Key publications

This page contains a list with links to some of our key publications. Many of these are also linked in their respective project pages, but they are highlighted again here due to the central role they play in our AI-lab. 

Highlighted:

• van de Schoot, R., de Bruin, J., Schram, R. et al. An open source machine learning framework for efficient and transparent systematic reviews. Nat Mach Intell 3, 125–133 (2021). https://doi.org/10.1038/s42256-020-00287-7
• de Bruin, Jonathan and Lombaers, Peter and Kaandorp, Casper and Teijema, Jelle Jasper and van der Kuil, Timo and Yazan, Berke and Dong, Angie and van de Schoot, Rens. ASReview LAB v2: Open-Source Text Screening with Multiple Agents and Oracles. Available at SSRN: https://ssrn.com/abstract=5136987 or http://dx.doi.org/10.2139/ssrn.5136987
• Lombaers, P., de Bruin, J., & van de Schoot, R. (2024). Reproducibility and Data Storage for Active Learning-Aided Systematic Reviews. Applied Sciences, 14(9), 3842. https://doi.org/10.3390/app14093842
• Van de Schoot, Rens, & De Bruin, Jonathan. (2020). Researcher-in-the-loop for systematic reviewing of text databases. Presented at the SciNLP: Natural Language Processing and Data Mining for Scientific Text, Zenodo. http://doi.org/10.5281/zenodo.4013207.
• Ferdinands, G., Schram, R., De Bruin, J., Bagheri, A., Oberski, D. L., Tummers, L., & Van de Schoot, R. (2020, September 16). Active learning for screening prioritization in systematic reviews – A simulation study. https://doi.org/10.31219/osf.io/w6qbg.