2022
Walther, F., Heinrich, L., Schmitt, J., Eberlein-Gonska, M., & Roessler, M. (2022). Prediction of inpatient pressure ulcers based on routine healthcare data using machine learning methodology. Scientific Reports, 12, 5044.
2025
Huo, Z., Booth, J., Monks, T., Knight, P., Watson, L., Peters, M., Pagel, C., Ramnarayan, P., & Li, K. (2025). Dynamic mortality prediction in critically ill children during interhospital transports to PICUs using explainable AI. npj Digital Medicine, 8, 108.
2024
Antunes, L. M., Butler, K. T., & Grau-Crespo, R. (2024). Crystal structure generation with autoregressive large language modeling. Nature Communications, 15, 10570.
2026
Li, J., Zheng, H., Zhou, Y., & Jiang, F. (2026). A bimodal dataset for diabetes research. Scientific Data, 13, 652.
2024
Sakel, S., & Mayer, S. (2024). Exploring Opportunities for Data-Driven Wellbeing Support through Positive Reinforcements. In Proceedings of the Designing (with) AI for Wellbeing Workshop at CHI.
2025
Zhao, X., Yu, F., Zhang, X., Chen, J., & Li, P. (2025). Assessing urban renewal efficiency via multi-source data and DID-based comparison between historical districts. Npj Heritage Science, 13(1), 389.
2022
Chen, J., Wang, J., Peng, T., Sun, Y., Cheng, P., Ji, S., … & Song, D. (2022). Copy, right? A testing framework for copyright protection of deep learning models. In: 2022 IEEE Symposium on Security and Privacy (SP) (pp. 824-841). San Francisco: IEEE Security and Privacy.
2019
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42.
2003
Doan, A., Madhavan, J., Dhamankar, R., Domingos, P., & Halevy, A. (2003). Learning to match ontologies on the semantic web. The VLDB journal, 12, 303-319.