Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. - Francesca Palermo; Honglin Li; Alexander Capstick; Nan Fletcher-Lloyd; Yuchen Zhao; Samaneh Kouchaki; Ramin Nilforooshan; David J. Sharp; Payam M. Barnaghi (CoRR, 2021)

Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources. - Alexander Capstick; Francesca Palermo; Payam M. Barnaghi (CoRR, 2022)

Predicting Targets with Data from Non-Conforming Sources. - Alexander Capstick; Payam M. Barnaghi (Tiny Papers @ ICLR, 2023)

Information Theory Inspired Pattern Analysis for Time-series Data. - Yushan Huang; Yuchen Zhao; Alexander Capstick; Francesca Palermo; Hamed Haddadi; Payam M. Barnaghi (CoRR, 2023)

TIHM: An open dataset for remote healthcare monitoring in dementia. - Francesca Palermo; Yu Chen; Alexander Capstick; Nan Fletcher-Lloyd; Chloe Walsh; Samaneh Kouchaki; Jessica True; Olga Balazikova; Eyal Soreq; Gregory Scott; Helen Rostill; Ramin Nilforooshan; et al. (Zenodo, 2023)

Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity. - Kexin Fan; Alexander Capstick; Ramin Nilforooshan; Payam M. Barnaghi (HealthCom, 2024)

Analyzing entropy features in time-series data for pattern recognition in neurological conditions. - Yushan Huang; Yuchen Zhao; Alexander Capstick; Francesca Palermo; Hamed Haddadi; Payam M. Barnaghi (Artif. Intell. Medicine, 2024)

Representation Learning of Daily Movement Data Using Text Encoders. - Alexander Capstick; Tianyu Cui; Yu Chen; Payam M. Barnaghi (CoRR, 2024)

Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction. - Yu Chen; Tianyu Cui; Alexander Capstick; Nan Fletcher-Lloyd; Payam M. Barnaghi (CoRR, 2024)

Using Large Language Models for Expert Prior Elicitation in Predictive Modelling. - Alexander Capstick; Rahul G. Krishnan; Payam M. Barnaghi (CoRR, 2024)

Digital remote monitoring for screening and early detection of urinary tract infections. - 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; et al. (npj Digit. Medicine, 2024)

Training neural networks on data sources with unknown reliability. - Alexander Capstick; Francesca Palermo; Tianyu Cui; Payam M. Barnaghi (Inf. Fusion, 2025)

Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment. - Maria R. Lima; Alexander Capstick; Fatemeh Geranmayeh; Ramin Nilforooshan; Maja J. Mataric; Ravi Vaidyanathan; Payam M. Barnaghi (CoRR, 2025)

Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia. - Jin Cui; Alexander Capstick; Payam M. Barnaghi; Gregory Scott (CoRR, 2025)

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model. - Jin Cui; Alexander Capstick; Payam M. Barnaghi; Gregory Scott (CoRR, 2025)