JY Goulermas
JY Goulermas
Professor, Computer Science, University of Liverpool, Data Mining & Machine Learning (DMML) group
Verified email at - Homepage
Cited by
Cited by
Activity identification using body-mounted sensors—a review of classification techniques
SJ Preece, JY Goulermas, LPJ Kenney, D Howard, K Meijer, R Crompton
Physiological measurement 30 (4), R1, 2009
A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data
SJ Preece, JY Goulermas, LPJ Kenney, D Howard
IEEE Transactions on Biomedical Engineering 56 (3), 871-879, 2008
Electric load forecasting based on locally weighted support vector regression
EE Elattar, J Goulermas, QH Wu
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010
Path planning in construction sites: performance evaluation of the Dijkstra, A∗, and GA search algorithms
AR Soltani, H Tawfik, JY Goulermas, T Fernando
Advanced engineering informatics 16 (4), 291-303, 2002
Predicting lower limb joint kinematics using wearable motion sensors
A Findlow, JY Goulermas, C Nester, D Howard, LPJ Kenney
Gait & posture 28 (1), 120-126, 2008
New insights into the plantar pressure correlates of walking speed using pedobarographic statistical parametric mapping (pSPM)
TC Pataky, P Caravaggi, R Savage, D Parker, JY Goulermas, WI Sellers, ...
Journal of biomechanics 41 (9), 1987-1994, 2008
A dynamic model of the windlass mechanism of the foot: evidence for early stance phase preloading of the plantar aponeurosis
P Caravaggi, T Pataky, JY Goulermas, R Savage, R Crompton
Journal of Experimental Biology 212 (15), 2491-2499, 2009
Cross-domain sentiment classification using sentiment sensitive embeddings
D Bollegala, T Mu, JY Goulermas
IEEE Transactions on Knowledge and Data Engineering 28 (2), 398-410, 2015
A probabilistic classifier for transformer dissolved gas analysis with a particle swarm optimizer
WH Tang, JY Goulermas, QH Wu, ZJ Richardson, J Fitch
IEEE transactions on power delivery 23 (2), 751-759, 2008
Predicting aspiration after hemispheric stroke from timing measures of oropharyngeal bolus flow and laryngeal closure
ML Power, S Hamdy, JY Goulermas, PJ Tyrrell, I Turnbull, DG Thompson
Dysphagia 24 (3), 257-264, 2009
Gait recognition: highly unique dynamic plantar pressure patterns among 104 individuals
TC Pataky, T Mu, K Bosch, D Rosenbaum, JY Goulermas
Journal of The Royal Society Interface 9 (69), 790-800, 2012
Stochastic multiview hashing for large-scale near-duplicate video retrieval
Y Hao, T Mu, R Hong, M Wang, N An, JY Goulermas
IEEE Transactions on Multimedia 19 (1), 1-14, 2016
The pizzicato knee-joint energy harvester: characterization with biomechanical data and the effect of backpack load
M Pozzi, MSH Aung, M Zhu, RK Jones, JY Goulermas
Smart Materials and Structures 21 (7), 075023, 2012
Pedobarographic statistical parametric mapping (pSPM): a pixel-level approach to foot pressure image analysis
TC Pataky, JY Goulermas
Journal of biomechanics 41 (10), 2136-2143, 2008
Multivoxel fMRI analysis of color tuning in human primary visual cortex
LM Parkes, JBC Marsman, DC Oxley, JY Goulermas, SM Wuerger
Journal of Vision 9 (1), 1-1, 2009
A class boundary preserving algorithm for data condensation
K Nikolaidis, JY Goulermas, QH Wu
Pattern Recognition 44 (3), 704-715, 2011
Movement variability in stroke patients and controls performing two upper limb functional tasks: a new assessment methodology
SB Thies, PA Tresadern, LP Kenney, J Smith, D Howard, JY Goulermas, ...
Journal of neuroengineering and rehabilitation 6 (1), 1-12, 2009
Automated detection of instantaneous gait events using time frequency analysis and manifold embedding
MSH Aung, SB Thies, LPJ Kenney, D Howard, RW Selles, AH Findlow, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 21 (6 …, 2013
Comparison of linear accelerations from three measurement systems during “reach & grasp”
SB Thies, P Tresadern, L Kenney, D Howard, JY Goulermas, C Smith, ...
Medical engineering & physics 29 (9), 967-972, 2007
Density-driven generalized regression neural networks (DD-GRNN) for function approximation
JY Goulermas, P Liatsis, XJ Zeng, P Cook
IEEE transactions on neural networks 18 (6), 1683-1696, 2007
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