| 2012 | CEC | Comparative study of visualisation methods for temporal data. | Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe |
| 2011 | CIS | Reinforcement Learning for the N-Persons Iterated Prisoners' Dilemma. | Juan Enrique Agudo, Colin Fyfe |
| 2011 | CIS | Minimal Echo State Networks for Visualisation. | Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe |
| 2011 | IDEAL | Multi-layer Topology Preserving Mapping for K-Means Clustering. | Ying Wu, Thomas K. Doyle, Colin Fyfe |
| 2011 | ISDA | Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. | Sebastin Basterrech, Colin Fyfe, Gerardo Rubino |
| 2010 | ESANN | Curvilinear component analysis and Bregman divergences. | Jigang Sun, Colin Fyfe, Malcolm K. Crowe |
| 2008 | ICONIP | Bregman Divergences and Multi-dimensional Scaling. | Pei Ling Lai, Colin Fyfe |
| 2008 | IJCNN | A topology preserving mapping for face recognition. | Colin Fyfe, Tseng Wen-Ching, Wu Chia-Ti, Chien Shih-Yu, Pei Ling Lai |
| 2008 | IDEAL | Bregman Divergences and the Self Organising Map. | Eunsong Jang, Colin Fyfe, Hanseok Ko |
| 2008 | IDEAL | Feature Locations in Images. | Hokun Kim, Colin Fyfe, Hanseok Ko |
| 2007 | ESANN | Immediate Reward Reinforcement Learning for Projective Kernel Methods. | Colin Fyfe, Pei Ling Lai |
| 2007 | ICANN | Stochastic Weights Reinforcement Learning for Exploratory Data Analysis. | Ying Wu, Colin Fyfe, Pei Ling Lai |
| 2007 | IJCNN | Reinforcement Learning for Topographic Mappings. | Pei Ling Lai, Colin Fyfe |
| 2007 | IDEAL | Clustering with Reinforcement Learning. | Wesam Barbakh, Colin Fyfe |
| 2007 | IDEAL | Visualising and Clustering Video Data. | Colin Fyfe, Wei Chuang Ooi, Hanseok Ko |
| 2007 | ISNN | Reinforcement Learning Reward Functions for Unsupervised Learning. | Colin Fyfe, Pei Ling Lai |
| 2007 | KES | Reinforcement Learning of Competitive Skills with Soccer Agents. | Jinsong Leng, Colin Fyfe, Lakhmi C. Jain |
| 2007 | KSEM | Convergence Analysis on Approximate Reinforcement Learning. | Jinsong Leng, Lakhmi C. Jain, Colin Fyfe |
| 2006 | ESANN | Stochastic Processes for Canonical Correlation Analysis. | Colin Fyfe, Gayle Leen |
| 2006 | ESANN | Immune Network based Ensembles. | Nicols Garca-Pedrajas, Colin Fyfe |
| 2006 | ESANN | A Gaussian process latent variable model formulation of canonical correlation analysis. | Gayle Leen, Colin Fyfe |
| 2006 | ESANN | Outlier identification with the Harmonic Topographic Mapping. | Marian Pena, Colin Fyfe |
| 2006 | ICANN | The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis. | Pei Ling Lai, Gayle Leen, Colin Fyfe |
| 2006 | ICONIP | Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis. | Colin Fyfe, Gayle Leen |
| 2006 | IJCNN | A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. | Pei Ling Lai, Colin Fyfe |
| 2006 | IJCNN | A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. | Pei Ling Lai, Gayle Leen, Colin Fyfe |
| 2006 | IDEAL | A Family of Novel Clustering Algorithms. | Wesam Barbakh, Malcolm K. Crowe, Colin Fyfe |
| 2006 | IDEAL | The Topographic Neural Gas. | Marian Pena, Colin Fyfe |
| 2006 | KES | Teamwork and Simulation in Hybrid Cognitive Architecture. | Jinsong Leng, Colin Fyfe, Lakhmi C. Jain |
| 2006 | KES | Twinned Topographic Maps for Decision Making in the Cockpit. | Steve Thatcher, Colin Fyfe |
| 2005 | ESANN | Phase transition in sparse associative neural networks. | Oleksiy Dekhtyarenko, Valery Tereshko, Colin Fyfe |
| 2005 | ICANN | Local vs Global Models in Pong. | Colin Fyfe |
| 2005 | ICANN | The Topographic Product of Experts. | Colin Fyfe |
| 2004 | ESANN | Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. | Csar Ignacio Garca-Osorio, Jess Maudes, Colin Fyfe |
| 2004 | ICCS | Kernel Maximum Likelihood Hebbian Learning. | Jos Koetsier, Emilio Corchado, Donald MacDonald, Juan M. Corchado, Colin Fyfe |
| 2004 | IJCNN | Non-linear principal components: projection and reconstruction. | Donald MacDonald, Colin Fyfe |
| 2004 | IDEAL | Development of a Global and Integral Model of Business Management Using an Unsupervised Model. | Emilio Corchado, Colin Fyfe, Lourdes Siz Brcena, Ana Mara Lara Palma |
