Model-agnostic variable importance for predictive uncertainty: an entropy-based approach
Wood, Danny, et al. "Model-agnostic variable importance for predictive uncertainty: an entropy-based approach" Data Mining and Knowledge Discovery (2024).
Wood, Danny, et al. "Model-agnostic variable importance for predictive uncertainty: an entropy-based approach" Data Mining and Knowledge Discovery (2024).
Wood, Danny, et al. "A Unified Theory of Diversity in Ensemble Learning." arXiv preprint arXiv:2301.03962 (2023).
Wood, Danny, Tingting Mu, and Gavin Brown. "Bias-Variance Decompositions for Margin Losses." International Conference on Artificial Intelligence and Statistics. PMLR, 2022.
Summerton, Sara, et al. "Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features." Computing in Cardiology 2022: 49th Computing in Cardiology Conference. 2022.
Wood, Danny (2020). "Effects of Network Weight Structure in Echo State Networks." PhD Thesis.
Wood, Danny (2014). "Information Component Analysis for Facial Images" MSc Thesis.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA