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Journal Articles
- 2024
[j2]Yushan Huang
, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi:
Analyzing entropy features in time-series data for pattern recognition in neurological conditions. Artif. Intell. Medicine 150: 102821 (2024)- [j1]Alexander Capstick, Francesca Palermo, Kimberley Zakka, Nan Fletcher-Lloyd, Chloe Walsh, Tianyu Cui, Samaneh Kouchaki, Raphaella Jackson, Martin Tran, Michael Crone, Kirsten Jensen, Paul S. Freemont, Ravi Vaidyanathan, Magdalena Kolanko, Jessica True, Sarah Daniels, David Wingfield, Ramin Nilforooshan, Payam M. Barnaghi:
Digital remote monitoring for screening and early detection of urinary tract infections. npj Digit. Medicine 7(1) (2024)
Conference and Workshop Papers
- 2023
- [c1]Alexander Capstick, Payam M. Barnaghi:
Predicting Targets with Data from Non-Conforming Sources. Tiny Papers @ ICLR 2023
Informal and Other Publications
- 2024
- [i5]Alexander Capstick, Tianyu Cui, Yu Chen, Payam M. Barnaghi:
Representation Learning of Daily Movement Data Using Text Encoders. CoRR abs/2405.04494 (2024) - [i4]Yu Chen, Tianyu Cui, Alexander Capstick, Nan Fletcher-Lloyd, Payam M. Barnaghi:
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction. CoRR abs/2406.17885 (2024) - 2023
- [i3]Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi:
Information Theory Inspired Pattern Analysis for Time-series Data. CoRR abs/2302.11654 (2023) - 2022
- [i2]Alexander Capstick, Francesca Palermo, Payam M. Barnaghi:
Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources. CoRR abs/2212.02895 (2022) - 2021
- [i1]Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam M. Barnaghi:
Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. CoRR abs/2110.09868 (2021)
Coauthor Index
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