Research output per year
Research output per year
Organisation profile
Organisation profile
PURRLab research interests lie within the broad area of trustworthy machine learning and its applications to medical imaging with a focus on datasets. We are particularly interested in understanding the similarity and diversity of datasets, methods for learning with limited labeled data such as transfer learning, and meta-research on machine learning in medical imaging.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Louise Meier Carlsen
- Software Engineering - Assistant Professor
- Pattern Recognition Revisited lab
- Center for Computing Education Research
- BSc in Software Development - Co-Head of Study Programme
Person: VIP
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Veronika Cheplygina
- Data, Systems, and Robotics - Associate Professor
- Data-intensive Systems and Applications
- Pattern Recognition Revisited lab - Head of Research Group
Person: VIP
Research output
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[Citation needed] Data usage and citation practices in medical imaging conferences
Sourget, T., Akkoç, A., Winther, S., Lyngbye Galsgaard, C., Jiménez Sánchez, A., Juodelyte, D., Petitjean, C. & Cheplygina, V., 2024, Medical Imaging with Deep Learning (MIDL). p. 1-22Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open Access -
Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models
Campanella, C. & van der Goot, R., 1 Mar 2024, Proceedings of the First Workshop on Natural Language Processing for Human Resources (NLP4HR 2024). Hruschka, E., Lake, T., Otani, N. & Mitchell, T. (eds.). St. Julian's, Malta: Association for Computational Linguistics, p. 73-77 5 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open Access -
Can Humans Identify Domains?
Barrett, M. J., Müller-Eberstein, M., Bassignana, E., Pauli, A. B., Zhang, M. & van der Goot, R., 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). European Language Resources AssociationResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open Access
Activities
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Assessment committee for recruitment of assistant/associate professor in Data-Intensive Systems and Applications (Event)
Cheplygina, V. (Chair), Boehm, M. (Member) & Leis, V. (Member)
22 Aug 2023 → 31 Dec 2023Activity: Membership types › Membership in review committee
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Eurodoc (External organisation)
Weihl, L. (Chair)
Sept 2023 → …Activity: Membership types › Membership in committee, council, board
Press/Media
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Medicinsk AI prætrænes på kattebilleder: Vi overvejer sjældent, hvad konsekvenserne er
18/01/2022
1 Media contribution
Press/Media: Press / Media
Projects
- 2 Active
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CATS : Choosing a Transfer Source for Medical Image Classification
Cheplygina, V. (PI), Juodelyte, D. (CoI) & Lu, Y. (CoI)
01/10/2021 → 30/09/2025
Project: Research
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MMC: Making Metadata Count
Cheplygina, V. (PI), Jiménez Sánchez, A. (CoI) & Sourget, T. (CoI)
Independent Research Fund Denmark
01/10/2022 → 30/09/2025
Project: Research