Sharing pattern submodels for prediction with missing values. - Lena Stempfle; Fredrik D. Johansson (CoRR, 2022)

Sharing Pattern Submodels for Prediction with Missing Values. - Lena Stempfle; Ashkan Panahi; Fredrik D. Johansson (AAAI, 2023)

MINTY: Rule-based models that minimize the need for imputing features with missing values. - Lena Stempfle; Fredrik D. Johansson (AISTATS, 2024)

How Should We Represent History in Interpretable Models of Clinical Policies? - Anton Matsson; Lena Stempfle; Yaochen Rao; Zachary R. Margolin; Heather J. Litman; Fredrik D. Johansson (ML4H@NeurIPS, 2024)

Expert Study on Interpretable Machine Learning Models with Missing Data. - Lena Stempfle; Arthur James; Julie Josse; Tobias Gauss; Fredrik D. Johansson (CoRR, 2024)

Prediction Models That Learn to Avoid Missing Values. - Lena Stempfle; Anton Matsson; Newton Mwai Kinyanjui; Fredrik D. Johansson (CoRR, 2025)