Research output per year
Research output per year
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Dive into the research topics where Mikkel Jordahn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Calibrated Machine Learning Models: How To Get Them and Why They Matter
Jordahn, M., 2024, Technical University of Denmark. 180 p.Research output: Book/Report › Ph.D. thesis
Open AccessFile31 Downloads (Orbit) -
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Jordahn, M. & Olmos, P. M., 2024, Proceedings of the 41st International Conference on Machine Learning, ICML'24. Proceedings of Machine Learning Research, Vol. 235. p. 22530-22550Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile4 Downloads (Orbit) -
Neural machine translation for automated feedback on children’s early-stage writing
Jensen, J. V., Jordahn, M. & Andersen, M. R., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference. Proceedings of Machine Learning Research, Vol. 233. p. 104-112Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile42 Downloads (Orbit) -
On the role of Model Uncertainties in Bayesian Optimization
Foldager, J., Jordahn, M., Hansen, L. K. & Andersen, M. R., 2023, Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023) . Vol. 216. p. 592–601Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile87 Downloads (Orbit)
Projects
- 1 Finished
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Counterfactual Techniques in Healthcare
Jordahn, M. (PhD Student), Andersen, M. R. (Main Supervisor), Hansen, L. K. (Supervisor), Fortuin, V. (Examiner) & Solin, A. H. (Examiner)
01/09/2021 → 11/03/2025
Project: PhD