Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds. - Peter Tiño; Ian T. Nabney; Yi Sun 001 (ICANN, 2001)

Non-linear hierarchical visualisation. - Yi Sun 001 (2002)

Integrating Binding Site Predictions Using Non-linear Classification Methods. - Yi Sun 001; Mark Robinson; Rod Adams; Paul Kaye; Alistair G. Rust; Neil Davey (Deterministic and Statistical Methods in Machine Learning, 2004)

Identifying word boundaries in handwrittem text. - Yi Sun 001; Timothy S. Butler; Alexander V. Shafarenko; Rod Adams; Martin J. Loomes; Neil Davey (ICMLA, 2004)

Segmenting handwritten text using supervised classification techniques. - Yi Sun 001; Timothy S. Butler; Alex Shafarenko; Rod Adams; Martin J. Loomes; Neil Davey (IJCNN, 2004)

A generative probabilistic approach to visualizing sets of symbolic sequences. - Peter Tiño; Ata Kabán; Yi Sun 001 (KDD, 2004)

Nonlinear Prediction of Quantitative Structure-Activity Relationships. - Peter Tiño; Ian T. Nabney; Bruce S. Williams; Jens Lösel; Yi Sun 001 (J. Chem. Inf. Model., 2004)

Using real-valued meta classifiers to integrate binding site predictions. - Yi Sun 001; Mark Robinson; Rod Adams; Paul Kaye; Alistair G. Rust; Neil Davey (IJCNN, 2005)

Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. - Ian T. Nabney; Yi Sun 001; Peter Tiño; Ata Kabán (IEEE Trans. Knowl. Data Eng., 2005)

Using Feature Selection Filtering Methods for Binding Site Predictions. - Yi Sun 001; Mark Robinson; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (IEEE ICCI, 2006)

Using sampling methods to improve binding site predictions. - Yi Sun 001; Mark Robinson; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (ESANN, 2006)

Improving Computational Predictions of Cis- Regulatory Binding Sites. - Mark Robinson; Yi Sun 001; Rene te Boekhorst; Paul Kaye; Rod Adams; Neil Davey; Alistair G. Rust (Pacific Symposium on Biocomputing, 2006)

Identifying Binding Sites in Sequential Genomic Data. - Mark Robinson; Cristina González Castellano; Rod Adams; Neil Davey; Yi Sun 001 (ICANN (2), 2007)

Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions. - Mark Robinson; Offer Sharabi; Yi Sun 001; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (ICANNGA (1), 2007)

Predicting Binding Sites in the Mouse Genome. - Yi Sun 001; Mark Robinson; Rod Adams; Neil Davey; Alistair G. Rust (ICMLA, 2007)

Word segmentation of handwritten text using supervised classification techniques. - Yi Sun 001; Timothy S. Butler; Alexander V. Shafarenko; Rod Adams; Martin J. Loomes; Neil Davey (Appl. Soft Comput., 2007)

Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. - Yi Sun 001; Mark Robinson; Rod Adams; Alistair G. Rust; Neil Davey (ICANN (2), 2008)

Prediction of Skin Penetration Using Machine Learning Methods. - Yi Sun 001; Gary P. Moss; Maria Prapopoulou; Rod Adams; Marc B. Brown; Neil Davey (ICDM, 2008)

Combining experts in order to identify binding sites in yeast and mouse genomic data. - Mark Robinson; Cristina González Castellano; Faisal Ibne Rezwan; Rod Adams; Neil Davey; Alistair G. Rust; Yi Sun 001 (Neural Networks, 2008)

Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics. - David Gray; David Bowes; Neil Davey; Yi Sun 001; Bruce Christianson (EANN, 2009)

Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems. - Stephen P. Hunt; Yi Sun 001; Alexander V. Shafarenko; Rod Adams; Neil Davey; Brendan Slater; Ranjeet S. Bhamber; Sonia K. Boscolo; Sergei K. Turitsyn (EANN, 2009)

Integrating genomic binding site predictions using real-valued meta classifiers. - Yi Sun 001; Mark Robinson; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (Neural Comput. Appl., 2009)

Using pre & post-processing methods to improve binding site predictions. - Yi Sun 001; Cristina González Castellano; Mark Robinson; Rod Adams; Alistair G. Rust; Neil Davey (Pattern Recognit., 2009)

The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes. - Yi Sun 001; Gary P. Moss; Maria Prapopoulou; Rod Adams; Marc B. Brown; Neil Davey (ESANN, 2010)

Correcting Errors in Optical Data Transmission Using Neural Networks. - Stephen P. Hunt; Yi Sun 001; Alexander V. Shafarenko; Rod Adams; Neil Davey; Brendan Slater; Ranjeet S. Bhamber; Sonia K. Boscolo; Sergei K. Turitsyn (ICANN (2), 2010)

Using Randomised Vectors in Transcription Factor Binding Site Predictions. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (ICMLA, 2010)

Software defect prediction using static code metrics underestimates defect-proneness. - David Gray; David Bowes; Neil Davey; Yi Sun 001; Bruce Christianson (IJCNN, 2010)

Predicting drug absorption rates through human skin. - Yi Sun 001; Lun Tak Lam; Gary P. Moss; Maria Prapopoulou; Rod Adams; Neil Davey; David Gray; Marc B. Brown (IJCNN, 2010)

The misuse of the NASA metrics data program data sets for automated software defect prediction. - David Gray; David Bowes; Neil Davey; Yi Sun 001; Bruce Christianson (EASE, 2011)

Further thoughts on precision. - David Gray; David Bowes; Neil Davey; Yi Sun 001; Bruce Christianson (EASE, 2011)

Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (EvoBio, 2011)

The application of stochastic machine learning methods in the prediction of skin penetration. - Yi Sun 001; Marc B. Brown; Maria Prapopoulou; Neil Davey; Rod Adams; Gary P. Moss (Appl. Soft Comput., 2011)

Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (EANN, 2012)

Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers. - Alpa Shah; Gary P. Moss; Yi Sun 001; Rod Adams; Neil Davey; Simon C. Wilkinson (ICANN (2), 2012)

The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes. - Yi Sun 001; Marc B. Brown; Maria Prapopoulou; Rod Adams; Neil Davey; Gary P. Moss (ICANN (2), 2012)

Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (IPCAT, 2012)

The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes. - Yi Sun 001; Rod Adams; Neil Davey; Gary P. Moss; Maria Prapopopolou; Marc B. Brown; Gary P. Martin; Simon C. Wilkinson (Artif. Intell. Res., 2012)

Reflections on the NASA MDP data sets. - David Gray; David Bowes; Neil Davey; Yi Sun 001; Bruce Christianson (IET Softw., 2012)

Linear Support Vector Machines for Error Correction in Optical Data Transmission. - Alex Metaxas; Alexei Redyuk; Yi Sun 001; Alexander V. Shafarenko; Neil Davey; Rod Adams (ICANNGA, 2013)

Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes. - Weam M. Binjumah; Yi Sun 001; Mark Hewitt; Rod Adams; Neil Davey; Darren R. Gullick; Simon C. Wilkinson; Mark T. D. Cronin; Gary P. Moss (ICTAI, 2014)

Some Code Smells Have a Significant but Small Effect on Faults. - Tracy Hall; Min Zhang 008; David Bowes; Yi Sun 001 (ACM Trans. Softw. Eng. Methodol., 2014)

The importance of hyperparameters selection within small datasets. - Parivash Ashrafi; Yi Sun 001; Neil Davey; Rod Adams; Marc B. Brown; Maria Prapopoulou; Gary P. Moss (IJCNN, 2015)

Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns. - Daniel Priori; Giseli de Sousa; Mauro Roisenberg; Christopher Stopford; Evelyn Hesse; Emmanuel Salawu; Neil Davey; Yi Sun 001 (ICANN (2), 2016)

The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance. - Ronakben Bhavsar; Yi Sun 001; Na Helian; Neil Davey; David Mayor; Tony Steffert (BICA, 2017)

Investigating optical transmission error correction using wavelet transforms. - Weam M. Binjumah; Alexey Redyuk; Rod Adams; Neil Davey; Yi Sun 001 (ESANN, 2017)

Error Correction over Optical Transmission. - Weam M. Binjumah; Alexey Redyuk; Rod Adams; Neil Davey; Yi Sun 001 (ICPRAM, 2017)

Mining Hubble Space Telescope images. - Alex Hocking; Yi Sun 001; James E. Geach; Neil Davey (IJCNN, 2017)

Revising Max-Min for Scheduling in a Cloud Computing Context. - Paul Moggridge; Na Helian; Yi Sun 001; Mariana Lilley; Vito Veneziano; Martin Eaves (WETICE, 2017)

Time Series Analysis using Embedding Dimension on Heart Rate Variability. - Ronakben Bhavsar; Neil Davey; Na Helian; Yi Sun 001; Tony Steffert; David Mayor (BICA, 2018)

Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis. - Ronakben Bhavsar; Na Helian; Yi Sun 001; Neil Davey; Tony Steffert; David Mayor (BICA, 2018)

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. - Ronakben Bhavsar; Neil Davey; Yi Sun 001; Na Helian (BIOSIGNALS, 2018)

Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning. - Cosme Llerena; Detlef Müller; Rod Adams; Neil Davey; Yi Sun 001 (ICANN (1), 2018)

Improving the MXFT scheduling algorithm for a cloud computing context. - Paul Moggridge; Na Helian; Yi Sun 001; Mariana Lilley; Vito Veneziano; Martin Eaves (Int. J. Grid Util. Comput., 2019)

Instance Weighted Clustering: Local Outlier Factor and K-Means. - Paul Moggridge; Na Helian; Yi Sun 001; Mariana Lilley; Vito Veneziano (EANN, 2020)

The potential for student performance prediction in small cohorts with minimal available attributes. - Edward Wakelam; Amanda Jefferies; Neil Davey; Yi Sun 001 (Br. J. Educ. Technol., 2020)

Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction. - Ibrahim AlShourbaji; Na Helian; Yi Sun 001; Mohammed Hameed Alhameed (SN Comput. Sci., 2021)

A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition. - Shreyah Iyer; Cornelius Glackin; Nigel Cannings; Vito Veneziano; Yi Sun 001 (IJCNN, 2022)

Sentiment Analysis using BLSTM-ResNet on Textual Images. - Harpreet Singh; Na Helian; Rod Adams; Yi Sun 001 (IJCNN, 2022)

On Instance Weighted Clustering Ensembles. - Paul Moggridge; Na Helian; Yi Sun 001; Mariana Lilley (ESANN, 2023)

Investigating HuBERT-Based Speech Emotion Recognition Generalisation Capability. - Letian Li; Cornelius Glackin; Nigel Cannings; Vito Veneziano; Jack Barker; Olakunle Oduola; Chris Woodruff; Thea Laird; James Laird; Yi Sun 001 (ICAISC (1), 2024)

Using BERT to Generate Contextualised Textual Images for Sentiment Analysis. - Harpreet Singh; Na Helian; Rod Adams; Yi Sun 001 (ICAISC (1), 2024)