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Michael Catt
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2020 – today
- 2023
- [c9]Jamie McQuire, Paul Watson, Nick Wright, Hugo Hiden, Michael Catt:
A Data Efficient Vision Transformer for Robust Human Activity Recognition from the Spectrograms of Wearable Sensor Data. SSP 2023: 364-368 - 2022
- [j5]Philip Darke
, Sophie A. Cassidy
, Michael Catt, Roy Taylor, Paolo Missier
, Jaume Bacardit
:
Curating a longitudinal research resource using linked primary care EHR data - a UK Biobank case study. J. Am. Medical Informatics Assoc. 29(3): 546-552 (2022) - 2021
- [j4]Bing Zhai, Yu Guan, Michael Catt, Thomas Plötz:
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 191:1-191:33 (2021) - [c8]Jamie McQuire
, Paul Watson, Nick Wright, Hugo Hiden, Michael Catt:
Uneven and Irregular Surface Condition Prediction from Human Walking Data using both Centralized and Decentralized Machine Learning Approaches. BIBM 2021: 1449-1452 - [i2]Bing Zhai, Yu Guan, Michael Catt, Thomas Ploetz:
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing. CoRR abs/2111.10245 (2021) - 2020
- [j3]Petra J. Jones
, Matthew K. James, Melanie J. Davies
, Kamlesh Khunti
, Mike Catt, Tom Yates, Alex V. Rowlands
:
FilterK: A new outlier detection method for k-means clustering of physical activity. J. Biomed. Informatics 104: 103397 (2020)
2010 – 2019
- 2019
- [j2]Petra J. Jones
, Evgeny M. Mirkes
, Tom Yates, Charlotte L. Edwardson
, Mike Catt, Melanie J. Davies
, Kamlesh Khunti
, Alex V. Rowlands
:
Towards a Portable Model to Discriminate Activity Clusters from Accelerometer Data. Sensors 19(20): 4504 (2019) - 2018
- [c7]Shaun Barney, Scott Stainton, Michael Catt, Satnam Singh Dlay:
Feature specific analysis of a deep convolutional neural network for ageing classification. CSNDSP 2018: 1-6 - [c6]Scott Stainton, Shaun Barney, Michael Catt, Satnam Singh Dlay:
On the application of quantization for mobile optimized convolutional neural networks as a predictor of realtime ageing biomarkers. CSNDSP 2018: 1-5 - [c5]Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, Dai Quoc Nguyen, Michael Catt, Michael Trenell:
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter. SemEval@NAACL-HLT 2018: 525-530 - [i1]Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, Dai Quoc Nguyen, Michael Catt, Michael Trenell:
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter. CoRR abs/1804.00520 (2018) - 2017
- [j1]Goulielmos-Zois Garyfallou, Orlando Ketebu, Samet Sahin
, Elizabeta B. Mukaetova-Ladinska, Michael Catt
, Eileen Hao Yu
:
Electrochemical Detection of Plasma Immunoglobulin as a Biomarker for Alzheimer's Disease. Sensors 17(11): 2464 (2017) - [c4]Madeline Balaam, Lone Koefoed Hansen
, Catherine D'Ignazio, Emma Simpson, Teresa Almeida
, Stacey Kuznetsov, Mike Catt, Marie Louise Juul Søndergaard:
Hacking Women's Health. CHI Extended Abstracts 2017: 476-483 - 2016
- [c3]Cassim Ladha, Silvia Del Din
, Kianoush Nazarpour
, Aodhán Hickey, Rosie Morris
, Michael Catt
, Lynn Rochester
, Alan Godfrey
:
Toward a low-cost gait analysis system for clinical and free-living assessment. EMBC 2016: 1874-1877 - [c2]Silvia Del Din
, Aodhán Hickey, Simon Woodman, Hugo Hiden, Rosie Morris
, Paul Watson
, Kianoush Nazarpour, Michael Catt, Lynn Rochester
, Alan Godfrey
:
Accelerometer-based gait assessment: Pragmatic deployment on an international scale. SSP 2016: 1-5 - 2014
- [c1]Sathish K. SankarPandi, Satnam Singh Dlay, Wai Lok Woo
, Michael Catt:
Predicting disability levels of community dwelling older individuals using single wrist mounted accelerometer. BHI 2014: 720-723
Coauthor Index
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