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 | 789 | 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 | 734 | 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 | 368 | 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 | 315 | 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 | 244 | 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 | 171 | 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 | 155 | 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 | 153 | 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 | 136 | 2008 |
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 | 132 | 2012 |
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 | 113 | 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 | 108 | 2008 |
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 | 107 | 2016 |
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, 257-264, 2009 | 101 | 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 | 98 | 2013 |
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 | 96 | 2009 |
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, 1-12, 2009 | 90 | 2009 |
A class boundary preserving algorithm for data condensation K Nikolaidis, JY Goulermas, QH Wu Pattern Recognition 44 (3), 704-715, 2011 | 88 | 2011 |
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 | 73 | 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 | 72 | 2007 |