Items where Author is "Sun, Yi"

Item Type No Grouping

Article

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

An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. (2023) Ibrahim AlShourbaji, Na Helian 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

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

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

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

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 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

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

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

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

The application of feature selection to the development of Gaussian process models for percutaneous absorption. (2010) L.T. Lam, Yi Sun, N. Davey, Roderick Adams, M. Prapopoulou, Marc Brown and Gary Moss

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 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

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

Monograph

Further thoughts on precision. (2011) D. Gray, David Bowes, Neil Davey, Yi Sun and B. Christianson

Conference or Workshop Item

Attention mechanisms and component-based face detection. (2009) J.W. Han, P.C.R. Lane, N. Davey and Yi Sun

Using Simple Neural Networks to Correct Errors in Optical Data Transmission. (2008) S. Hunt, Yi Sun, A. Shafarenko, N. Davey, S. Boscolo and S.K. Turitsyn

Book

Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference 2022. (2022) Daerefa-a Amafabia, Laurel Asimea, John Bally, Anthony Baran, Adam Boies, Amirhossein Borjali, Chloe Bosomworth, Ben Burningham, Napoleana-Anna Chaliasou, Yong Kang CHEN, Yuen Ki Cheong, Mahmoud Chizari, Etelka Chung, Kristen Coppin, Opukuro David-West, Nik Dennler, Hom Dhakal, Nikolay Dimov, Emil Dmitruk, Allen Donald, Damien Drix, Sergio A. Dzib, Mahmoud Eltaweel, Sajid Fadlelseed, Atena Farahani, Adrian Felix, Tim Foat, Jan Forbrich, Maximilien Franco, Joesphine Gaarn, Tracy Garratt, Jim Geach, Narges Ghias, Adrian Ghita, Niccolo Giannetti, Jaime Vargas-Gonzalez, Richard Greenaway, George Haritos, Sara Hatami, David Haydock, Na Helian, Mohammad Reza Herfatmanesh, Jean-Baptiste Herve, Evelyn Hesse, Hossein Korani, Vahid Hosseini, Wei Hu, Thomas Hubbard, Jameel Inal, Patrick Irigo, Sikiru O. Ismail, Fiona Jepleting, Wei Ji, Ian Johnston, Gbanaibolou Jombo, Shabnam Kadir, Christos Kalyvas, Syed Muhammad Kamran, Antonios Kanellopoulos, Aklil Zenebe Kiflay, Raimund Kirner, Kerry Knox, Chiaki Kobayashi, Dhirendra Kumar, Ritesh Kumar, Peter Lane, Himayasri Lekkala, Andrew Lewis, Liang Li, Qi Luo, Hossein Madani, Colin Mallet, Surya Maruthupandian, Elizabeth Reeja Mathen, Pavel Matousek, Simon McCool, James C. McGarry, Catherine Menon, Christoph Metzner, Rachael E. H. Miles, Hadi Moeinnia, Paul Moggridge, Mahdi Mohseni, Diogo Montalvão, Mohammad Najeeb Moraby, Darragh Murnane, Marc Norgate, Amir Nourani, Kumar Shantanu Prasad, Soodamani Ramalingam, Shavika Rastogi, Jonathan P. Reid, Guogang Ren, Victor M. Rivilla, Hossein Saidpour, Kiyoshi Saito, Seyed Amir Hossein Sajedi, Christoph Salge, Samadhi Samararatne, Michael Schmuker, Elif Sensoy, Ajay Shriram, Harpreet Singh, Yasser Sorouraddin, Volker Steuber, Nicholas Stone, Yi Sun, Roopesh Sureddi, Samuel Sutton, Peter Thomas, Andrew R Timms, P. R. Tiwari, Athanasios Tsokanos, Mansukhlal Vadalia, Muhammad Yaqoob, Muhamad Yulianto and Minghua Zheng

Proceedings of Abstracts Engineering and Computer Science Research Conference 2019. (2019) Richard Nwawe, Marzio Grasso, Yong Kang CHEN, Jan Klusak, Vincenzo Rosiello, Nathan Counsell, Mohammad Reza Herfatmanesh, Helen Partou, Catherine Menon, Trevor Barker, Vito Veneziano, Raimund Kirner, Olga Tveretina, Alok Verma, Peter Lane, Mariana Lilley, Paul Canoville, Matthew Robinson, Brian Crook, Samantha Hall, Richard Kaye, Ian Johnston, Daniel McCluskey, Mark Tracey, Ian Munro, Yuan Wang, Bjorn Suckow, Ingo Klaholz, Damien Drix, Verena Vanessa Hafner, Michael Schmuker, Ankur Sinha, Christoph Metzner, Neil Davey, Roderick Adams, Volker Steuber, Rebecca Miko, Gilles Toffe, Guogang Ren, Diogo Montalvão, Sikiru O. Ismail, James Newman, Hom Dhakal, Funlade Sunmola, Deepak Panday, Na Helian, Daerefa-a Amafabia, Opukuro David-West, George Haritos, Pascal Schirmer, Iosif Mporas, Grigorios Skaltsas, Rana Siadati, Paul Wernick, Samuel Sutton, Himayasri Rao Lekkala, Paul Sayers, Imran Khan, Lola Cañamero, Eheda Hassan, Mouloud Denai, Georgios Pissanidis, Julia Goncharenko, Maria Schilstra, Nathan Beka, Rene te Boekhorst, Agnes Bonivart, Chrystopher Nehaniv, Shabnam Kadir, Ronakben Bhavsar, Yi Sun, David Mayor, Tony Steffert, Yong Kang CHEN, Andreas Chrysanthou, Ian Johnston, Raimund Kirner, Pandelis Kourtessis, Daniel McCluskey, Daniel Polani, Volker Steuber and Yichuang Sun

Other

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

On Instance Weighted Clustering Ensembles. (2023) Paul Moggridge, Na Helian, Yi Sun and Mariana Lilley

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

Instance Weighted Clustering: Local Outlier Factor and K-Means. (2020) Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley and Vito Veneziano

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

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

Revising Max-min for Scheduling in a Cloud Computing Context. (2017) Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano and Martin Eaves

Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns. (2016) Priori, Giseli de Sousa, Mauro Roisenberg, Chris Stopford, Evelyn Hesse, Neil Davey and Yi Sun

The Mining and Analysis of Data with Mixed Attribute Types. (2016) Ed Wakelam, Neil Davey, Yi Sun, Amanda Jefferies, Parimala Alva and Alex Hocking

The importance of hyperparameters selection within small datasets. (2015) Parivash Ashrafi, Yi Sun, Neil Davey, Roderick Adams, Marc Brown, Maria Prapopoulou and Gary Moss

The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems. (2015) Edward Wakelam, Amanda Jefferies, N. Davey 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 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

Software defect prediction using static code metrics underestimates defect-proneness. (2010) David Gray, David Bowes, N. Davey, Yi Sun and B. Christianson

Prediction of skin penetration using machine learning methods. (2008) Yi Sun, Gary Moss, M. Prapopoulou, Roderick Adams, Marc Brown 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