| Dimensional complexity and spectral properties of the human sleep EEG Y Shen, E Olbrich, P Achermann, PF Meier Clinical Neurophysiology 114 (2), 199-209, 2003 | 146 | 2003 |
| Variational inference for diffusion processes C Archambeau, M Opper, Y Shen, D Cornford, J Shawe-Taylor Advances in neural information processing systems 20, 2007 | 118 | 2007 |
| Learning predictive statistics: strategies and brain mechanisms R Wang, Y Shen, P Tino, AE Welchman, Z Kourtzi Journal of Neuroscience 37 (35), 8412-8427, 2017 | 41 | 2017 |
| Estimating the Hurst index of a self-similar process via the crossing tree OD Jones, Y Shen IEEE Signal Processing Letters 11 (4), 416-419, 2004 | 41 | 2004 |
| Unravelling socio-motor biomarkers in schizophrenia P Słowiński, F Alderisio, C Zhai, Y Shen, P Tino, C Bortolon, ... npj Schizophrenia 3 (1), 8, 2017 | 40 | 2017 |
| Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning VM Karlaftis, J Giorgio, PE Vértes, R Wang, Y Shen, P Tino, AE Welchman, ... Nature human behaviour 3 (3), 297-307, 2019 | 31 | 2019 |
| Personalized medication response prediction for attention-deficit hyperactivity disorder: learning in the model space vs. learning in the data space HK Wong, PA Tiffin, MJ Chappell, TE Nichols, PR Welsh, OM Doyle, ... Frontiers in physiology 8, 199, 2017 | 23 | 2017 |
| Learning predictive statistics from temporal sequences: Dynamics and strategies R Wang, Y Shen, P Tino, AE Welchman, Z Kourtzi Journal of Vision 17 (12), 1-1, 2017 | 21 | 2017 |
| Classifying cognitive profiles using machine learning with privileged information in mild cognitive impairment HH Alahmadi, Y Shen, S Fouad, CDB Luft, P Bentham, Z Kourtzi, P Tino Frontiers in Computational Neuroscience 10, 117, 2016 | 21 | 2016 |
| Functional brain networks for learning predictive statistics J Giorgio, VM Karlaftis, R Wang, Y Shen, P Tino, A Welchman, Z Kourtzi cortex 107, 204-219, 2018 | 17 | 2018 |
| A comparison of variational and Markov chain Monte Carlo methods for inference in partially observed stochastic dynamic systems Y Shen, C Archambeau, D Cornford, M Opper, J Shawe-Taylor, R Barillec Journal of Signal Processing Systems 61, 51-59, 2010 | 16 | 2010 |
| Spatial–temporal modelling of fMRI data through spatially regularized mixture of hidden process models Y Shen, SD Mayhew, Z Kourtzi, P Tiňo NeuroImage 84, 657-671, 2014 | 13 | 2014 |
| Decision tree approaches to select high risk patients for lung cancer screening based on the UK primary care data T Rai, Y Shen, J Kaur, J He, M Mahmud, DJ Brown, DR Baldwin, ... International conference on artificial intelligence in medicine, 35-39, 2023 | 10 | 2023 |
| Classification framework for partially observed dynamical systems Y Shen, P Tino, K Tsaneva-Atanasova Physical Review E 95 (4), 043303, 2017 | 10 | 2017 |
| An efficient algorithm to determine fractal dimensions of point sets RM Füchslin, Y Shen, PF Meier Physics Letters A 285 (1-2), 69-75, 2001 | 10 | 2001 |
| Advances in Neural Information Processing Systems C Archambeau, M Opper, Y Shen, D Cornford, JS Shawe-Taylor MIT Press 20, 17-24, 2008 | 9 | 2008 |
| Variational Markov chain Monte Carlo for Bayesian smoothing of non-linear diffusions Y Shen, D Cornford, M Opper, C Archambeau Computational Statistics 27, 149-176, 2012 | 8 | 2012 |
| A new variational radial basis function approximation for inference in multivariate diffusions MD Vrettas, D Cornford, M Opper, Y Shen Neurocomputing 73 (7-9), 1186-1198, 2010 | 8 | 2010 |
| Interpreting the filters in the first layer of a convolutional neural network for sleep stage classification G Turabee, Y Shen, G Cosma Advances in Computational Intelligence Systems: Contributions Presented at …, 2020 | 6 | 2020 |
| White-matter pathways for statistical learning of temporal structures VM Karlaftis, R Wang, Y Shen, P Tino, G Williams, AE Welchman, ... ENeuro 5 (3), 2018 | 6 | 2018 |
