Yuan Shen
Yuan Shen
Independent Research Fellow, Nottingham Trent University
Vahvistettu sähköpostiosoite verkkotunnuksessa
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
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
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
Unravelling socio-motor biomarkers in schizophrenia
P Słowiński, F Alderisio, C Zhai, Y Shen, P Tino, C Bortolon, ...
npj Schizophrenia 3 (1), 1-10, 2017
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
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 (1), 51-59, 2010
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
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
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
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
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
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
Classification framework for partially observed dynamical systems
Y Shen, P Tino, K Tsaneva-Atanasova
Physical Review E 95 (4), 043303, 2017
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
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 (1), 149-176, 2012
Analyzing self-similarity in network traffic via the crossing tree
OD Jones, Y Shen
Online preprint available from: www. maths. soton. ac. uk/staff/ODJones …, 2003
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
Interpreting the filters in the first layer of a convolutional neural network for sleep stage classification
G Turabee, Y Shen, G Cosma
UK Workshop on Computational Intelligence, 142-154, 2019
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Artikkelit 1–20