Oswin Krause

Oswin Krause

Assistant Professor, Tenure Track Assistant Professor

Member of:

    ORCID: 0000-0002-0990-559X

    Publication year:
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    11 - 20 out of 33Page size: 10
    1. 2022
    2. Published

      Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis

      Lu, J., Yin, C., Krause, Oswin, Erleben, Kenny, Nielsen, Michael Bachmann & Darkner, Sune, 2022, Interpretability of Machine Intelligence in Medical Image Computing. Reyes, M., Abreu, PH. & Cardoso, J. (eds.). Springer, p. 33-43 (Lecture Notes in Computer Science, Vol. 13611).

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

    3. 2021
    4. Published

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

      Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, 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, In: Scientific Reports. 11, 1, 12 p., 3246.

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

    5. Published

      Is Segmentation Uncertainty Useful?

      Czolbe, Steffen, Arnavaz, Kasra, Krause, Oswin & Feragen, A., 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (eds.). Springer, p. 715-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12729 LNCS).

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

    6. 2020
    7. Published

      Algorithms for estimating the partition function of restricted Boltzmann machines

      Krause, Oswin, Fischer, A. & Igel, Christian, Jan 2020, In: Artificial Intelligence. 278, 19 p., 103195.

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

    8. Published

      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, Vol. 33).

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

    9. Published

      Algorithms for estimating the partition function of restricted Boltzmann machines: (Extended Abstract)

      Krause, Oswin, Fischer, A. & Igel, Christian, 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 5045-5049 5 p. (IJCAI International Joint Conference on Artificial Intelligence, Vol. 2021-January).

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

    10. Published

      Bayesian active learning for maximal information gain on model parameters

      Arnavaz, Kasra, Feragen, A., Krause, Oswin & Loog, M., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. IEEE, p. 10524-10531 8 p. 9411962

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

    11. Published

      The hessian estimation evolution strategy

      Glasmachers, T. & Krause, Oswin, 2020, Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020, Proceedings. Bäck, T., Preuss, M., Deutz, A., Emmerich, M., Wang, H., Doerr, C. & Trautmann, H. (eds.). Springer, p. 597-609 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12269 LNCS).

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

    12. 2019
    13. Published

      Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study

      Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, Casper, Strycko, F., Moll, J., Andersen, Tariq Osman, Høgh Petersen, H., Svendsen, Jesper Hastrup & Igel, Christian, 2019, In: PLoS ONE. 14, 8, e0219533.

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

    14. Published

      Large-scale noise-resilient evolution-strategies

      Krause, Oswin, 2019, GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 682-690 9 p.

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

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