Projects per year
Personal profile
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):
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
Projects
- 1 Active
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Jointly Optimized Allocation of Functionality in Systems of Systems
Scharnowski, F., Steyrl, D. & Melinšcak, F.
1/11/21 → 31/10/24
Project: Research cooperation
Publications
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Cross-Cultural Comparison of Beauty Judgments in Visual Art Using Machine Learning Analysis of Art Attribute Predictors Among Japanese and German Speakers
Mikuni, J., Spee, B. T. M., Forlani, G., Leder, H., Scharnowski, F., Nakamura, K., Watanabe, K., Kawabata, H., Pelowski, M. & Steyrl, D., 10 Jul 2024, In: Scientific Reports. 14, 1, 14 p., 15948.Publications: Contribution to journal › Article › Peer Reviewed
Open Access -
Exposure to minority stress and structural stigma predict well-being in LGBTQ+ parents across 19 European countries: An intersectional, machine learning-based approach
Siegel, M., Steyrl, D., Goldberg, A. E., Nicholson, A. & Zemp, M., 12 Apr 2024.Publications: Working paper › Preprint
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Introduction of Solid Foods in Preterm Infants and Its Impact on Growth in the First Year of Life-A Prospective Observational Study
Thanhaeuser, M., Gsoellpointner, M., Kornsteiner-Krenn, M., Steyrl, D., Brandstetter, S., Jilma, B., Berger, A. & Haiden, N., 28 Jun 2024, In: Nutrients. 16, 13Publications: Contribution to journal › Article › Peer Reviewed
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Interpretable machine learning for hypothesis
David Steyrl (Speaker), Alexander Karner (Speaker), Blanca Thea Maria Spee (Speaker) & Frank Scharnowski (Speaker)
16 Sep 2024 → 24 Sep 2024Activity: Talks and presentations › Talk or oral contribution › Science to Science
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Enhancing Hypothesis Testing via Interpretable Machine Learning Frameworks
David Steyrl (Speaker), Alexander Karner (Speaker), Blanca Thea Maria Spee (Speaker) & Frank Scharnowski (Speaker)
25 Jun 2024 → 29 Jun 2024Activity: Talks and presentations › Poster presentation › Science to Science
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Die Modellierung von Intersektionalität in LGBTQ-Paaren und -Familien mittels Machine Learning-basierten Ansätzen: Evidenz aus 28 europäischen Ländern
Magdalena Siegel (Speaker), David Steyrl (Contributor), Abbie E. Goldberg (Contributor), Andrew Nicholson (Contributor), Niki Hosseini-Kamkar (Contributor) & Martina Zemp (Contributor)
15 Jun 2024Activity: Talks and presentations › Talk or oral contribution › Science to Science