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pro vyhledávání: '"Weng, Nina"'
Machine learning models have achieved high overall accuracy in medical image analysis. However, performance disparities on specific patient groups pose challenges to their clinical utility, safety, and fairness. This can affect known patient groups -
Externí odkaz:
http://arxiv.org/abs/2406.12142
Autor:
Pegios, Paraskevas, Lin, Manxi, Weng, Nina, Svendsen, Morten Bo Søndergaard, Bashir, Zahra, Bigdeli, Siavash, Christensen, Anders Nymark, Tolsgaard, Martin, Feragen, Aasa
Obstetric ultrasound image quality is crucial for accurate diagnosis and monitoring of fetal health. However, producing high-quality standard planes is difficult, influenced by the sonographer's expertise and factors like the maternal BMI or the fetu
Externí odkaz:
http://arxiv.org/abs/2403.08700
Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria
Generative AI, such as large language models, has undergone rapid development within recent years. As these models become increasingly available to the public, concerns arise about perpetuating and amplifying harmful biases in applications. Gender st
Externí odkaz:
http://arxiv.org/abs/2403.08564
Autor:
Lin, Manxi, Weng, Nina, Mikolaj, Kamil, Bashir, Zahra, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin, Christensen, Anders Nymark, Feragen, Aasa
Shortcut learning is a phenomenon where machine learning models prioritize learning simple, potentially misleading cues from data that do not generalize well beyond the training set. While existing research primarily investigates this in the realm of
Externí odkaz:
http://arxiv.org/abs/2403.06748
Shortcut learning is when a model -- e.g. a cardiac disease classifier -- exploits correlations between the target label and a spurious shortcut feature, e.g. a pacemaker, to predict the target label based on the shortcut rather than real discriminat
Externí odkaz:
http://arxiv.org/abs/2312.14223
Autor:
Weng, Nina, Plomecka, Martyna, Kaufmann, Manuel, Kastrati, Ard, Wattenhofer, Roger, Langer, Nicolas
Eye movements can reveal valuable insights into various aspects of human mental processes, physical well-being, and actions. Recently, several datasets have been made available that simultaneously record EEG activity and eye movements. This has trigg
Externí odkaz:
http://arxiv.org/abs/2308.05768
While many studies have assessed the fairness of AI algorithms in the medical field, the causes of differences in prediction performance are often unknown. This lack of knowledge about the causes of bias hampers the efficacy of bias mitigation, as ev
Externí odkaz:
http://arxiv.org/abs/2308.05129
Dance challenges are going viral in video communities like TikTok nowadays. Once a challenge becomes popular, thousands of short-form videos will be uploaded in merely a couple of days. Therefore, virality prediction from dance challenges is of great
Externí odkaz:
http://arxiv.org/abs/2111.03819
Akademický článek
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Autor:
Barradas, Isabel, Kloc, Agnieszka, Weng, Nina, Treur, Jan, Klimov, Valentin V., Kelley, David J.
Publikováno v:
Biologically Inspired Cognitive Architectures 2021: Proceedings of the 12th Annual Meeting of the BICA Society, 42-53
STARTPAGE=42;ENDPAGE=53;TITLE=Biologically Inspired Cognitive Architectures 2021
Studies in Computational Intelligence ISBN: 9783030969929
Barradas, I, Kloc, A, Weng, N & Treur, J 2022, A Second-Order Adaptive Network Model for Exam-Related Anxiety Regulation . in V V Klimov & D J Kelley (eds), Biologically Inspired Cognitive Architectures 2021 : Proceedings of the 12th Annual Meeting of the BICA Society . Studies in Computational Intelligence, vol. 1032 SCI, Springer Science and Business Media Deutschland GmbH, Cham, pp. 42-53, 12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021, Virtual, Online, 12/09/21 . https://doi.org/10.1007/978-3-030-96993-6_4
STARTPAGE=42;ENDPAGE=53;TITLE=Biologically Inspired Cognitive Architectures 2021
Studies in Computational Intelligence ISBN: 9783030969929
Barradas, I, Kloc, A, Weng, N & Treur, J 2022, A Second-Order Adaptive Network Model for Exam-Related Anxiety Regulation . in V V Klimov & D J Kelley (eds), Biologically Inspired Cognitive Architectures 2021 : Proceedings of the 12th Annual Meeting of the BICA Society . Studies in Computational Intelligence, vol. 1032 SCI, Springer Science and Business Media Deutschland GmbH, Cham, pp. 42-53, 12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021, Virtual, Online, 12/09/21 . https://doi.org/10.1007/978-3-030-96993-6_4
A common type of performance anxiety is the so-called “exam anxiety”, in which students can experience physical and emotional reactions before or during the exam due to the testing situation. If exam anxiety was already quite prevalent in student
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7253449180ceaaed52c912c5ae3a438b
https://research.vu.nl/en/publications/3e233589-3acc-41e9-97c7-9cae8f469fdd
https://research.vu.nl/en/publications/3e233589-3acc-41e9-97c7-9cae8f469fdd