Christina Lioma

Christina Lioma

Professor

Medlem af:

    ORCID: 0000-0003-2600-2701

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    1. Udgivet

      Is artificial intelligence magic dust for big-science facilities?

      Nunes Bordallo, Heloisa, Lioma, Christina, Taylor, J. & Argyriou, D. N., 1 jan. 2020, I: IUCrJ. 7, Pt 1, s. 1-2

      Publikation: Bidrag til tidsskrift › Leder › Forskning › fagfællebedømt

    2. Udgivet

      Joint Extraction and Classification of Danish Competences for Job Matching

      Li, Qiuchi & Lioma, Christina, 2023, Advances in Information Retrieval : 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part II. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Kruschwitz, U. & Caputo, A. (red.). Springer, s. 475-483 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    3. Udgivet

      Learning Recommendations from User Actions in the Item-poor Insurance Domain

      Bruun, Simone Borg, Maistro, Maria & Lioma, Christina, 2022, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., s. 113-123 11 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    4. Light syntactically-based index pruning for information retrieval

      Lioma, Christina & Ounis, I., 2007, ECIR'07 Proceedings of the 29th European conference on IR research. s. 88-100

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. Mixed monolingual homepage finding in 34 languages: the role of language script and search domain

      Blanco, R. & Lioma, Christina, 2009, I: Information Retrieval. 12, 3, s. 324-351 28 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    6. Udgivet

      Modelling End-of-Session Actions in Educational Systems

      Hansen, C., Hansen, C., Alstrup, Stephen & Lioma, Christina, 2019, Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019). Université du Québec à Montréal, s. 306-311

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    7. Udgivet

      Modelling Sequential Music Track Skips using a Multi-RNN Approach

      Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019, WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    8. Udgivet

      Multi-dueling bandits and their application to online ranker evaluation

      Brost, B., Seldin, Yevgeny, Cox, Ingemar Johansson & Lioma, Christina, 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2161-2166 6 s. (ACM International Conference on Information and Knowledge Management).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    9. Udgivet

      Multi-head Self-attention with Role-Guided Masks

      Wang, D., Hansen, C., Lima, L. C., Hansen, C., Maistro, Maria, Simonsen, Jakob Grue & Lioma, Christina, 2021, Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings, Part II. Hiemstra, D., Moens, M-F., Mothe, J., Perego, R., Potthast, M. & Sebastiani, F. (red.). Springer, s. 432-439 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12657 LNCS).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    10. Udgivet

      MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

      Augenstein, Isabelle, Lioma, Christina, Wang, D., Chaves Lima, L., Hansen, C., Hansen, C. & Simonsen, Jakob Grue, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, s. 4684-4697

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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