Non-linear data structure extraction using simple hebbian networks. - Colin Fyfe; Roland Baddeley (Biol. Cybern., 1995)

Introducing asymmetry into interneuron learning. - Colin Fyfe (Neural Comput., 1995)

A general exploratory projection pursuit network. - Colin Fyfe (Neural Process. Lett., 1995)

Negative feedback as an organising principle for artificial neural networks. - Colin Fyfe (1995)

A Temporal Model of Linear Anti-Hebbian Learning. - Mark A. Girolami; Colin Fyfe (Neural Process. Lett., 1996)

Multivariate Density Factorization for Independent Component Analysis: An Unsupervised Artificial Neural Network Approach. - Mark Girolami; Colin Fyfe (AISTATS, 1997)

Independence is far from normal. - Mark A. Girolami; Colin Fyfe (ESANN, 1997)

Multi-layered Niche Formation. - Colin Fyfe (ICANNGA, 1997)

An Unsupervised Neural Method for Time Series Analysis, Characterisation and Prediction. - Colin Fyfe (ICANNGA, 1997)

Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis. - Mark Girolami; Colin Fyfe (ICANNGA, 1997)

Automatic Extraction of Phase and Frequency Information from Raw Voice Data. - Stephen McGlinchey; Colin Fyfe (ICANNGA, 1997)

Kurtosis extrema and identification of independent components: a neural network approach. - Mark A. Girolami; Colin Fyfe (ICASSP, 1997)

Generalised independent component analysis through unsupervised learning with emergent Bussgang properties. - Mark A. Girolami; Colin Fyfe (ICNN, 1997)

Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm. - Mark A. Girolami; Colin Fyfe (Int. J. Neural Syst., 1997)

A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit. - Colin Fyfe (Neural Networks, 1997)

An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem. - Mark A. Girolami; Colin Fyfe (Neural Networks, 1997)

A Neural Network for PCA and Beyond. - Colin Fyfe (Neural Process. Lett., 1997)

Unsupervised learning for financial forecasting. - Juan M. Corchado; Colin Fyfe; Brian Lees (CIFEr, 1998)

Canonical correlation analysis using artificial neural networks. - Pei Ling Lai; Colin Fyfe (ESANN, 1998)

Invariant feature maps for analysis of orientations in image data. - Stephen McGlinchey; Colin Fyfe (ESANN, 1998)

Fast formation of invariant feature maps. - Stephen McGlinchey; Colin Fyfe (EUSIPCO, 1998)

Structured population-based incremental learning. - Colin Fyfe (Soft Comput., 1998)

Modelling the Evolution of Linguistic Diversity. - Daniel Livingstone; Colin Fyfe (ECAL, 1999)

Noise to extract independent causes. - Darryl Charles; Colin Fyfe (ESANN, 1999)

Trends in Unsupervised Learning. - Colin Fyfe (ESANN, 1999)

Neural networks which identify composite factors. - Donald MacDonald; Darryl Charles; Colin Fyfe (ESANN, 1999)

Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data. - Donald MacDonald; Stephen McGlinchey; John Kawala; Colin Fyfe (ESANN, 1999)

Learning Independent Causes of a Visual Data Set using the Rectified Gaussian Distribution. - Colin Fyfe; Darryl Charles; Stephen McGlinchey (IIA/SOCO, 1999)

Dialect and Learned Systems of Communication in Multi-Agent Systems. - Daniel Livingstone; Colin Fyfe (IIA/SOCO, 1999)

Data Mining using Unsupervised Neural Networks. - Donald MacDonald; Colin Fyfe (IIA/SOCO, 1999)

Cooperation in Oligopolies. - Tzai-Der Wang; J. P. Marney; Colin Fyfe (IIA/SOCO, 1999)

Unsupervised neural method for temperature forecasting. - Juan M. Corchado; Colin Fyfe (Artif. Intell. Eng., 1999)

A neural implementation of canonical correlation analysis. - Pei Ling Lai; Colin Fyfe (Neural Networks, 1999)

Canonical Correlation Analysis Neural Networks. - Colin Fyfe; Pei Ling Lai (ICPR, 2000)

Power Load Forecasting Using Neural Canonical Correlates. - Pei Ling Lai; Shang Jen Chuang; Colin Fyfe (ICPR, 2000)

Generalised Canonical Correlation Analysis. - Zhenkun Gou; Colin Fyfe (IDEAL, 2000)

A Gneral Class of Neural Networks for Principal Component Analysis and Factor Analysis. - Ying Han; Colin Fyfe (IDEAL, 2000)

A Probabilistic Agent Approach to the Traffic Jam Problem. - Duncan McKay; Colin Fyfe (IDEAL, 2000)

Kernel Factor Analysis with Varimax Rotation. - Darryl Charles; Colin Fyfe (IJCNN (3), 2000)

A comparison of sparse kernel principal component analysis methods. - Zhen Kun Gon; JunKang Feng; Colin Fyfe (KES, 2000)

