no code implementations • 24 May 2019 • Bo Kang, Darío García García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
Dimensionality reduction and manifold learning methods such as t-Distributed Stochastic Neighbor Embedding (t-SNE) are routinely used to map high-dimensional data into a 2-dimensional space to visualize and explore the data.
no code implementations • 23 May 2019 • Niall Twomey, Michał Kozłowski, Raúl Santos-Rodríguez
It was recently shown that neural ordinary differential equation models cannot solve fundamental and seemingly straightforward tasks even with high-capacity vector field representations.
no code implementations • 31 May 2019 • Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez
This paper extends the class of ordinal regression models with a structured interpretation of the problem by applying a novel treatment of encoded labels.
no code implementations • 16 Aug 2019 • Taku Yamagata, Raúl Santos-Rodríguez, Ryan McConville, Atis Elsts
However, few studies have considered the balance between wearable power consumption and activity recognition accuracy.
no code implementations • 13 Oct 2020 • Taku Yamagata, Aisling O'Kane, Amid Ayobi, Dmitri Katz, Katarzyna Stawarz, Paul Marshall, Peter Flach, Raúl Santos-Rodríguez
In this paper we investigate the use of model-based reinforcement learning to assist people with Type 1 Diabetes with insulin dose decisions.
no code implementations • 8 Aug 2022 • Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández-Martínez
By training a simple, more interpretable model to locally approximate the decision boundary of a non-interpretable system, we can estimate the relative importance of the input features on the prediction.
no code implementations • 20 May 2023 • Alex Iacob, Pedro P. B. Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud J. Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
This work studies the impact of privacy in federated HAR at a user, environment, and sensor level.
no code implementations • 7 Dec 2023 • Michelle W. L. Wan, Jeffrey N. Clark, Edward A. Small, Elena Fillola Mayoral, Raúl Santos-Rodríguez
Sustainable global development is one of the most prevalent challenges facing the world today, hinging on the equilibrium between socioeconomic growth and environmental sustainability.
1 code implementation • 28 Mar 2024 • Jonathan Erskine, Matt Clifford, Alexander Hepburn, Raúl Santos-Rodríguez
Human-Computer Interaction has been shown to lead to improvements in machine learning systems by boosting model performance, accelerating learning and building user confidence.