| Analyzing entropy features in time-series data for pattern recognition in neurological conditions Y Huang, Y Zhao, A Capstick, F Palermo, H Haddadi, P Barnaghi Artificial Intelligence in Medicine 150, 102821, 2024 | 10 | 2024 |
| Digital remote monitoring for screening and early detection of urinary tract infections A Capstick, F Palermo, K Zakka, N Fletcher-Lloyd, C Walsh, T Cui, ... NPJ Digital Medicine 7 (1), 11, 2024 | 9 | 2024 |
| Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data F Palermo, H Li, A Capstick, N Fletcher-Lloyd, Y Zhao, S Kouchaki, ... arXiv preprint arXiv:2110.09868, 2021 | 7 | 2021 |
| Tihm: An open dataset for remote healthcare monitoring in dementia F Palermo, Y Chen, A Capstick, N Fletcher-Loyd, C Walsh, S Kouchaki, ... Scientific data 10 (1), 606, 2023 | 6 | 2023 |
| Using home monitoring technology to study the effects of traumatic brain injury in older multimorbid adults ME Parkinson, R Doherty, F Curtis, E Soreq, HHL Lai, AI Serban, M Dani, ... Annals of clinical and translational neurology 10 (9), 1688-1694, 2023 | 2 | 2023 |
| An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia: a proof-of-concept study M Bafaloukou, AK Schalkamp, N Fletcher-Lloyd, A Capstick, C Walsh, ... eClinicalMedicine 80, 103032, 2025 | | 2025 |
| Longitudinal study of care needs and behavioural changes in people living with dementia using in-home assessment data C Walsh, A Capstick, N Fletcher-Lloyd, J True, ... Communications Medicine 5 (1), 14, 2025 | | 2025 |
| AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling A Capstick, RG Krishnan, P Barnaghi arXiv preprint arXiv:2411.17284, 2024 | | 2024 |
| Assessment of sleep patterns in dementia and general population cohorts using passive in-home monitoring technologies L Rigny, N Fletcher-Lloyd, A Capstick, R Nilforooshan, P Barnaghi Communications Medicine 4 (1), 222, 2024 | | 2024 |
| Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction Y Chen, T Cui, A Capstick, N Fletcher-Loyd, P Barnaghi arXiv preprint arXiv:2406.17885, 2024 | | 2024 |
| Representation Learning of Daily Movement Data Using Text Encoders A Capstick, T Cui, Y Chen, P Barnaghi ICLR 2024 Workshop Time Series for Health, 2024 | | 2024 |
| An Interpretable Machine Learning Tool for In-Home Screening of Agitation Episodes in People Living with Dementia M Bafaloukou, AK Schalkamp, NV Fletcher-Lloyd, A Capstick, C Walsh, ... medRxiv, 2024.07. 30.24311178, 2024 | | 2024 |
| Clinically relevant and explainable feature extraction from remote monitoring data for the prediction of urinary tract infections A Capstick, F Palermo, H Li, P Barnaghi, D Wingfield, MA Kolanko, ... Alzheimer's & Dementia 19, e064683, 2023 | | 2023 |
| Predicting Targets with Data from Non-Conforming Sources A Capstick, P Barnaghi ICLR 2023 Tiny Papers Track, 2023 | | 2023 |
| Information Theory Inspired Pattern Analysis for Time-series Data Y Huang, Y Zhao, A Capstick, F Palermo, H Haddadi, P Barnaghi arXiv preprint arXiv:2302.11654, 2023 | | 2023 |
| Training Neural Networks on Data Sources with Unknown Reliability A Capstick, F Palermo, T Cui, P Barnaghi arXiv preprint arXiv:2212.02895, 2022 | | 2022 |
