Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. - Maximilian Kertel; Stefan Harmeling; Markus Pauly (AI4I, 2022)

Estimating Gaussian Copulas with Missing Data. - Maximilian Kertel; Markus Pauly (CoRR, 2022)

Estimating Gaussian Copulas with Missing Data with and without Expert Knowledge. - Maximilian Kertel; Markus Pauly (Entropy, 2022)

Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs. - Christoph Wehner; Maximilian Kertel; Judith Wewerka (VTC2023-Spring, 2023)

Learning Causal Graphs in Manufacturing Domains Using Structural Equation Models. - Maximilian Kertel; Stefan Harmeling; Markus Pauly; Nadja Klein (Int. J. Semantic Comput., 2023)

Boosting Causal Additive Models. - Maximilian Kertel; Nadja Klein (CoRR, 2024)