Yi Sun - RankMe

64 papers A* 2A 2B 13C 10Misc 1Journal 14Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	OccuTriage: An AI Agent Orchestration Framework for Occupational Health Triage Prediction. ACL (6) Alok Kumar Sahu, Yi Sun, Eamonn Swanton, Farshid Amirabdollahian, Abi Wren
2025	J	`jnl`	Unraveling Player's Insights: A Comparative Analysis of Topic Modeling Techniques on Game Reviews and Video Game Developers' Perspectives. IEEE Trans. Games Xinge Tong, Ian Willcock, Yi Sun
2024	—	`conf`	Investigating HuBERT-Based Speech Emotion Recognition Generalisation Capability. ICAISC (1) Letian Li, Cornelius Glackin, Nigel Cannings, Vito Veneziano, Jack Barker, Olakunle Oduola, Chris Woodruff, Thea Laird, James Laird, Yi Sun
2024	—	`conf`	Using BERT to Generate Contextualised Textual Images for Sentiment Analysis. ICAISC (1) Harpreet Singh, Na Helian, Rod Adams, Yi Sun
2024	—	`conf`	Vision-Based Human Fall Detection Using 3D Neural Networks. SGAI Conf. (2) Say Meng Toh, Na Helian, Kudiwa Pasipamire, Yi Sun, Tony Pasipamire
2023	B	`conf`	On Instance Weighted Clustering Ensembles. ESANN Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley
2022	B	`conf`	A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition. IJCNN Shreyah Iyer, Cornelius Glackin, Nigel Cannings, Vito Veneziano, Yi Sun
2022	B	`conf`	Sentiment Analysis using BLSTM-ResNet on Textual Images. IJCNN Harpreet Singh, Na Helian, Rod Adams, Yi Sun
2021	J	`jnl`	Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction. SN Comput. Sci. Ibrahim AlShourbaji, Na Helian, Yi Sun, Mohammed Hameed Alhameed
2020	C	`conf`	Instance Weighted Clustering: Local Outlier Factor and K-Means. EANN Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano
2020	J	`jnl`	The potential for student performance prediction in small cohorts with minimal available attributes. Br. J. Educ. Technol. Edward Wakelam, Amanda Jefferies, Neil Davey, Yi Sun
2019	J	`jnl`	Improving the MXFT scheduling algorithm for a cloud computing context. Int. J. Grid Util. Comput. Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano, Martin Eaves
2018	—	`conf`	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 Ronakben Bhavsar, Neil Davey, Yi Sun, Na Helian
2018	—	`conf`	Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis. BICA Ronakben Bhavsar, Na Helian, Yi Sun, Neil Davey, Tony Steffert, David Mayor
2018	—	`conf`	Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning. ICANN (1) Cosme Llerena, Detlef Müller, Rod Adams, Neil Davey, Yi Sun
2018	—	`conf`	Time Series Analysis using Embedding Dimension on Heart Rate Variability. BICA Ronakben Bhavsar, Neil Davey, Na Helian, Yi Sun, Tony Steffert, David Mayor
2017	C	`conf`	Error Correction over Optical Transmission. ICPRAM Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
2017	B	`conf`	Investigating optical transmission error correction using wavelet transforms. ESANN Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
2017	B	`conf`	Mining Hubble Space Telescope images. IJCNN Alex Hocking, Yi Sun, James E. Geach, Neil Davey
2017	C	`conf`	Revising Max-Min for Scheduling in a Cloud Computing Context. WETICE Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano, Martin Eaves
2017	—	`conf`	The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance. BICA Ronakben Bhavsar, Yi Sun, Na Helian, Neil Davey, David Mayor, Tony Steffert
2016	—	`conf`	Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns. ICANN (2) Daniel Priori, Giseli de Sousa, Mauro Roisenberg, Christopher Stopford, Evelyn Hesse, Emmanuel Salawu, Neil Davey, Yi Sun
2015	B	`conf`	The importance of hyperparameters selection within small datasets. IJCNN Parivash Ashrafi, Yi Sun, Neil Davey, Rod Adams, Marc B. Brown, Maria Prapopoulou, Gary P. Moss
2014	B	`conf`	Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes. ICTAI Weam M. Binjumah, Yi Sun, Mark Hewitt, Rod Adams, Neil Davey, Darren R. Gullick, Simon C. Wilkinson, Mark T. D. Cronin, Gary P. Moss
2014	J	`jnl`	Some Code Smells Have a Significant but Small Effect on Faults. ACM Trans. Softw. Eng. Methodol. Tracy Hall, Min Zhang, David Bowes, Yi Sun
2013	—	`conf`	Linear Support Vector Machines for Error Correction in Optical Data Transmission. ICANNGA Alex Metaxas, Alexei Redyuk, Yi Sun, Alexander V. Shafarenko, Neil Davey, Rod Adams
2012	—	`conf`	Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples. IPCAT Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2012	J	`jnl`	Reflections on the NASA MDP data sets. IET Softw. David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
2012	—	`conf`	The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes. ICANN (2) Yi Sun, Marc B. Brown, Maria Prapopoulou, Rod Adams, Neil Davey, Gary P. Moss
2012	J	`jnl`	The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes. Artif. Intell. Res. Yi Sun, Rod Adams, Neil Davey, Gary P. Moss, Maria Prapopopolou, Marc B. Brown, Gary P. Martin, Simon C. Wilkinson
