Projects per year
Organisation profile
Organisation profile
The Centre for Mathematics and Algorithms for Data (MAD) at the University of Bath is an interdisciplinary group of researchers working at the intersection of Statistics, Machine Learning and Numerical Analysis with a huge range of application areas. Data Scientists use mathematics and computation to extract useful information from data. MAD aims to facilitate dialogue between groups, especially theorists in computer science and mathematics, and develop rigour in the field.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Dive into the research topics where Centre for Mathematics and Algorithms for Data (MAD) is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Karim Anaya-Izquierdo
- Department of Mathematical Sciences - Senior Lecturer
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Centre for Mathematical Biology
- Institute for Mathematical Innovation (IMI)
- Centre for Mathematics and Algorithms for Data (MAD)
Person: Research & Teaching
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Neill Campbell
- Department of Computer Science - Professor
- Centre for the Analysis of Motion, Entertainment Research & Applications
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- UKRI CDT in Accountable, Responsible and Transparent AI
- Centre for Mathematics and Algorithms for Data (MAD)
- Artificial Intelligence
- Visual Computing
- EPSRC Centre for Doctoral Training in Advanced Automotive Propulsion Systems (AAPS CDT)
- Bath Institute for the Augmented Human
Person: Research & Teaching, Core staff, Affiliate staff
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Xi Chen
- Department of Computer Science - Senior Lecturer
- UKRI CDT in Accountable, Responsible and Transparent AI
- Institute for Mathematical Innovation (IMI)
- Centre for Mathematics and Algorithms for Data (MAD)
- Artificial Intelligence
- EPSRC Centre for Doctoral Training in Advanced Automotive Propulsion Systems (AAPS CDT)
- Bath Institute for the Augmented Human
Person: Research & Teaching, Core staff, Affiliate staff
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Ensuring Data Privacy in Deep Learning through Compressive Learning
Nunes, M., Campbell, N., Poon, C. & Chen, C.
Engineering and Physical Sciences Research Council
1/04/23 → 31/03/24
Project: Research council
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High impact chronic pain and UK biobank: presentation, transitions and targets for intervention
van den Windt, D., Fisher, E., Eccleston, C., Keogh, E. & Ehrhardt, B.
1/06/22 → 2/06/25
Project: Research-related funding
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A sense-act digital technology for the home-based care of diabetic foot ulcers
Preatoni, E., Cioroianu, I., Ehrhardt, B., Gurevich, D., Kreusser, L., Lazarus, J., Metcalfe, B., Nishtala, P., Sharp, T. & Carter, J.
25/02/23 → 31/07/23
Project: Research-related funding
Research output
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A COMPUTATIONAL FRAMEWORK FOR EDGE-PRESERVING REGULARIZATION IN DYNAMIC INVERSE PROBLEMS
Pasha, M., Saibaba, A. K., Gazzola, S., Español, M. I. & de Sturler, E., 17 Jul 2023, (E-pub ahead of print) In: Electronic Transactions on Numerical Analysis. 58, p. 486-516 31 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile29 Downloads (Pure) -
A Design Utility Approach for Preferentially Sampled Spatial Data
Gray, E. & Evangelou, E., 31 Aug 2023, In: Journal of the Royal Statistical Society. Series C: Applied Statistics. 72, 4, p. 1041-1063 23 p., qlad040.Research output: Contribution to journal › Article › peer-review
Open Access -
Analyzing inexact hypergradients for bilevel learning
Ehrhardt, M. J. & Roberts, L., 30 Nov 2023, (E-pub ahead of print) In: IMA Journal of Applied Mathematics. 25 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure)
Datasets
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Dataset for "Machine learning outperforms clinical experts in classification of hip fractures"
Gill, R. (Creator), Ehrhardt, B. (Creator) & Murphy, E. (Creator), University of Bath, 8 Feb 2022
DOI: 10.15125/BATH-01011
Dataset
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Dataset for "Comparison of the within-reader and inter-vendor agreement of left ventricular circumferential strains and volume indices derived from cardiovascular magnetic resonance imaging"
Cookson, A. (Creator), Odunmbaku-Mansell, D. (Creator), Fraser, K. (Creator), Gill, R. (Creator), Raimondo, A. (Creator), Domenico, B. (Creator), Frank, E. (Contributor), Kelly, N. (Contributor), Agostinho Hernandez, B. (Contributor), Fletcher, J. (Contributor), Bartlett, J. (Contributor), Sammut, E. (Contributor), Johnson, T. (Contributor) & Chiribiri, A. (Contributor), University of Bath, 15 Dec 2020
DOI: 10.15125/BATH-00890
Dataset
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Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running"
Chen, X. (Creator), Weir, G. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator), Hamill, J. (Creator), Preatoni, E. (Creator) & Rodriguez Rivadulla, A. (Creator), University of Bath, 26 Jul 2021
DOI: 10.15125/BATH-00965, https://github.com/adrianrivadulla/FootNet
Dataset