ITU

Machine Learning

Organisational unit: Research Group

IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark

Contact information

Research Group Coordinator

Dan Witzner Hansen (witzner@itu.dk)

Organisation profile

The Machine Learning Research Group does research in a wide area of topics including: statistical machine learning, deep learning, natural language processing, algorithmic game theory, algorithms for big data, automated planning, robotics and image analysis.

  1. 2021
  2. Published

    PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction

    Jurewicz, M. & Derczynski, L., 1 Dec 2021, Thirty-fifth Conference on Neural Information Processing Systems: Datasets and Benchmarks Track. 2021 ed. Vol. 1.

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  3. Published

    Multilinear Modelling of Faces and Expressions

    Grasshof, S., Ackermann, H., Brandt, S. S. & Ostermann, J., 1 Oct 2021, In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 43, 10, p. 3540-3554 14 p.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  4. Published

    High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods

    Batista Narcizo, F., dos Santos, F. E. D. & Hansen, D. W., 15 Sep 2021, In: Vision. 5, 3, p. 1 27 p.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  5. Published

    Set-to-Sequence Methods in Machine Learning: A Review

    Jurewicz, M. & Derczynski, L., 12 Aug 2021, In: The Journal of Artificial Intelligence Research. 71, p. 885-924

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  6. Published

    Annotating Online Misogyny

    Zeinert, P., Inie, N. & Derczynski, L., 3 Aug 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, p. 3181–3197

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  7. Published

    Growing 3D Artefacts and Functional Machines with Neural Cellular Automata

    Sudhakaran, S., Grbic, D., Li, S., Katona, A., Najarro, E., Glanois, C. & Risi, S., 19 Jul 2021, In: Artificial Life Conference Proceedings . 2021, 9 p.

    Research output: Journal Article or Conference Article in JournalConference articleResearchpeer-review

  8. Published

    Safer Reinforcement Learning through Transferable Instinct Networks

    Grbic, D. & Risi, S., 19 Jul 2021, In: Artificial Life Conference Proceedings . 2021, 10 p.

    Research output: Journal Article or Conference Article in JournalConference articleResearchpeer-review

  9. Published

    Photoelectric sensor setup and characterization for general interface detection in laboratory scale liquid-liquid extraction processes

    Garcia, R. M., Faina, A. & Støy, K., 23 Jun 2021.

    Research output: Contribution to conference - NOT published in proceeding or journalConference abstract for conferenceResearch

  10. Published

    Abusive Language Recognition in Russian

    Saitov, K. & Derczynski, L., 20 Apr 2021, Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing. Association for Computational Linguistics, p. 20-25

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  11. Published

    An IDR Framework of Opportunities and Barriers between HCI and NLP

    Inie, N. & Derczynski, L., 20 Apr 2021, Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing: HCINLP. Association for Computational Linguistics, p. 101-108

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

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