| Automatic neural network hyperparameter optimization for extrapolation: Lessons learned from visible and near-infrared spectroscopy of mango fruit M Dirks, D Poole Chemometrics and Intelligent Laboratory Systems 231, 104685, 2022 | 9 | 2022 |
| Development and testing of real-time shovel-based mineral sensing systems for the enhanced recovery of mined material A Bamber, P How, CA McDevitt, D Munoz Paniagua, M Dirks, J LeRoss Procedings of the 7th Sensor-Based Sorting and Control, 2016 | 9 | 2016 |
| Comparing aggregators for relational probabilistic models SM Kazemi, B Fatemi, A Kim, Z Peng, MR Tora, X Zeng, M Dirks, D Poole arXiv preprint arXiv:1707.07785, 2017 | 6 | 2017 |
| Auto‐encoder neural network incorporating x‐ray fluorescence fundamental parameters with machine learning M Dirks, D Poole X‐Ray Spectrometry 52 (3), 142-150, 2023 | 2 | 2023 |
| Incorporating domain knowledge about xrf spectra into neural networks M Dirks, D Poole Workshop on Perception as Generative Reasoning, NeurIPS, 2019 | 2 | 2019 |
| Learning with prior domain knowledge and insufficient annotated data M Dirks Advances in Artificial Intelligence: 31st Canadian Conference on Artificial …, 2018 | 1 | 2018 |
| Comparing Aggregators for Relational Probabilistic Models S Mehran Kazemi, B Fatemi, A Kim, Z Peng, MR Tora, X Zeng, M Dirks, ... ArXiv e-prints, arXiv: 1707.07785, 2017 | 1 | 2017 |
| Representation, reasoning, and learning for a relational influence diagram applied to a real-time geological domain M Dirks, A Csinger, A Bamber, D Poole Advances in Artificial Intelligence: 29th Canadian Conference on Artificial …, 2016 | 1 | 2016 |
| Sensing and sorting ore using a relational influence diagram M Dirks University of British Columbia, 2014 | 1 | 2014 |
| Spectral sensor fusion for prediction of Li and Zr in rocks: Neural network and PLS methods M Dirks, D Turner, D Poole Chemometrics and Intelligent Laboratory Systems 240, 104915, 2023 | | 2023 |
| Machine learning for spectroscopic data analysis: challenges of limited labelled data M Dirks University of British Columbia, 2023 | | 2023 |
| Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves M Dirks, D Poole arXiv preprint arXiv:2008.07349, 2020 | | 2020 |
| Learning a Meaningful Representation with Prior Domain Knowledge Applied to X-ray Sensing in Geology M Dirks | | 2018 |
| Survey of Dynamic Medical Resource Allocation Methods M Dirks | | |
| Work Stealing in MPI M Dirks | | |
