Author
Number of items: 72.
Vision-Based Human Fall Detection Using 3D Neural Networks. (2025)
Say Meng Toh,
Na Helian,
Kudiwa Pasipamire,
Yi Sun
and
Tony Pasipamire
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
On Instance Weighted Clustering Ensembles. (2023)
Paul Moggridge,
Na Helian,
Yi Sun
and
Mariana Lilley
An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. (2023)
Ibrahim AlShourbaji,
Na Helian
and
Yi Sun
Deep Learning for Condition Detection in Chest Radiographs: A Performance Comparison of Different Radiograph Views and Handling of Uncertain Labels. (2023)
Mubashir Ahmad,
Kheng Koay,
Yi Sun,
Vijay Jayaram,
Ganesh Arunachalam
and
Farshid Amirabdollahian
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
Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction. (2021)
Ibrahim AlShourbaji,
Na Helian,
Yi Sun
and
Mohammed Alhameed
Customer Churn Prediction in Telecom Sector: A Survey and way a head. (2021)
Ibrahim AlShourbaji,
Na Helian,
Yi Sun
and
Mohammed Alhameed
Development of a Gaussian Process – Feature Selection Model to Characterise (poly)dimethylsiloxane (Silastic®) Membrane Permeation. (2020)
Yi Sun,
Mark Hewitt,
Simon C Wilkinson,
Neil Davey,
Roderick Adams,
Darren Gullick
and
Gary Moss
Instance Weighted Clustering: Local Outlier Factor and K-Means. (2020)
Paul Moggridge,
Na Helian,
Yi Sun,
Mariana Lilley
and
Vito Veneziano
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
Improving the MXFT Scheduling Algorithm for a Cloud Computing Context. (2019)
Paul Moggridge,
Na Helian,
Yi Sun,
Mariana Lilley,
Vito Veneziano
and
Martin Eaves
The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes. (2019)
Ed Wakelam,
Amanda Jefferies,
Neil Davey
and
Yi Sun
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
Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data. (2017)
Emmanuel Oluwatobi Salawu,
Evelyn Hesse,
Chris Stopford,
Neil Davey
and
Yi Sun
An automatic taxonomy of galaxy morphology using unsupervised machine learning. (2017)
Alex Hocking,
James E. Geach,
Yi Sun
and
Neil Davey
Revising Max-min for Scheduling in a Cloud Computing Context. (2017)
Paul Moggridge,
Na Helian,
Yi Sun,
Mariana Lilley,
Vito Veneziano
and
Martin Eaves
The Mining and Analysis of Data with Mixed Attribute Types. (2016)
Ed Wakelam,
Neil Davey,
Yi Sun,
Amanda Jefferies,
Parimala Alva
and
Alex Hocking
Support vector regression to estimate the permeability enhancement of potential transdermal enhancers. (2016)
Alpa Shah,
Yi Sun,
Roderick Adams,
Neil Davey,
Simon Charles Wilkinson
and
Gary Patrick Joseph Moss
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
Some code smells have a significant but small effect on faults. (2014)
Tracy Hall,
Min Zhang,
David Bowes
and
Yi Sun
Linear Support Vector Machines for Error Correction in Optical Data Transmission. (2013)
A. Metaxas,
A. Redyuk,
Yi Sun,
Alex Shafarenko,
N. Davey
and
Roderick Adams
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
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
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
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
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
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
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
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
Using Feature Selection Filtering Methods for Binding Site Predictions. (2006)
Yi. Sun,
M. Robinson,
R.G. Adams,
R. Te Boekhorst,
A.G. Rust
and
N. Davey
Using sampling methods to improve binding site predictions. (2006)
Yi. Sun,
M. Robinson,
R.G. Adams,
R. Te Boekhorst,
A.G. Rust
and
N. Davey
Comparing computational and human measures of visual similarity. (2005)
T.M. Gale,
Yi. Sun,
R.G. Adams
and
N. Davey
Using real-valued metaclassifiers to integrate binding site predictions. (2005)
Yi Sun,
M. Robinson,
Roderick Adams,
Paul H. Kaye,
A.G. Rust
and
N. Davey
Identifying word boundaries in handwritten text. (2004)
Yi. Sun,
T. Butler,
A. Shafarenko,
M.J. Loomes,
R.G. Adams
and
N. Davey
Segmenting hand written text using supervised classification techniques. (2004)
Yi. Sun,
T. Butler,
A. Shafarenko,
M.J. Loomes,
R.G. Adams
and
N. Davey
Semi-supervised construction of general visualization hierarchies. (2002)
P. Tino,
Yi. Sun
and
I. Nabney
Visualization of incomplete data using class information constraints. (2002)
Yi. Sun,
P. Tino
and
I. Nabney
Using directional curvatures to visualize folding patterns of the GTM projection manifolds. (2001)
P. Tino,
I. Nabney
and
Yi. Sun
A principled approach to interactive hierarchical non-linear visualization of high-dimensional data. (2001)
P. Tino,
I. Nabney,
Yi. Sun
and
B.S. Williams
The importance of hyperparameters selection within small datasets. (2015)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Roderick Adams,
Marc Brown,
Maria Prapopoulou
and
Gary Moss
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 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
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
Predicting Binding Sites in the Mouse Genome. (2007)
Yi. Sun,
M. Robinson,
R.G. Adams,
N. Davey
and
A.G. Rust
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
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
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