The kernel self-organising map. - Donald MacDonald; Colin Fyfe (KES, 2000)

Kernel exploratory projection pursuit. - Donald MacDonald; Colin Fyfe; Darryl Charles (KES, 2000)

Probability prediction using support vector machines. - Duncan McKay; Colin Fyfe (KES, 2000)

Unsupervised Extraction of Structural Information from High Dimensional Visual Data. - Stephen McGlinchey; Darryl Charles; Pei Ling Lai; Colin Fyfe (Appl. Intell., 2000)

Kernel and Nonlinear Canonical Correlation Analysis. - Pei Ling Lai; Colin Fyfe (Int. J. Neural Syst., 2000)

Simultaneous Identification of Face and Orientation. - Pei Ling Lai; Colin Fyfe (Neural Process. Lett., 2000)

Unsupervised models for processing visual data. - Darryl Charles; Colin Fyfe (ESANN, 2001)

Rectified Gaussian distributions and the formation of local filters from video data. - Emilio Corchado; Darryl Charles; Colin Fyfe (ESANN, 2001)

Sparse Kernel Canonical Correlation Analysis. - L. Tan; Colin Fyfe (ESANN, 2001)

Automating the construction of CBR systems using kernel methods. - Colin Fyfe; Juan M. Corchado (Int. J. Intell. Syst., 2001)

A Family of Canonical Correlation Networks. - Pei Ling Lai; Colin Fyfe (Neural Process. Lett., 2001)

Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit. - Emilio Corchado; Colin Fyfe (AICS, 2002)

Maximum likelihood Hebbian rules. - Colin Fyfe; Emilio Corchado (ESANN, 2002)

Forecasting using twinned principal curves. - Ying Han; Colin Fyfe (ESANN, 2002)

Exploratory Correlation Analysis. - Jos Koetsier; Donald MacDonald; Darryl Charles; Colin Fyfe (ESANN, 2002)

Clustering in data space and feature space. - Donald MacDonald; Colin Fyfe (ESANN, 2002)

Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons. - Darryl Charles; Jos Koetsier; Donald MacDonald; Colin Fyfe (ICANN, 2002)

Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. - Donald MacDonald; Emilio Corchado; Colin Fyfe; Erzsébet Merényi (ICANN, 2002)

Optimal Projections of High Dimensional Data. - Emilio Corchado; Colin Fyfe (ICDM, 2002)

A New Neural Implementation of Exploratory Projection Pursuit. - Colin Fyfe; Emilio Corchado (IDEAL, 2002)

Complexity Pursuit for Financial Prediction. - Ying Han; Colin Fyfe (IDEAL, 2002)

Classification and ICA using maximum likelihood Hebbian learning. - Emilio Corchado; Jos Koetsier; Donald MacDonald; Colin Fyfe (NNSP, 2002)

A robust canonical correlation neural network. - Zhenkun Gou; Colin Fyfe (NNSP, 2002)

Extraction of Visual Information Using Maximum Likelihood Hebbian Learning. - Emilio Corchado; Colin Fyfe (SBRN, 2002)

A comparison of Kernel methods for instantiating case based reasoning systems. - Colin Fyfe; Juan M. Corchado (Adv. Eng. Informatics, 2002)

Finding Underlying Factors in Timeseries. - Ying Han; Colin Fyfe (Cybern. Syst., 2002)

Extraction of Independent Causes Using Lateral Connections. - Emilio Corchado; Colin Fyfe (Int. J. Comput. Intell. Appl., 2002)

Unsupervised neural networks for the identification of minimum overcomplete basis in visual data. - Darryl Charles; Colin Fyfe; Donald MacDonald; Jos Koetsier (Neurocomputing, 2002)

epsilon-insensitive Hebbian learning. - Colin Fyfe; Donald MacDonald (Neurocomputing, 2002)

Guest editorial introduction. - Colin Fyfe; Bogdan Gabrys (Knowl. Based Syst., 2002)

Relevance and Kernel Self-Organising Maps. - Emilio Corchado; Colin Fyfe (ICANN, 2003)

Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systems. - Juan M. Corchado; Emilio Corchado; Jim Aiken; Colin Fyfe; Florentino Fernández Riverola; Manuel Gonzalez (ICCBR, 2003)

Initialising Self-Organising Maps. - Emilio Corchado; Colin Fyfe (IDEAL, 2003)

Progressive Concept Formation in Self-Organising Maps. - Emilio Corchado; Colin Fyfe (IWANN (1), 2003)

An Extension of epsilon-Insensitive Hebbian Learning to Form a Non-Interfering Basis. - Emilio Corchado; Colin Fyfe (Int. J. Comput. Intell. Appl., 2003)

Connectionist Techniques For The Identification And Suppression Of Interfering Underlying Factors. - Emilio Corchado; Colin Fyfe (Int. J. Pattern Recognit. Artif. Intell., 2003)

