Lincen Yang
Postdoc
- Name
- Dr. L. Yang
- Telephone
- 071 5277050
- l.yang@liacs.leidenuniv.nl
- ORCID iD
- 0000-0003-1936-2784
Lincen Yang is a postdoctoral researcher in the Data Science group within LIACS.
Supervisors
Postdoc
- Faculty of Science
- LIACS
- LIACS Research
- Yang L., Meijden S.L. van der, Arbous S.M. & Leeuwen M. van (2025), Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules, Journal of the American Medical Informatics Association : ocaf171.
- Yang L. (20 September 2024), Information-theoretic partition-based models for interpretable machine learning (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University) SIKS Dissertation Series no. 2024-27. Supervisor(s): Leeuwen M. van & Plaat A.
- Yang L. & van Leeuwen M. (2024), Conditional density estimation with histogram trees. . Advances in Neural Information Processing Systems: Neural Information Processing Systems Foundation, Inc. (NeurIPS). 117315-117339.
- Yang L. & Leeuwen M. van (2023), Truly unordered probabilistic rule sets for multi-class classification. Amini M.R., Canu S., Fischer A., Guns T., Kralj N. & Tsoumaka G. (Eds.), Machine learning and knowledge discovery in databases: ECML PKDD 2022. European Conference, ECML PKDD 2022 19 September 2022 - 23 September 2022. Lecture Notes in Computer Science no. 13717. Cham: Springer. 87-103.
- Yang L., Baratchi M. & Leeuwen M. van (2023), Unsupervised discretization by two-dimensional MDL-based histogram, Machine Learning 112: 2397-2431.
- Marx A., Yang L. & Leeuwen M. van (2021), Estimating conditional mutual information for discrete-continuous mixtures using multi-dimensional adaptive histograms. Demeniconi C. & Davidson I. (Eds.), Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). 2021 SIAM International Conference on Data Mining (SDM) 29 April 2021 - 1 May 2021: SIAM. 387-395.