Yi Sun

According to our database, Yi Sun authored at least 56 papers between 2001 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Sentiment Analysis using BLSTM-ResNet on Textual Images.

Harpreet Singh, Na Helian, Roderick Adams, Yi Sun

Proceedings of the International Joint Conference on Neural Networks, 2022

A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition.

Shreyah Iyer, Cornelius Glackin, Nigel Cannings, Vito Veneziano, Yi Sun

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction.

Ibrahim AlShourbaji, Na Helian, Yi Sun, Mohammed Alhameed

SN Comput. Sci., 2021

2020

The potential for student performance prediction in small cohorts with minimal available attributes.

Edward Wakelam, Amanda Jefferies, Neil Davey, Yi Sun

Br. J. Educ. Technol., 2020

Instance Weighted Clustering: Local Outlier Factor and K-Means.

Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019

Improving the MXFT scheduling algorithm for a cloud computing context.

Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano, Martin Eaves

Int. J. Grid Util. Comput., 2019

2018

Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning.

Cosme Llerena, Detlef Müller, Roderick Adams, Neil Davey, Yi Sun

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 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, Na Helian

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis.

Ronakben Bhavsar, Na Helian, Yi Sun, Neil Davey, Tony Steffert, David Mayor

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

Time Series Analysis using Embedding Dimension on Heart Rate Variability.

Ronakben Bhavsar, Neil Davey, Na Helian, Yi Sun, Tony Steffert, David Mayor

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

2017

Revising Max-Min for Scheduling in a Cloud Computing Context.

Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano, Martin Eaves

Proceedings of the 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017

Mining Hubble Space Telescope images.

Alex Hocking, Yi Sun, James E. Geach, Neil Davey

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Error Correction over Optical Transmission.

Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Investigating optical transmission error correction using wavelet transforms.

Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance.

Ronakben Bhavsar, Yi Sun, Na Helian, Neil Davey, David Mayor, Tony Steffert

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

2016

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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

The importance of hyperparameters selection within small datasets.

Parivash Ashrafi, Yi Sun, Neil Davey, Rod Adams, Marc B. Brown, Maria Prapopoulou, Gary P. Moss

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Some Code Smells Have a Significant but Small Effect on Faults.

Tracy Hall, Min Zhang, David Bowes, Yi Sun

ACM Trans. Softw. Eng. Methodol., 2014

Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes.

Weam M. Binjumah, Yi Sun, Mark Hewitt, Rod Adams, Neil Davey, Darren R. Gullick, Simon C. Wilkinson, Mark T. D. Cronin, Gary P. Moss

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2013

Linear Support Vector Machines for Error Correction in Optical Data Transmission.

Alex Metaxas, Alexei Redyuk, Yi Sun, Alexander V. Shafarenko, Neil Davey, Rod Adams

Proceedings of the Adaptive and Natural Computing Algorithms, 2013

2012

Reflections on the NASA MDP data sets.

David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson

IET Softw., 2012

The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes.

Yi Sun, Rod Adams, Neil Davey, Gary P. Moss, Maria Prapopopolou, Marc B. Brown, Gary P. Martin, Simon C. Wilkinson

Artif. Intell. Res., 2012

Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Information Processign in Cells and Tissues, 2012

The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes.

Yi Sun, Marc B. Brown, Maria Prapopoulou, Rod Adams, Neil Davey, Gary P. Moss

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers.

Alpa Shah, Gary P. Moss, Yi Sun, Rod Adams, Neil Davey, Simon C. Wilkinson

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Engineering Applications of Neural Networks, 2012

2011

The application of stochastic machine learning methods in the prediction of skin penetration.

Yi Sun, Marc B. Brown, Maria Prapopoulou, Neil Davey, Rod Adams, Gary P. Moss

Appl. Soft Comput., 2011

Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

Further thoughts on precision.

David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson

Proceedings of the 15th International Conference on Evaluation & Assessment in Software Engineering, 2011

The misuse of the NASA metrics data program data sets for automated software defect prediction.

David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson

Proceedings of the 15th International Conference on Evaluation & Assessment in Software Engineering, 2011

2010

Predicting drug absorption rates through human skin.

Yi Sun, Lun Tak Lam, Gary P. Moss, Maria Prapopoulou, Rod Adams, Neil Davey, David Gray, Marc B. Brown

Proceedings of the International Joint Conference on Neural Networks, 2010

Software defect prediction using static code metrics underestimates defect-proneness.

David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson

Proceedings of the International Joint Conference on Neural Networks, 2010

Using Randomised Vectors in Transcription Factor Binding Site Predictions.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Correcting Errors in Optical Data Transmission Using Neural Networks.

Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn

Proceedings of the Artificial Neural Networks, 2010

The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes.

Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Using pre & post-processing methods to improve binding site predictions.

Yi Sun, Cristina González Castellano, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey

Pattern Recognit., 2009

Integrating genomic binding site predictions using real-valued meta classifiers.

Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Neural Comput. Appl., 2009

Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems.

Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn

Proceedings of the Engineering Applications of Neural Networks, 2009

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, Bruce Christianson

Proceedings of the Engineering Applications of Neural Networks, 2009

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

Neural Networks, 2008

Prediction of Skin Penetration Using Machine Learning Methods.

Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines.

Yi Sun, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey

Proceedings of the Artificial Neural Networks, 2008

2007

Word segmentation of handwritten text using supervised classification techniques.

Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey

Appl. Soft Comput., 2007

Predicting Binding Sites in the Mouse Genome.

Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions.

Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Identifying Binding Sites in Sequential Genomic Data.

Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun

Proceedings of the Artificial Neural Networks, 2007

2006

Improving Computational Predictions of Cis- Regulatory Binding Sites.

Mark Robinson, Yi Sun, Rene te Boekhorst, Paul Kaye, Rod Adams, Neil Davey, Alistair G. Rust

Proceedings of the Biocomputing 2006, 2006

Using sampling methods to improve binding site predictions.

Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Using Feature Selection Filtering Methods for Binding Site Predictions.

Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005

Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization.

Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán

IEEE Trans. Knowl. Data Eng., 2005

2004

Nonlinear Prediction of Quantitative Structure-Activity Relationships.

Peter Tiño, Ian T. Nabney, Bruce S. Williams, Jens Lösel, Yi Sun

J. Chem. Inf. Model., 2004

A generative probabilistic approach to visualizing sets of symbolic sequences.

Peter Tiño, Ata Kabán, Yi Sun

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Identifying word boundaries in handwrittem text.

Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Integrating Binding Site Predictions Using Non-linear Classification Methods.

Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey

Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2002

Non-linear hierarchical visualisation.

Yi Sun

PhD thesis, 2002

2001

Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds.

Peter Tiño, Ian T. Nabney, Yi Sun

Proceedings of the Artificial Neural Networks, 2001