Information Component Analysis for Facial Images
Wood, Danny (2014). "Information Component Analysis for Facial Images" MSc Thesis.
Wood, Danny (2014). "Information Component Analysis for Facial Images" MSc Thesis.
Wood, Danny (2020). "Effects of Network Weight Structure in Echo State Networks." PhD Thesis.
My thesis explored memory and stability in Echo State Networks. Drawing on tools from control theory, I gave exact expressions for calculating the memory capacity of these networks. I also looked at the “different timescales” phenomenon in recurrent neural networks, characterising the phenomenon both in terms of the memory capacity of deep network layers and in terms of how the sensitivity of different layers to perturbations in input varies over time.
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.
Submitted as an entry in the 2022 Physionet Challenge as member of the team Murmur Mia! (winner of best team name). Hidden Markov Model segmentation code used in the paper can be found here.
Wood, Danny, Tingting Mu, and Gavin Brown. "Bias-Variance Decompositions for Margin Losses." International Conference on Artificial Intelligence and Statistics. PMLR, 2022.
Wood, Danny, et al. "A Unified Theory of Diversity in Ensemble Learning." arXiv preprint arXiv:2301.03962 (2023).
Wood, Danny, et al. "Model-agnostic variable importance for predictive uncertainty: an entropy-based approach" Data Mining and Knowledge Discovery (2024).
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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