| A unified theory of diversity in ensemble learning D Wood, T Mu, AM Webb, HWJ Reeve, M Lujan, G Brown Journal of Machine Learning Research 24 (359), 1-49, 2023 | 18 | 2023 |
| Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features S Summerton, D Wood, D Murphy, O Redfern, M Benatan, M Kaisti, ... 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 4 | 2022 |
| Bias-Variance Decompositions for Margin Losses D Wood, T Mu, G Brown International Conference on Artificial Intelligence and Statistics, 1975-2001, 2022 | 2 | 2022 |
| Model-agnostic variable importance for predictive uncertainty: an entropy-based approach D Wood, T Papamarkou, M Benatan, R Allmendinger arXiv preprint arXiv:2310.12842, 2023 | | 2023 |
| A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation A Perrett, D Wood, G Brown arXiv preprint arXiv:2307.09602, 2023 | | 2023 |
| Effects of Network Weight Structure in Echo State Networks DJ Wood PQDT-Global, 2020 | | 2020 |
