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Information Theory Inspired Pattern Analysis for Time-series Data


Feb 22, 2023
Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam Barnaghi

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Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources


Dec 06, 2022
Alexander Capstick, Francesca Palermo, Payam Barnaghi

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Using Entropy Measures for Monitoring the Evolution of Activity Patterns


Oct 05, 2022
Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam Barnaghi

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Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data


Oct 19, 2021
Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David Sharp, Payam Barnaghi

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* 13 pages, accepted to Research2Clinics WS @ NeurIPS 2021 

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Multimodal Federated Learning


Sep 10, 2021
Yuchen Zhao, Payam Barnaghi, Hamed Haddadi

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Semi-supervised Learning for Identifying the Likelihood of Agitation in People with Dementia


May 14, 2021
Roonak Rezvani, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam Barnaghi

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An Intelligent Bed Sensor System for Non-Contact Respiratory Rate Monitoring


Mar 25, 2021
Qingju Liu, Mark Kenny, Ramin Nilforooshan, Payam Barnaghi

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* 12 pages 

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A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data


Mar 03, 2021
Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam Barnaghi

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An attention model to analyse the risk of agitation and urinary tract infections in people with dementia


Jan 18, 2021
Honglin Li, Roonak Rezvani, Magdalena Anita Kolanko, David J. Sharp, Maitreyee Wairagkar, Ravi Vaidyanathan, Ramin Nilforooshan, Payam Barnaghi

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* 11 pages 

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Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots


Dec 08, 2020
Maitreyee Wairagkar, Maria R Lima, Daniel Bazo, Richard Craig, Hugo Weissbart, Appolinaire C Etoundi, Tobias Reichenbach, Prashant Iyenger, Sneh Vaswani, Christopher James, Payam Barnaghi, Chris Melhuish, Ravi Vaidyanathan

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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