Yi Sun

Publication Activity (10 Years)

Years Active: 2001-2022
Publications (10 Years): 17

Top Venues

IJCNN

BICA

ACM Trans. Softw. Eng. Methodol.

ICANNGA

Aston University, Birmingham, UK (PHD)

Education History

Aston University, Birmingham, UK

PHD

Publications

Harpreet Singh, Na Helian, Roderick Adams, Yi Sun
Sentiment Analysis using BLSTM-ResNet on Textual Images. IJCNN (2022)
Shreyah Iyer, Cornelius Glackin, Nigel Cannings, Vito Veneziano, Yi Sun
A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition. IJCNN (2022)
Ibrahim AlShourbaji, Na Helian, Yi Sun, Mohammed Alhameed
Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction. SN Comput. Sci. 2 (6) (2021)
Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano
Instance Weighted Clustering: Local Outlier Factor and K-Means. EANN (2020)
Edward Wakelam, Amanda Jefferies, Neil Davey, Yi Sun
The potential for student performance prediction in small cohorts with minimal available attributes. Br. J. Educ. Technol. 51 (2) (2020)
Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano, Martin Eaves
Improving the MXFT scheduling algorithm for a cloud computing context. Int. J. Grid Util. Comput. 10 (6) (2019)
Ronakben Bhavsar, Neil Davey, Yi Sun, Na Helian
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. BIOSIGNALS (2018)
Ronakben Bhavsar, Neil Davey, Na Helian, Yi Sun, Tony Steffert, David Mayor
Time Series Analysis using Embedding Dimension on Heart Rate Variability. BICA (2018)
Ronakben Bhavsar, Na Helian, Yi Sun, Neil Davey, Tony Steffert, David Mayor
Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis. BICA (2018)
Cosme Llerena, Detlef Müller, Roderick Adams, Neil Davey, Yi Sun
Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning. ICANN (1) (2018)
Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
Error Correction over Optical Transmission. ICPRAM (2017)
Ronakben Bhavsar, Yi Sun, Na Helian, Neil Davey, David Mayor, Tony Steffert
The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance. BICA (2017)
Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
Investigating optical transmission error correction using wavelet transforms. ESANN (2017)
Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano, Martin Eaves
Revising Max-Min for Scheduling in a Cloud Computing Context. WETICE (2017)
Alex Hocking, Yi Sun, James E. Geach, Neil Davey
Mining Hubble Space Telescope images. IJCNN (2017)
Daniel Priori, Giseli de Sousa, Mauro Roisenberg, Christopher Stopford, Evelyn Hesse, Emmanuel Salawu, Neil Davey, Yi Sun
Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns. ICANN (2) (2016)
Parivash Ashrafi, Yi Sun, Neil Davey, Rod Adams, Marc B. Brown, Maria Prapopoulou, Gary P. Moss
The importance of hyperparameters selection within small datasets. IJCNN (2015)
Weam M. Binjumah, Yi Sun, Mark Hewitt, Rod Adams, Neil Davey, Darren R. Gullick, Simon C. Wilkinson, Mark T. D. Cronin, Gary P. Moss
Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes. ICTAI (2014)
Tracy Hall, Min Zhang, David Bowes, Yi Sun
Some Code Smells Have a Significant but Small Effect on Faults. ACM Trans. Softw. Eng. Methodol. 23 (4) (2014)
Alex Metaxas, Alexei Redyuk, Yi Sun, Alexander V. Shafarenko, Neil Davey, Rod Adams
Linear Support Vector Machines for Error Correction in Optical Data Transmission. ICANNGA (2013)
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites. EANN (2012)
Yi Sun, Rod Adams, Neil Davey, Gary P. Moss, Maria Prapopopolou, Marc B. Brown, Gary P. Martin, Simon C. Wilkinson
The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes. Artif. Intell. Res. 1 (2) (2012)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Reflections on the NASA MDP data sets. IET Softw. 6 (6) (2012)
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples. IPCAT (2012)
Yi Sun, Marc B. Brown, Maria Prapopoulou, Rod Adams, Neil Davey, Gary P. Moss
The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes. ICANN (2) (2012)
Alpa Shah, Gary P. Moss, Yi Sun, Rod Adams, Neil Davey, Simon C. Wilkinson
Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers. ICANN (2) (2012)
Yi Sun, Marc B. Brown, Maria Prapopoulou, Neil Davey, Rod Adams, Gary P. Moss
The application of stochastic machine learning methods in the prediction of skin penetration. Appl. Soft Comput. 11 (2) (2011)
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions. EvoBio (2011)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
The misuse of the NASA metrics data program data sets for automated software defect prediction. EASE (2011)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Further thoughts on precision. EASE (2011)
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Using Randomised Vectors in Transcription Factor Binding Site Predictions. ICMLA (2010)
Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn
Correcting Errors in Optical Data Transmission Using Neural Networks. ICANN (2) (2010)
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes. ESANN (2010)
Yi Sun, Lun Tak Lam, Gary P. Moss, Maria Prapopoulou, Rod Adams, Neil Davey, David Gray, Marc B. Brown
Predicting drug absorption rates through human skin. IJCNN (2010)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Software defect prediction using static code metrics underestimates defect-proneness. IJCNN (2010)
Yi Sun, Cristina González Castellano, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
Using pre & post-processing methods to improve binding site predictions. Pattern Recognit. 42 (9) (2009)
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
Integrating genomic binding site predictions using real-valued meta classifiers. Neural Comput. Appl. 18 (6) (2009)
Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn
Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems. EANN (2009)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics. EANN (2009)
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
Prediction of Skin Penetration Using Machine Learning Methods. ICDM (2008)
Mark Robinson, Cristina González Castellano, Faisal Ibne Rezwan, Rod Adams, Neil Davey, Alistair G. Rust, Yi Sun
Combining experts in order to identify binding sites in yeast and mouse genomic data. Neural Networks 21 (6) (2008)
Yi Sun, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. ICANN (2) (2008)
Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
Word segmentation of handwritten text using supervised classification techniques. Appl. Soft Comput. 7 (1) (2007)
Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust
Predicting Binding Sites in the Mouse Genome. ICMLA (2007)
Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun
Identifying Binding Sites in Sequential Genomic Data. ICANN (2) (2007)
Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions. ICANNGA (1) (2007)
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
Using Feature Selection Filtering Methods for Binding Site Predictions. IEEE ICCI (2006)
Mark Robinson, Yi Sun, Rene te Boekhorst, Paul Kaye, Rod Adams, Neil Davey, Alistair G. Rust
Improving Computational Predictions of Cis- Regulatory Binding Sites. Pacific Symposium on Biocomputing (2006)
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
Using sampling methods to improve binding site predictions. ESANN (2006)
Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán
Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. IEEE Trans. Knowl. Data Eng. 17 (3) (2005)
Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey
Integrating Binding Site Predictions Using Non-linear Classification Methods. Deterministic and Statistical Methods in Machine Learning (2004)
Peter Tiño, Ata Kabán, Yi Sun
A generative probabilistic approach to visualizing sets of symbolic sequences. KDD (2004)
Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
Identifying word boundaries in handwrittem text. ICMLA (2004)
Peter Tiño, Ian T. Nabney, Bruce S. Williams, Jens Lösel, Yi Sun
Nonlinear Prediction of Quantitative Structure-Activity Relationships. J. Chem. Inf. Model. 44 (5) (2004)
Peter Tiño, Ian T. Nabney, Yi Sun
Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds. ICANN (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yi Sun