Line Katrine Harder Clemmensen

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Line Katrine Harder Clemmensen

 https://orcid.org/0000-0001-5527-5798

  • Richard Petersens Plads, 321, 134

    2800 Kgs. Lyngby

    Denmark

Personal profile

Profile

 

In my research, collaborations, and consultancy work I put my mind to obtaining feasible solutions to data problems. Interpretation and model generalization are at my heart. I like to contribute with models which can predict and explain issues of importance to our society, that being environmental, biological, industrial, or financial.

Research interests: Macine learning, statistical modelling, deep learning, sparse methods.

Other information

Studied telecommunications one semester at Universidad Politecnica de Catalunya in Barcelona, Spain

Language Skills:
Danish
English
Spanish
French
Portuguese

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 5 - Gender Equality

Education/Academic qualification

Ph. D., IMM

1 Apr 2006 → 31 Mar 2009

External positions

Principal Data Scientist, Maersk Group

1 Aug 2016 → 31 Jul 2017

Keywords

  • User defined:
  • Deep learning
  • Sparse methods
  • Statistical modelling
  • Machine learning

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Collaborations and top research areas from the last five years

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  • A genome-wide association study of social trust in 33,882 Danish blood donors

    Sequeros, C. B., Hansen, T. F., Westergaard, D., Louloudis, I., Kalamajski, S., Röder, T., Rohde, P. D., Schwinn, M., Clemmensen, L. H., Didriksen, M., Nyegaard, M., Hjalgrim, H., Nielsen, K. R., Bruun, M. T., Ostrowski, S. R., Erikstrup, C., Mikkelsen, S., Sørensen, E., Banasik, K. & Bay, J. & 47 others, Boldsen, J. K., Brodersen, T., Brunak, S., Burgdorf, K., Chalmer, M. A., Didriksen, M., Dinh, K. M., Dowsett, J., Erikstrup, C., Feenstra, B., Geller, F., Gudbjartsson, D., Hansen, T. F., Hindhede, L., Hjalgrim, H., Jacobsen, R. L., Jemec, G., Jensen, B. A., Kaspersen, K., Kjerulff, B. D., Kogelman, L., Larsen, M. A. H., Louloudis, I., Lundgaard, A., Mikkelsen, S., Mikkelsen, C., Nissen, I., Nyegaard, M., Ostrowski, S. R., Pedersen, O. B. V., Pil Henriksen, A., Rohde, P. D., Rostgaard, K., Schwinn, M., Stefansson, K., Stefánsson, H., Sørensen, E., Thorsteinsdóttir, U., Thørner, L. W., Topholm Bruun, M., Ullum, H., Werge, T., Westergaard, D., Pedersen, O. B. V., Brunak, S., Banasik, K. & Giordano, G. N., Dec 2024, In: Scientific Reports. 14, 1, 12 p., 1402.

    Research output: Contribution to journal › Journal article › Research › peer-review

    Open Access
    File
    91 Downloads (Pure)

  • A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection

    Basterrech, S., Clemmensen, L. & Rubino, G., 2024, Proceedings of the 2024 IEEE International Joint Conference of Neural Networks. IEEE, 9 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    Open Access
    File
    40 Downloads (Pure)

  • Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition

    Fromberg, L., Nielsen, T., Frumosu, F. D. & Clemmensen, L. K. H., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL). Proceedings of Machine Learning Research, Vol. 233. p. 67-74

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    Open Access
    File
    92 Downloads (Pure)

  • Brain stimulation with 40 Hz heterochromatic flicker extended beyond red, green, and blue

    Henney, M. A., Carstensen, M., Thorning-Schmidt, M., Kubińska, M., Grønberg, M. G., Nguyen, M., Madsen, K. H., Clemmensen, L. K. H. & Petersen, P. M., Dec 2024, In: Scientific Reports. 14, 1, 11 p., 2147.

    Research output: Contribution to journal › Journal article › Research › peer-review

    Open Access
    File
    69 Downloads (Pure)

  • Data Augmentations and Transfer Learning For Physiological Time Series

    Skat-Rørdam, H. V., Knudsen, M. H., Knudsen, S. N., Das, S. & Clemmensen, L., 2024, Proceedings of the ICLR 2024 Workshop on Learning from Time Series For Health (TS4H). 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    Open Access
    File
    31 Downloads (Pure)
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  • 2 Conference presentations
  • 1 Examination
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