Christina Lioma

Christina Lioma

Professor

Medlem af:

    ORCID: 0000-0003-2600-2701

    Udgivelsesår:
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    1. 2016
    2. Udgivet

      A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval?

      Lioma, Christina, Larsen, B., Lu, W. & Huang, Y., 2016, Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. Association for Computing Machinery, s. 107-117 11 s.

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

    3. Udgivet

      Deep learning relevance: creating relevant information (as opposed to retrieving it)

      Lioma, Christina, Larsen, B., Petersen, C. & Simonsen, Jakob Grue, 2016. 6 s.

      Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

    4. Udgivet

      Exploiting the bipartite structure of entity grids for document coherence and retrieval

      Lioma, Christina, Tarissan, F., Simonsen, Jakob Grue, Petersen, C. & Larsen, B., 2016, Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval. Association for Computing Machinery, s. 11-20 10 s.

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

    5. Udgivet

      Adaptive distributional extensions to DFR ranking

      Petersen, C., Simonsen, Jakob Grue, Järvelin, K. & Lioma, Christina, 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2005-2008 4 s.

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

    6. Udgivet

      Power law distributions in information retrieval

      Petersen, C., Simonsen, Jakob Grue & Lioma, Christina, 2016, I: A C M Transactions on Information Systems. 34, 2, 37 s., 8.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    7. 2017
    8. Udgivet

      Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries

      Dalum Hansen, N., Mølbak, Kåre, Cox, Ingemar Johansson & Lioma, Christina, 2017, Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee, s. 773-774

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

    9. Udgivet

      Smart city analytics: ensemble-learned prediction of citizen home care

      Hansen, C., Hansen, C., Alstrup, Stephen & Lioma, Christina, 2017, Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2095-2098 4 s.

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

    10. Udgivet

      Sequence Modeling for Analysing Student Interaction with Educational Systems

      Hansen, C., Hansen, C., Hjuler, N. O. D., Alstrup, Stephen & Lioma, Christina, 25 jun. 2017, Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. Hu, X., Barnes, T., Hershkovitz, A. & Paquette, L. (red.). International Educational Data Mining Society (IEDMS), s. 232-237 (Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25 – 28, 2017).

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

    11. Udgivet

      Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation

      Hansen, N. D., Mølbak, K., Cox, Ingemar Johansson & Lioma, Christina, 2017, SIGIR '17 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 1197-1200

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

    12. Udgivet

      A study of metrics of distance and correlation between ranked lists for compositionality detection

      Lioma, Christina & Hansen, N. D., aug. 2017, I: Cognitive Systems Research. 44, s. 40-49 10 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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    ID: 37889644