Author
Number of items: 72.
2024
Investigating HuBERT-based Speech Emotion Recognition Generalisation Capability. (2024)
Letian Li,
Cornelius Glackin,
Nigel Cannings,
Vito Veneziano,
Jack Barker,
Olakunle Oduola,
Chris Woodruff,
Thea Laird,
James Laird
and
Yi Sun
Unravelling Player's Insights: A Comparative Analysis of Topic Modelling Techniques on Game Reviews and Video Game Developers' Perspectives. (2024)
Xinge Tong,
Ian Willcock
and
Yi Sun
The verification of periodicity with the use of recurrent neural networks. (2024)
N Miller,
P W Lucas,
Y Sun,
Z Guo,
W J Cooper
and
C Morris
2022
Bacterial colony counting could be rapid, adaptive and automated. (2022)
Minghua Zheng,
Na Helian,
Peter Lane,
Yi Sun
and
Allen Donald
A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition. (2022)
Shreyah Iyer,
Cornelius Glackin,
Nigel Cannings,
Vito Veneziano
and
Yi Sun
Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction. (2022)
Ibrahim Al-Shourbaji,
Na Helian,
Yi Sun,
Samah Alshathri
and
Mohamed Abd Elaziz
2019
The influence of diffusion cell type and experimental temperature on machine learning models of skin permeability. (2019)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Simon Charles Wilkinson
and
Gary Moss
The Swallowing Characteristics of Thickeners, Jellies and Yoghurt Observed Using an In Vitro Model. (2019)
Simmi Patel,
William McAuley,
Michael T. Cook,
Yi Sun,
Shaheen Hamdy
and
Fang Liu
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Improving the MXFT Scheduling Algorithm for a Cloud Computing Context. (2019)
Paul Moggridge,
Na Helian,
Yi Sun,
Mariana Lilley,
Vito Veneziano
and
Martin Eaves
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The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes. (2019)
Ed Wakelam,
Amanda Jefferies,
Neil Davey
and
Yi Sun
2018
Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis. (2018)
Ronakben Bhavsar,
Neil Davey,
Na Helian,
Yi Sun,
Tony Steffert
and
David Mayor
Time Series Analysis using Embedding Dimension on Heart Rate Variability. (2018)
Ronakben Bhavsar,
Neil Davey,
Na Helian,
Yi Sun,
Tony Steffert
and
David Mayor
Estimation of microphysical parameters of atmospheric pollution using machine learning. (2018)
C. Llerena,
D. Müller,
R. Adams,
N. Davey
and
Y. Sun
Model fitting for small skin permeability data sets: hyperparameter optimisation in Gaussian Process Regression. (2018)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Roderick Adams,
Simon C Wilkinson
and
Gary Patrick Moss
An Investigation of How Wavelet Transform can Affect the Correlation Performance of Biomedical Signals : The Correlation of EEG and HRV Frequency Bands in the frontal lobe of the brain. (2018)
Ronakben Bhavsar,
Neil Davey,
Yi Sun
and
Na Helian
The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance. (2018)
Ronakben Bhavsar,
Yi Sun,
Na Helian,
Neil Davey,
David Mayor
and
Tony Steffert
2015
The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems. (2015)
Edward Wakelam,
Amanda Jefferies,
N. Davey
and
Yi Sun
The application of machine learning to the modelling of percutaneous absorption: An overview and guide. (2015)
P. Ashrafi,
G. P. Moss,
S. C. Wilkinson,
N. Davey
and
Yi Sun
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The importance of hyperparameters selection within small datasets. (2015)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Roderick Adams,
Marc Brown,
Maria Prapopoulou
and
Gary Moss
2012
Mathematical modelling of percutaneous absorption. (2012)
Gary P. Moss,
Simon C. Wilkinson
and
Yi Sun
The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers. (2012)
Gary Moss,
A.J. Shah,
R.G. Adams,
N. Davey,
Y. Sun,
S.C. Wilkinson
and
W.J. Pugh
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An evaluation of the potential of linear and nonlinear skin permeation models for the prediction of experimentally measured percutaneous drug absorption. (2012)
Marc Brown,
Chi-Hian Lau,
Sian T. Lim,
Yi Sun,
N. Davey,
Gary P. Moss,
Seon-Hie Yoo
and
Christian De Muynck
2011
The application of stochastic machine learning methods in the prediction of skin penetration. (2011)
Y. Sun,
Marc Brown,
M. Prapopoulou,