| 2004 | KES | Dual Stream Artificial Neural Networks. | Colin Fyfe |
| 2004 | KES | An Intelligent Aircraft Landing Support System. | Steve Thatcher, Lakhmi C. Jain, Colin Fyfe |
| 2003 | ICANN | Relevance and Kernel Self-Organising Maps. | Emilio Corchado, Colin Fyfe |
| 2003 | ICCBR | Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systems. | Juan M. Corchado, Emilio Corchado, Jim Aiken, Colin Fyfe, Florentino Fernndez Riverola, Manuel Gonzalez |
| 2003 | IDEAL | Initialising Self-Organising Maps. | Emilio Corchado, Colin Fyfe |
| 2003 | IWANN | Progressive Concept Formation in Self-Organising Maps. | Emilio Corchado, Colin Fyfe |
| 2002 | ESANN | Maximum likelihood Hebbian rules. | Colin Fyfe, Emilio Corchado |
| 2002 | ESANN | Forecasting using twinned principal curves. | Ying Han, Colin Fyfe |
| 2002 | ESANN | Exploratory Correlation Analysis. | Jos Koetsier, Donald MacDonald, Darryl Charles, Colin Fyfe |
| 2002 | ESANN | Clustering in data space and feature space. | Donald MacDonald, Colin Fyfe |
| 2002 | ICANN | Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons. | Darryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe |
| 2002 | ICANN | Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. | Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsbet Mernyi |
| 2002 | ICDM | Optimal Projections of High Dimensional Data. | Emilio Corchado, Colin Fyfe |
| 2002 | IDEAL | A New Neural Implementation of Exploratory Projection Pursuit. | Colin Fyfe, Emilio Corchado |
| 2002 | IDEAL | Complexity Pursuit for Financial Prediction. | Ying Han, Colin Fyfe |
| 2001 | ESANN | Unsupervised models for processing visual data. | Darryl Charles, Colin Fyfe |
| 2001 | ESANN | Rectified Gaussian distributions and the formation of local filters from video data. | Emilio Corchado, Darryl Charles, Colin Fyfe |
| 2001 | ESANN | Sparse Kernel Canonical Correlation Analysis. | L. Tan, Colin Fyfe |
| 2000 | ICPR | Canonical Correlation Analysis Neural Networks. | Colin Fyfe, Pei Ling Lai |
| 2000 | ICPR | Power Load Forecasting Using Neural Canonical Correlates. | Pei Ling Lai, Shang Jen Chuang, Colin Fyfe |
| 2000 | IJCNN | Kernel Factor Analysis with Varimax Rotation. | Darryl Charles, Colin Fyfe |
| 2000 | IJCNN | Kernel and Nonlinear Canonical Correlation Analysis. | Pei Ling Lai, Colin Fyfe |
| 2000 | IDEAL | Generalised Canonical Correlation Analysis. | Zhenkun Gou, Colin Fyfe |
| 2000 | IDEAL | A Gneral Class of Neural Networks for Principal Component Analysis and Factor Analysis. | Ying Han, Colin Fyfe |
| 2000 | IDEAL | A Probabilistic Agent Approach to the Traffic Jam Problem. | Duncan McKay, Colin Fyfe |
| 2000 | KES | A comparison of sparse kernel principal component analysis methods. | Zhen Kun Gon, JunKang Feng, Colin Fyfe |
| 2000 | KES | The kernel self-organising map. | Donald MacDonald, Colin Fyfe |
| 2000 | KES | Kernel exploratory projection pursuit. | Donald MacDonald, Colin Fyfe, Darryl Charles |
| 2000 | KES | Probability prediction using support vector machines. | Duncan McKay, Colin Fyfe |
| 1999 | ESANN | Noise to extract independent causes. | Darryl Charles, Colin Fyfe |
| 1999 | ESANN | Trends in Unsupervised Learning. | Colin Fyfe |
| 1999 | ESANN | Neural networks which identify composite factors. | Donald MacDonald, Darryl Charles, Colin Fyfe |
| 1999 | ESANN | Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data. | Donald MacDonald, Stephen McGlinchey, John Kawala, Colin Fyfe |
| 1998 | ESANN | Canonical correlation analysis using artificial neural networks. | Pei Ling Lai, Colin Fyfe |
| 1998 | ESANN | Invariant feature maps for analysis of orientations in image data. | Stephen McGlinchey, Colin Fyfe |
| 1997 | AISTATS | Multivariate Density Factorization for Independent Component Analysis: An Unsupervised Artificial Neural Network Approach. | Mark Girolami, Colin Fyfe |
| 1997 | ESANN | Independence is far from normal. | Mark A. Girolami, Colin Fyfe |
| 1997 | ICASSP | Kurtosis extrema and identification of independent components: a neural network approach. | Mark A. Girolami, Colin Fyfe |