Scholar

Daniel L. Oberski

Google Scholar ID: KH_cqmwAAAAJ

Utrecht University, The Netherlands

Latent variable modelingstructural equation modelingmeasurement errormodel-based clusteringhigh-dimensional data

Citations & Impact

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Citations

5,898

H-index

i10-index

Publications

Co-authors

list available

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

1. Burying The Lead: Adjusting Goals to Manage Functional Limitations of AI Tools in Healthcare (2025)
2. Algorithmic Fairness in Clinical Natural Language Processing: Challenges and Opportunities (2025)
3. Keeping pace in the age of innovation: The perspective of Dutch pharmaceutical science students on the position of machine learning training in an undergraduate curriculum (2025)
4. PATCH! Psychometrics-Assisted Benchmarking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics (2025)
5. The effect of measurement error on clustering (2025)
6. General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study (2024)
7. Clinical Use-Cases and Implementation Guidelines for the Development of Valuable AI (2024)
8. A systematic literature review of time series methods applied to epidemic prediction (2024)
9. The Amsterdam Paper: Recommendations for the technical finalisation of the regulation of GPAI in the AI Act – AI, Media & Democracy Lab (2024)
10. Methodology for Biomarker Discovery with Reproducibility in Microbiome Data using Machine Learning (2024)
11. Understanding financial distress by using Markov random fields on linked administrative data (2023)

Background

Co-authors

55 total