Yuan Shen
Yuan Shen
Independent Research Fellow, Nottingham Trent University
Verified email at
Cited by
Cited by
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
Variational inference for diffusion processes
C Archambeau, M Opper, Y Shen, D Cornford, J Shawe-Taylor
Advances in neural information processing systems 20, 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
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
Unravelling socio-motor biomarkers in schizophrenia
P Słowiński, F Alderisio, C Zhai, Y Shen, P Tino, C Bortolon, ...
npj Schizophrenia 3 (1), 8, 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
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
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
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
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
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
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
Classification framework for partially observed dynamical systems
Y Shen, P Tino, K Tsaneva-Atanasova
Physical Review E 95 (4), 043303, 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
Advances in Neural Information Processing Systems
C Archambeau, M Opper, Y Shen, D Cornford, JS Shawe-Taylor
MIT Press 20, 17-24, 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
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
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
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
A variational radial basis function approximation for diffusion processes
MD Vrettas, D Cornford, Y Shen
17th European Symposium on Artificial Neural Networks: Advances in …, 2009
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