Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain. - Matthew C. Dirks; Andrew Csinger; Andrew Bamber; David Poole 001 (Canadian AI, 2016)

Comparing Aggregators for Relational Probabilistic Models. - Seyed Mehran Kazemi; Bahare Fatemi; Alexandra Kim; Zilun Peng; Moumita Roy Tora; Xing Zeng; Matthew C. Dirks; David Poole 001 (CoRR, 2017)

Learning with Prior Domain Knowledge and Insufficient Annotated Data. - Matthew C. Dirks (Canadian AI, 2018)

Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves. - Matthew C. Dirks; David Poole 001 (CoRR, 2020)

Automatic Neural Network Hyperparameter Optimization for Extrapolation: Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit. - Matthew C. Dirks; David L. Poole (CoRR, 2022)