2012	C	`conf`	Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites. EANN Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2012	—	`conf`	Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers. ICANN (2) Alpa Shah, Gary P. Moss, Yi Sun, Rod Adams, Neil Davey, Simon C. Wilkinson
2011	—	`conf`	Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions. EvoBio Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2011	A	`conf`	Further thoughts on precision. EASE David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
2011	J	`jnl`	The application of stochastic machine learning methods in the prediction of skin penetration. Appl. Soft Comput. Yi Sun, Marc B. Brown, Maria Prapopoulou, Neil Davey, Rod Adams, Gary P. Moss
2011	A	`conf`	The misuse of the NASA metrics data program data sets for automated software defect prediction. EASE David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
2010	—	`conf`	Correcting Errors in Optical Data Transmission Using Neural Networks. ICANN (2) Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn
2010	B	`conf`	Predicting drug absorption rates through human skin. IJCNN Yi Sun, Lun Tak Lam, Gary P. Moss, Maria Prapopoulou, Rod Adams, Neil Davey, David Gray, Marc B. Brown
2010	B	`conf`	Software defect prediction using static code metrics underestimates defect-proneness. IJCNN David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
2010	B	`conf`	The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes. ESANN Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
2010	C	`conf`	Using Randomised Vectors in Transcription Factor Binding Site Predictions. ICMLA Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2009	C	`conf`	Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems. EANN Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn
2009	J	`jnl`	Integrating genomic binding site predictions using real-valued meta classifiers. Neural Comput. Appl. Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2009	J	`jnl`	Using pre & post-processing methods to improve binding site predictions. Pattern Recognit. Yi Sun, Cristina González Castellano, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
2009	C	`conf`	Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics. EANN David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
2008	J	`jnl`	Combining experts in order to identify binding sites in yeast and mouse genomic data. Neural Networks Mark Robinson, Cristina González Castellano, Faisal Ibne Rezwan, Rod Adams, Neil Davey, Alistair G. Rust, Yi Sun
2008	—	`conf`	Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. ICANN (2) Yi Sun, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
2008	A*	`conf`	Prediction of Skin Penetration Using Machine Learning Methods. ICDM Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
2007	—	`conf`	Identifying Binding Sites in Sequential Genomic Data. ICANN (2) Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun
2007	C	`conf`	Predicting Binding Sites in the Mouse Genome. ICMLA Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust
2007	—	`conf`	Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions. ICANNGA (1) Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2007	J	`jnl`	Word segmentation of handwritten text using supervised classification techniques. Appl. Soft Comput. Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
2006	Misc	`conf`	Improving Computational Predictions of Cis- Regulatory Binding Sites. Pacific Symposium on Biocomputing Mark Robinson, Yi Sun, Rene te Boekhorst, Paul Kaye, Rod Adams, Neil Davey, Alistair G. Rust
2006	—	`conf`	Using Feature Selection Filtering Methods for Binding Site Predictions. IEEE ICCI Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2006	B	`conf`	Using sampling methods to improve binding site predictions. ESANN Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2005	J	`jnl`	Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. IEEE Trans. Knowl. Data Eng. Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán
2005	B	`conf`	Using real-valued meta classifiers to integrate binding site predictions. IJCNN Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey
2004	A*	`conf`	A generative probabilistic approach to visualizing sets of symbolic sequences. KDD Peter Tiño, Ata Kabán, Yi Sun
2004	C	`conf`	Identifying word boundaries in handwrittem text. ICMLA Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
2004	—	`conf`	Integrating Binding Site Predictions Using Non-linear Classification Methods. Deterministic and Statistical Methods in Machine Learning Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey
2004	J	`jnl`	Nonlinear Prediction of Quantitative Structure-Activity Relationships. J. Chem. Inf. Model. Peter Tiño, Ian T. Nabney, Bruce S. Williams, Jens Lösel, Yi Sun
2004	B	`conf`	Segmenting handwritten text using supervised classification techniques. IJCNN Yi Sun, Timothy S. Butler, Alex Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
2002	—	`—`	Non-linear hierarchical visualisation. Yi Sun
2001	C	`conf`	Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds. ICANN Peter Tiño, Ian T. Nabney, Yi Sun