| 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 | 154 | 2015 |
| 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 | 136 | 2012 |
| Context-aware and energy-driven route optimization for fully electric vehicles via crowdsourcing Y Wang, J Jiang, T Mu IEEE Transactions on Intelligent Transportation Systems 14 (3), 1331-1345, 2013 | 124 | 2013 |
| Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM–RBF classifier T Mu, AK Nandi Journal of the Franklin Institute 344 (3-4), 285-311, 2007 | 111 | 2007 |
| 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 | 108 | 2016 |
| Multiclass classification based on extended support vector data description T Mu, AK Nandi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 96 | 2009 |
| Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers T Mu, AK Nandi, RM Rangayyan Journal of Digital Imaging 21, 153-169, 2008 | 92 | 2008 |
| Unsupervised t-distributed video hashing and its deep hashing extension Y Hao, T Mu, JY Goulermas, J Jiang, R Hong, M Wang IEEE Transactions on Image Processing 26 (11), 5531-5544, 2017 | 59 | 2017 |
| A semi-supervised approach using label propagation to support citation screening G Kontonatsios, AJ Brockmeier, P Przybyła, J McNaught, T Mu, ... Journal of biomedical informatics 72, 67-76, 2017 | 58 | 2017 |
| Cross-domain sentiment encoding through stochastic word embedding Y Hao, T Mu, R Hong, M Wang, X Liu, JY Goulermas IEEE Transactions on Knowledge and Data Engineering 32 (10), 1909-1922, 2019 | 52 | 2019 |
| A unified theory of diversity in ensemble learning D Wood, T Mu, AM Webb, HWJ Reeve, M Lujan, G Brown Journal of Machine Learning Research 24 (359), 1-49, 2023 | 50 | 2023 |
| Proximity-based frameworks for generating embeddings from multi-output data T Mu, JY Goulermas, J Tsujii, S Ananiadou IEEE transactions on pattern analysis and machine intelligence 34 (11), 2216 …, 2012 | 39 | 2012 |
| Self-attention driven adversarial similarity learning network X Gao, Z Zhang, T Mu, X Zhang, C Cui, M Wang Pattern Recognition 105, 107331, 2020 | 32 | 2020 |
| ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials I Korkontzelos, T Mu, S Ananiadou BMC Medical Informatics and Decision Making 12 (Suppl 1), S3, 2012 | 32 | 2012 |
| Automatic induction of projection pursuit indices E Rodriguez-Martinez, JY Goulermas, T Mu, JF Ralph IEEE transactions on neural networks 21 (8), 1281-1295, 2010 | 32 | 2010 |
| Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm T Mu, AK Nandi, RM Rangayyan Computers in Biology and Medicine 38 (10), 1103-1111, 2008 | 30 | 2008 |
| Adaptive data embedding framework for multiclass classification T Mu, J Jiang, Y Wang, JY Goulermas IEEE transactions on neural networks and learning systems 23 (8), 1291-1303, 2012 | 28 | 2012 |
| An anatomically unbiased foot template for inter-subject plantar pressure evaluation TC Pataky, K Bosch, T Mu, NLW Keijsers, V Segers, D Rosenbaum, ... Gait & posture 33 (3), 418-422, 2011 | 28 | 2011 |
| Automated nonlinear feature generation and classification of foot pressure lesions T Mu, TC Pataky, AH Findlow, MSH Aung, JY Goulermas IEEE Transactions on Information Technology in Biomedicine 14 (2), 418-424, 2009 | 28 | 2009 |
| Detection of breast cancer using v-SVM and RBF networks with self organized selection of centers T Mu, AK Nandi The 3rd IEE International Seminar on Medical Applications of Signal …, 2005 | 28 | 2005 |
JY GoulermasProfessor, Computer Science, University of Liverpool, Data Mining & Machine Learning (DMML) groupCorreu electrònic verificat a liverpool.ac.uk