N. Davey,
R. G. Adams
and
G. P. Moss
Effect of using varying negative examples in transcription factor binding site predictions. (2011)
Faisal Rezwan,
Yi Sun,
N. Davey,
Roderick Adams,
A.G. Rust
and
M. Robinson
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Further thoughts on precision. (2011)
D. Gray,
David Bowes,
N. Davey,
Yi Sun
and
B. Christianson
The misuse of the NASA metrics data program data sets for automated software defect prediction. (2011)
D. Gray,
David Bowes,
N. Davey,
Yi Sun
and
B. Christianson
picture_as_pdf
The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes. (2011)
Gary Moss,
Yi Sun,
Simon C. Wilkinson,
N. Davey,
Roderick Adams,
Gary P. Martin,
M. Prapopopolou
and
Marc Brown
2010
Photometric redshift estimation using Gaussian processes. (2010)
D. Bonfield,
Yi Sun,
N. Davey,
M.J. Jarvis,
F.B. Abdalla,
M. Banerji
and
R.G. Adams
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Predicting drug absorption rates through human skin. (2010)
Yi. Sun,
L.Y. Lam,
G.P. Moss,
M. Prapopoulou,
R.G. Adams,
N. Davey,
David Gray
and
Marc Brown
Software defect prediction using static code metrics underestimates defect-proneness. (2010)
David Gray,
David Bowes,
N. Davey,
Yi Sun
and
B. Christianson
Using randomised vectors in transcription factor binding site predictions. (2010)
F. Rezwan,
Yi. Sun,
N. Davey,
R.G. Adams,
A.G. Rust
and
M. Robinson
Correcting Errors in Optical Data Transmission Using Neural Networks. (2010)
S. Hunt,
Yi. Sun,
A. Shafarenko,
R.G. Adams,
N. Davey,
B. Slater,
R. Bhamber,
S. Boscolo
and
S.K. Turitsyn
The application of Gaussian processes in the prediction of absorption across mammalian skin and synthetic membranes. (2010)
Y. Sun,
M. Prapopoulou,
R. Adams,
N. Davey,
G. P. Moss
and
Marc Brown
2009
Integrating genomic binding site predictions using real-valued meta classifiers. (2009)
Yi. Sun,
M. Robinson,
R.G. Adams,
Paul H. Kaye,
R. Te Boekhorst,
A.G. Rust
and
N. Davey
Using pre and post-processing methods to improve binding site predictions. (2009)
Yi Sun,
C.G. Castellano,
M. Robinson,
R.G. Adams,
A.G. Rust
and
N. Davey
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The application of Gaussian processes in the prediction of percutaneous absorption. (2009)
Gary P. Moss,
Yi Sun,
Maria Prapopoulou,
N. Davey,
Roderick Adams,
W. John Pugh
and
Marc Brown
Adaptive electrical signal post-processing with varying representations in optical communication systems. (2009)
Stephen Hunt,
Yi Sun,
Alex Shafarenko,
Roderick Adams,
N. Davey,
Brendan Slater,
Ranjeet Bhamber,
Sonia Boscolo
and
Sergei K. Turitsyn
Using the support vector machine as a classification method for software defect prediction with static code metrics. (2009)
David Gray,
D. Bowes,
N. Davey,
Yi Sun
and
B. Christianson
2008
Adaptive Electrical Signal Post-Processing in Optical Communication Systems. (2008)
Yi. Sun,
A. Shafarenko,
R.G. Adams,
N. Davey,
B. Slater,
R. Bhamber,
S. Boscolo
and
S.K. Turitsyn
Combining experts in order to identify binding sites in genomic data. (2008)
F. Rezwan,
Yi. Sun,
M. Robinson,
R.G. Adams,
A.G. Rust
and
N. Davey
Combining experts in order to identify binding sites in yeast and mouse genomic data. (2008)
M. Robinson,
C. Gonzalez Castellano,
F. Rezwan,
R.G. Adams,
N. Davey,
A.G. Rust
and
Yi. Sun
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. (2008)
Yi. Sun,
M. Robinson,
R.G. Adams,
A.G. Rust
and
N. Davey
2007
Comparing the performance of single-layer and two-layer support vector machines on face detection. (2007)
J.W. Han,
P.C.R. Lane,
N. Davey
and
Yi. Sun
Identifying binding sites in sequential genomic data. (2007)
M. Robinson,
C. Gonzalez Castellano,
R.G. Adams,
N. Davey
and
Yi. Sun
Using real-valued meta classifiers to integrate and contextualize binding site predictions. (2007)
M. Robinson,
O. Sharabi,
Yi. Sun,
R.G. Adams,
R. Te Boekhorst,
A.G. Rust
and
N. Davey
Word Segmentation of Handwritten Text Using Supervised Classification Techniques. (2007)
Yi. Sun,
T. Butler,
A. Shafarenko,
R.G. Adams,
M.J. Loomes
and
N. Davey
Predicting Binding Sites in the Mouse Genome. (2007)
Yi. Sun,
M. Robinson,
R.G. Adams,
N. Davey
and
A.G. Rust
