132847.3133010
  • Open Access
    Dehghani, M., Zamani, H., Severyn, A., Kamps, J., & Croft, W. B. (2017). Neural Ranking Models with Weak Supervision. In B. Verheij, & M. Wiering (Eds.), BNAIC 2017: Benelux Conference on Artificial Intelligence: Preproceedings of the 29th Benelux Conference on Artificial Intelligence, November 8–9, 2017 in Groningen, The Netherlands (pp. 372-373). (BNAIC; Vol. 29). University of Groningen. http://bnaic2017.ai.rug.nl/preproceedings.pdf
  • Open Access
    Dehghani, M., Severyn, A., Rothe, S., & Kamps, J. (2017). Learning to Learn from Weak Supervision by Full Supervision. Paper presented at Workshop on Meta-Learning (MetaLearn 2017), Long Beach, California, United States. https://meta-learn.github.io/2017/papers/metalearn17_dehghani.pdf
  • Open Access
    Dehghani, M., Jagfeld, G., Azarbonyad, H., Olieman, A., Kamps, J., & Marx, M. (2017). Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search. In CHIIR'17 : proceedings of the 2017 Conference Human Information Interaction and Retrieval : March 7-11, 2017, Oslo, Norway (pp. 369-372). The Association for Computing Machinery. https://doi.org/10.1145/3020165.3022155
  • Open Access
    Dehghani, M., Zamani, H., Severyn, A., Kamps, J., & Croft, W. B. (2017). Neural Ranking Models with Weak Supervision. Abstract from 16th Dutch-Belgian Information Retrieval Workshop, Hilversum, Netherlands. https://marijnkoolen.github.io/dir2017/accepted-submissions/DIR2017_paper_3.pdf
  • Open Access
    Kenter, T., Borisov, A., Van Gysel, C., Dehghani, M., de Rijke, M., & Mitra, B. (2017). Neural Networks for Information Retrieval. In SIGIR'17 : proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval: August 7-11, 2017, Shinjuku, Tokyo, Japan (pp. 1403-1406). Association for Computing Machinery. https://doi.org/10.1145/3077136.3082062
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