Christina Lioma

Christina Lioma

Professor

Member of:


    1. Published

      Rare disease diagnosis as an information retrieval task

      Dragusin, R., Petcu, P., Lioma, Christina, Larsen, B., Jørgensen, H. & Winther, O., 2011, Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. Amati, G. & Crestani, F. (eds.). Springer, p. 356-359 4 p. (Lecture notes in computer science, Vol. 6931).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    2. Published

      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, In: JMIR Public Health and Surveillance. 5, 1, p. 209-220 e9544.

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. Published

      Report on TBAS 2012: workshop on task-based and aggregated search

      Larsen, B., Lioma, Christina & de Vries, A., 2012, In: S I G I R Forum. 46, 1, p. 71-77 7 p.

      Research output: Contribution to journalComment/debateResearch

    4. Research Directions in Terrier: a Search Engine for Advanced Retrieval on the Web

      Ounis, I., Lioma, Christina, Macdonald, C. & Plachouras, V., 2007, In: Novatica. VIII, 1, p. 49-56

      Research output: Contribution to journalJournal articleResearchpeer-review

    5. Published

      Rhetorical relations for information retrieval

      Lioma, Christina, Larsen, B. & Lu, W., 2012, Proceedings of the 35th international ACM SIGIR conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 931-940 10 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    6. Published

      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, p. 1197-1200

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    7. Sense Discrimination for Physics Retrieval

      Lioma, Christina, Kothari, A. & Schuetze, H., 2011, SIGIR’11: July 24–28, 2011, Beijing, China. Association for Computing Machinery, p. 1101 - 1102

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    8. Published

      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. (eds.). International Educational Data Mining Society (IEDMS), p. 232-237 (Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25 – 28, 2017).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    9. Published

      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, p. 2095-2098 4 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    10. Published

      Specialised tools are needed when searching the web for rare disease diagnoses

      Dragusin, R., Petcu, P., Lioma, Christina, Larsen, B., Jørgensen, H. L., Cox, I., Hansen, L. K., Ingwersen, P. & Winther, O., 2013, In: Rare Diseases. 1, 1, 4 p., e25001.

      Research output: Contribution to journalJournal articleResearchpeer-review

    ID: 37889644