Publications

Anton Matsson (2025). Interpretable Machine Learning for Modeling, Evaluating, and Refining Clinical Decision-Making. Doctoral dissertation.

Anton Matsson, Yaochen Rao, Heather J. Litman, Fredrik D. Johansson (2025). Pragmatic Policy Development via Interpretable Behavior Cloning. arXiv preprint.

Lena Stempfle, Anton Matsson, Newton Mwai, Fredrik D. Johansson (2025). Prediction Models That Learn to Avoid Missing Values. To appear in Proceedings of the 42nd International Conference on Machine Learning.

Anton Matsson, Lena Stempfle, Yaochen Rao, Zachary R. Margolin, Heather J. Litman, Fredrik D. Johansson (2024). How Should We Represent History in Interpretable Models of Clinical Policies?. In Proceedings of the 4th Machine Learning for Health Symposium.

Adam Breitholtz, Anton Matsson, Fredrik D. Johansson (2024). Unsupervised Domain Adaptation by Learning Using Privileged Information. Transactions on Machine Learning Research.

Anton Matsson, Daniel H. Solomon, Margaux M. Crabtree, Ryan W. Harrison, Heather J. Litman, Fredrik D. Johansson (2023). Patterns in the Sequential Treatment of Patients With Rheumatoid Arthritis Starting a Biologic or Targeted Synthetic Disease-Modifying Antirheumatic Drug: 10-Year Experience From a US-Based Registry. ACR Open Rheumatology.

Anton Matsson, Fredrik D. Johansson (2022). Case-Based Off-Policy Evaluation Using Prototype Learning. In Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence.