Christina Lioma

Christina Lioma

Professor


  1. 2021
  2. Udgivet

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, Tonny Studsgaard, Hansen, C., Hansen, C., Lioma, Christina, Igel, Christian, Boomsma, Wouter, Krause, Oswin, Lorenzen, S., Selvan, Raghav, Petersen, Janne, Nyeland, M. E., Ankarfeldt, Mikkel Zöllner, Virenfeldt, G. M., Winther-Jensen, M., Linneberg, Allan René, Mehdipour Ghazi, Mostafa, Detlefsen, N., Lauritzen, Andreas, Smith, Abraham George, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, I: Scientific Reports. 11, 1, 12 s., 3246.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  3. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. Udgivet

    On Position Embeddings in BERT

    Wang, B., Shan, L., Lioma, Christina, Jiang, X., Yang, H., Liu, Q. & Simonsen, Jakob Grue, 2021, s. 1-21.

    Publikation: KonferencebidragPaperForskning

  5. Udgivet

    Principled Multi-Aspect Evaluation Measures of Rankings

    Maistro, Maria, Lima, L. C., Simonsen, Jakob Grue & Lioma, Christina, 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc, s. 1232-1242

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Projected hamming dissimilarity for bit-level importance coding in collaborative filtering

    Hansen, C., Hansen, C., Simonsen, Jakob Grue & Lioma, Christina, 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, s. 261-269

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    Quantum-inspired multimodal fusion for video sentiment analysis

    Li, Qiuchi, Gkoumas, D., Lioma, Christina & Melucci, M., 2021, I: Information Fusion. 65, s. 58-71

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  8. Udgivet

    Unsupervised multi-index semantic hashing

    Hansen, C., Hansen, C., Simonsen, Jakob Grue, Alstrup, Stephen & Lioma, Christina, 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, s. 2879-2889 (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Udgivet

    What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis

    Gkoumas, D., Li, Qiuchi, Lioma, Christina, Yu, Y. & Song, D., 2021, I: Information Fusion. 66, s. 184-197

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

ID: 37889644