Alexander Capstick

16 papers A* 1C 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model.
CoRR
Jin Cui, Alexander Capstick, Payam M. Barnaghi, Gregory Scott
2025 A* conf
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling.
ICML
Alexander Capstick, Rahul G. Krishnan, Payam M. Barnaghi
2025 J jnl
Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment.
CoRR
Maria R. Lima, Alexander Capstick, Fatemeh Geranmayeh, Ramin Nilforooshan, Maja J. Mataric, Ravi Vaidyanathan, Payam M. Barnaghi
2025 J jnl
Training neural networks on data sources with unknown reliability.
Inf. Fusion
Alexander Capstick, Francesca Palermo, Tianyu Cui, Payam M. Barnaghi
2025 J jnl
Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia.
CoRR
Jin Cui, Alexander Capstick, Payam M. Barnaghi, Gregory Scott
2025 J jnl
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity.
CoRR
Kexin Fan, Alexander Capstick, Ramin Nilforooshan, Payam M. Barnaghi
2024 J jnl
Analyzing entropy features in time-series data for pattern recognition in neurological conditions.
Artif. Intell. Medicine
Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi
2024 J jnl
Digital remote monitoring for screening and early detection of urinary tract infections.
npj Digit. Medicine
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
2024 J jnl
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction.
CoRR
Yu Chen, Tianyu Cui, Alexander Capstick, Nan Fletcher-Lloyd, Payam M. Barnaghi
2024 J jnl
Representation Learning of Daily Movement Data Using Text Encoders.
CoRR
Alexander Capstick, Tianyu Cui, Yu Chen, Payam M. Barnaghi
2024 C conf
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity.
HealthCom
Kexin Fan, Alexander Capstick, Ramin Nilforooshan, Payam M. Barnaghi
2024 J jnl
Using Large Language Models for Expert Prior Elicitation in Predictive Modelling.
CoRR
Alexander Capstick, Rahul G. Krishnan, Payam M. Barnaghi
2023 J jnl
Information Theory Inspired Pattern Analysis for Time-series Data.
CoRR
Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi
2023 — conf
Predicting Targets with Data from Non-Conforming Sources.
Tiny Papers @ ICLR
Alexander Capstick, Payam M. Barnaghi
2022 J jnl
Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources.
CoRR
Alexander Capstick, Francesca Palermo, Payam M. Barnaghi
2021 J jnl
Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data.
CoRR
Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam M. Barnaghi