Christina Lioma

Christina Lioma

Professor

Medlem af:

    ORCID: 0000-0003-2600-2701

    Udgivelsesår:
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    1. 2019
    2. 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

    3. Udgivet

      Neural speed reading with structural-jump-LSTM

      Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019.

      Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

    4. Udgivet

      Relationship Between Media Coverage and Measles-Mumps-Rubella (MMR) Vaccination Uptake in Denmark: Retrospective Study

      Hansen, N. D., Molbak, K., Cox, Ingemar Johansson & Lioma, Christina, 2019, I: JMIR Public Health and Surveillance. 5, 1, s. 209-220 e9544.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    5. Udgivet

      To Phrase or Not to Phrase – Impact of User versus System Term Dependence upon Retrieval

      Lioma, Christina, Larsen, B. & Ingwersen, P., 2019, I: Data and Information Management. 2, 1, s. 1-14

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    6. Udgivet

      Contextual compositionality detection with external knowledge bases and word embeddings

      Wang, D., Li, Q., Lima, L. C., Simonsen, Jakob Grue & Lioma, Christina, 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, s. 317-323 7 s.

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

    7. 2020
    8. Udgivet

      A Diagnostic Study of Explainability Techniques for Text Classification

      Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, s. 3256-3274

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

    9. Udgivet

      Generating Fact Checking Explanations

      Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, : Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, s. 7352-7364

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

    10. 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

    11. Udgivet

      Content-aware Neural Hashing for Cold-start Recommendation

      Hansen, C., Hansan, C., Simonsen, Jakob Grue, Alstrup, Stephen & Lioma, Christina, 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 971-980 10 s.

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

    12. Udgivet

      Fact Check-Worthiness Detection with Contrastive Ranking

      Hansen, C., Hansen, C., Simonsen, Jakob Grue & Lioma, Christina, 2020, Experimental IR Meets Multilinguality, Multimodality, and Interaction - 11th International Conference of the CLEF Association, CLEF 2020, Proceedings. Arampatzis, A., Kanoulas, E., Tsikrika, T., Vrochidis, S., Joho, H., Lioma, C., Eickhoff, C., Névéol, A., Névéol, A., Cappellato, L. & Ferro, N. (red.). Springer, s. 124-130 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12260 LNCS).

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

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