Ingemar Johansson Cox

Ingemar Johansson Cox

Professor

ORCID: 0000-0002-6662-417X

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  1. Retrieval of Highly Dynamic Information in an Unstructured Peer-to-Peer Network

    Asthana, H. & Cox, Ingemar Johansson, 2012, LSDS-IR 2013.

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

  2. Udgivet

    E-NER - An Annotated Named Entity Recognition Corpus of Legal Text

    Au, T. W. T., Lampos, V. & Cox, Ingemar Johansson, 2022, NLLP 2022 - Natural Legal Language Processing Workshop 2022, Proceedings of the Workshop. Association for Computational Linguistics (ACL), s. 246-255 10 s.

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

  3. Udgivet

    An improved multileaving algorithm for online ranker evaluation

    Brost, B., Cox, Ingemar Johansson, Seldin, Yevgeny & Lioma, Christina, 2016, Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval: SIGIR '16. Association for Computing Machinery, s. 745-748 4 s.

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

  4. 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

  5. Applying Informed Coding and Embedding to Design a Robust, High Capacity Watermark

    Cox, Ingemar Johansson, Doerr, G. J. & Miller, M., 2006.

    Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

  6. Udgivet

    A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model

    Czolbe, Steffen, Krause, Oswin, Cox, Ingemar Johansson & Igel, Christian, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtua. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Bind 33).

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

  7. 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

  8. 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

  9. Udgivet

    Predicting Antimicrobial Drug Consumption Using Web Search Data

    Hansen, N. D., Mølbak, Kåre, Cox, Ingemar Johansson & Lioma, Christina, 2018, Proceedings of the 2018 International Conference on Digital Health. Association for Computing Machinery, s. 133-142 10 s.

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

  10. Udgivet

    Inferring the socioeconomic status of social media users based on behaviour and language

    Lampos, V., Aletras, N., Geyti, J. K., Zou, B. & Cox, Ingemar Johansson, 2016, Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings. Ferro, N., Crestani, F., Moens, M-F., Mothe, J., Silvestri, F., Di Nunzio, G. M., Hauff, C. & Silvello, G. (red.). Springer, s. 689-695 7 s. (Lecture notes in computer science, Bind 9626).

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

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