Niall Twomey

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Tom DietheAstraZeneca; University of BristolDirección de correo verificada de bristol.ac.uk
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolDirección de correo verificada de bristol.ac.uk
Ian CraddockUniversity of BristolDirección de correo verificada de bristol.ac.uk
Massimo CamplaniAmazon Prime VideoDirección de correo verificada de amazon.co.uk
Raúl Santos-RodríguezUniversity of BristolDirección de correo verificada de bristol.ac.uk
Xenofon FafoutisTechnical University of DenmarkDirección de correo verificada de dtu.dk
Ni ZhuUniversity of BristolDirección de correo verificada de bristol.ac.uk
Alison BurrowsLab2PT, Universidade do MinhoDirección de correo verificada de arquitetura.uminho.pt
Sion HannunaUniversity of BristolDirección de correo verificada de bris.ac.uk
Atis ElstsInstitute of Electronics and Computer Science (EDI)Dirección de correo verificada de edi.lv
William MarnaneDepartment of Electrical & Electronic Engineering , University College CorkDirección de correo verificada de ucc.ie
Majid MirmehdiProfessor of Computer Vision, FIAPR, FBMVA, University of BristolDirección de correo verificada de bristol.ac.uk
Meelis KullAssociate Professor, University of TartuDirección de correo verificada de ut.ee
Robert PiechockiUniversity of BristolDirección de correo verificada de bristol.ac.uk
Ryan McConvilleUniversity of BristolDirección de correo verificada de bristol.ac.uk
Rafael PoyiadzisUniversity of BristolDirección de correo verificada de bristol.ac.uk
Lili TaoUniversity of BristolDirección de correo verificada de bristol.ac.uk
Emma TonkinUniversity of BristolDirección de correo verificada de bath.edu
Hao SongAmazon; University of BristolDirección de correo verificada de amazon.com
Michal KozlowskiAarhus UniversityDirección de correo verificada de ece.au.dk

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Niall Twomey

Amazon; University of Bristol (honorary)

Dirección de correo verificada de bristol.ac.uk - Página principal

machine learning behavioural modelling structural learning uncertainty modelling


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Bridging e-health and the internet of things: The sphere project N Zhu, T Diethe, M Camplani, L Tao, A Burrows, N Twomey, D Kaleshi, ... IEEE Intelligent Systems 30 (4), 39-46, 2015	324	2015
A Comprehensive Study of Activity Recognition Using Accelerometers N Twomey, T Diethe, X Fafoutis, A Elsts, R McConville, P Flach, ... Informatics 5, 2018	155	2018
SPHERE: A sensor platform for healthcare in a residential environment P Woznowski, A Burrows, T Diethe, X Fafoutis, J Hall, S Hannuna, ... Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT …, 2017	90	2017
The SPHERE challenge: Activity recognition with multimodal sensor data N Twomey, T Diethe, M Kull, H Song, M Camplani, S Hannuna, X Fafoutis, ... arXiv preprint arXiv:1603.00797, 2016	89	2016
Active transfer learning for activity recognition T Diethe, N Twomey, P Flach European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016	52	2016
Unsupervised learning of sensor topologies for improving activity recognition in smart environments N Twomey, T Diethe, I Craddock, P Flach Neurocomputing 234, 93-106, 2017	47	2017
Comparison of accelerometer-based energy expenditure estimation algorithms N Twomey, S Faul, WP Marnane 2010 4th International Conference on Pervasive Computing Technologies for …, 2010	39	2010
On-Board Feature Extraction from Acceleration Data for Activity Recognition A Elsts, R McConville, X Fafoutis, N Twomey, R Piechocki, ... Proceedings of the International Conference on Embedded Wireless Systems and …, 2018	36	2018
Probabilistic sensor fusion for ambient assisted living T Diethe, N Twomey, M Kull, P Flach, I Craddock arXiv preprint arXiv:1702.01209, 2017	24	2017
Talk, text, tag? understanding self-annotation of smart home data from a user’s perspective EL Tonkin, A Burrows, PR Woznowski, P Laskowski, KY Yordanova, ... Sensors 18 (7), 2365, 2018	23	2018
Dividing and conquering cross-modal recipe retrieval: from nearest neighbours baselines to sota M Fain, N Twomey, A Ponikar, R Fox, D Bollegala arXiv preprint arXiv:1911.12763, 2019	20	2019
Energy-efficient activity recognition framework using wearable accelerometers A Elsts, N Twomey, R McConville, I Craddock Journal of Network and Computer Applications 168, 102770, 2020	19	2020
Releasing ehealth analytics into the wild: lessons learnt from the sphere project T Diethe, M Holmes, M Kull, M Perello Nieto, K Sokol, H Song, E Tonkin, ... Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	18	2018
Bayesian Active Transfer Learning in Smart Homes T Diethe, N Twomey, P Flach Advances in Active Learning : Bridging Theory and Practice, ICML 2015, 2015	18	2015
The effect of lossy ECG compression on QRS and HRV feature extraction N Twomey, N Walsh, O Doyle, B McGinley, M Glavin, E Jones, ... 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010	18	2010
An RSSI-based Wall Prediction Model for Residential Floor Map Construction X Fafoutis, E Mellios, N Twomey, T Diethe, G Hilton, R Piechocki 2nd IEEE World Forum on Internet of Things (WF-IoT),, 2015	17	2015
Context Modulation of Sensor Data Applied to Activity Recognition in Smart Homes N Twomey, P Flach Workshop on Learning over Multiple Contexts, European Conference on Machine …, 2014	16	2014
Bayesian Active Learning with Evidence-Based Instance Selection N Twomey, T Diethe, P Flach Second International Workshop on Learning over Multiple Contexts in …, 2015	15	2015
Automated detection of perturbed cardiac physiology during oral food allergen challenge in children N Twomey, A Temko, JOB Hourihane, WP Marnane IEEE journal of biomedical and health informatics 18 (3), 1051-1057, 2013	15	2013
Talk, text or tag? P Woznowski, E Tonkin, P Laskowski, N Twomey, K Yordanova, ... 1st International Workshop on Annotation of useR Data for UbiquitOUs Systems …, 2017	14	2017

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