Chain Graph Interpretations and Their Relations. - Dag Sonntag; José M. Peña 001 (ECSQARU, 2013)

An inclusion optimal algorithm for chain graph structure learning. - José M. Peña 001; Dag Sonntag; Jens Dalgaard Nielsen (AISTATS, 2014)

On Expressiveness of the AMP Chain Graph Interpretation. - Dag Sonntag (Probabilistic Graphical Models, 2014)

Chain Graphs and Gene Networks. - Dag Sonntag; José M. Peña 001 (Foundations of Biomedical Knowledge Representation, 2015)

Learning Optimal Chain Graphs with Answer Set Programming. - Dag Sonntag; Matti Järvisalo; José M. Peña 001; Antti Hyttinen (UAI, 2015)

Chain graph interpretations and their relations revisited. - Dag Sonntag; José M. Peña 001 (Int. J. Approx. Reason., 2015)

Approximate Counting of Graphical Models via MCMC Revisited. - Dag Sonntag; José M. Peña 001; Manuel Gómez-Olmedo (Int. J. Intell. Syst., 2015)

On expressiveness of the chain graph interpretations. - Dag Sonntag; José M. Peña 001 (Int. J. Approx. Reason., 2016)

Chain Graphs : Interpretations, Expressiveness and Learning Algorithms. - Dag Sonntag (2016)

Towards Big Data Visualization for Monitoring and Diagnostics of High Volume Semiconductor Manufacturing. - Dimitra Gkorou; Alexander Ypma; George Tsirogiannis; Manuel Giollo; Dag Sonntag; Geert Vinken; Richard van Haren; Robert Jan van Wijk; Jelle Nije; Tom Hoogenboom (Conf. Computing Frontiers, 2017)