Structuring global responses of local filters using lateral connections. - Emilio Corchado; Ying Han; Colin Fyfe (J. Exp. Theor. Artif. Intell., 2003)

Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. - César Ignacio García-Osorio; Jesús Maudes; Colin Fyfe (ESANN, 2004)

Traffic Jams: An Evolutionary Investigation. - Tzai-Der Wang; Colin Fyfe (IAT, 2004)

Kernel Maximum Likelihood Hebbian Learning. - Jos Koetsier; Emilio Corchado; Donald MacDonald; Juan M. Corchado; Colin Fyfe (International Conference on Computational Science, 2004)

Development of a Global and Integral Model of Business Management Using an Unsupervised Model. - Emilio Corchado; Colin Fyfe; Lourdes Sáiz Bárcena; Ana María Lara Palma (IDEAL, 2004)

Non-linear principal components: projection and reconstruction. - Donald MacDonald; Colin Fyfe (IJCNN, 2004)

Agent Wars with Artificial Immune Systems. - Gayle Leen; Colin Fyfe (ICEC, 2004)

Strategy Selection in Games Using Co-evolution Between Artificial Immune Systems. - Donald MacDonald; Colin Fyfe (ICEC, 2004)

Dual Stream Artificial Neural Networks. - Colin Fyfe (KES, 2004)

An Intelligent Aircraft Landing Support System. - Steve Thatcher; Lakhmi C. Jain; Colin Fyfe (KES, 2004)

Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning. - Donald MacDonald; Emilio Corchado; Colin Fyfe (MICAI, 2004)

A Kernel Method for Classification. - Donald MacDonald; Jos Koetsier; Emilio Corchado; Colin Fyfe; Juan M. Corchado (MICAI, 2004)

A Gis And Web-Based Decision Support Tool For The Management Of Urban Soils. - Iain Hossack; Douglas Robertson; Peter Tucker; Andrew Hursthouse; Colin Fyfe (Cybern. Syst., 2004)

Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. - Emilio Corchado; Donald MacDonald; Colin Fyfe (Data Min. Knowl. Discov., 2004)

Dynamic Strategy Creation and Selection Using Artificial Immune Systems. - Colin Fyfe (Int. J. Intell. Games Simul., 2004)

Forecasting using twinned principal curves and twinned self-organising maps. - Ying Han; Emilio Corchado; Colin Fyfe (Neurocomputing, 2004)

Internet agents who structure concept formation using kernel self-organising maps. - Emilio Corchado; Donald MacDonald; Colin Fyfe (Int. J. Web Eng. Technol., 2004)

A canonical correlation neural network for multicollinearity and functional data. - Zhenkun Gou; Colin Fyfe (Neural Networks, 2004)

Twinned principal curves. - Jos Koetsier; Ying Han; Colin Fyfe (Neural Networks, 2004)

Incrementally Learned Subjectivist Probabilities in Games. - Colin Fyfe (CIG, 2005)

Training an AI Player to play Pong Using the GTM. - Gayle Leen; Colin Fyfe (CIG, 2005)

Phase transition in sparse associative neural networks. - Oleksiy Dekhtyarenko; Valery Tereshko; Colin Fyfe (ESANN, 2005)

Local vs Global Models in Pong. - Colin Fyfe (ICANN (2), 2005)

The Topographic Product of Experts. - Colin Fyfe (ICANN (1), 2005)

The combined use of self-organizing maps and andrews' curves. - César Ignacio García-Osorio; Colin Fyfe (Int. J. Neural Syst., 2005)

Regaining sparsity in kernel principal components. - César Ignacio García-Osorio; Colin Fyfe (Neurocomputing, 2005)

Visualization of High-dimensional Data via Orthogonal Curves. - César Ignacio García-Osorio; Colin Fyfe (J. Univers. Comput. Sci., 2005)

Hebbian Learning and Negative Feedback Networks. - Colin Fyfe (Springer, 2005)

Improving Artificial Intelligence In a Motocross Game. - Benoit Chaperot; Colin Fyfe (CIG, 2006)

Stochastic Processes for Canonical Correlation Analysis. - Colin Fyfe; Gayle Leen (ESANN, 2006)

A Gaussian process latent variable model formulation of canonical correlation analysis. - Gayle Leen; Colin Fyfe (ESANN, 2006)

Outlier identification with the Harmonic Topographic Mapping. - Marian Pena; Colin Fyfe (ESANN, 2006)

The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis. - Pei Ling Lai; Gayle Leen; Colin Fyfe (ICANN (2), 2006)

Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis. - Colin Fyfe; Gayle Leen (ICONIP (1), 2006)

A Family of Novel Clustering Algorithms. - Wesam Barbakh; Malcolm K. Crowe; Colin Fyfe (IDEAL, 2006)

The Topographic Neural Gas. - Marian Pena; Colin Fyfe (IDEAL, 2006)

A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. - Pei Ling Lai; Colin Fyfe (IJCNN, 2006)

A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. - Pei Ling Lai; Gayle Leen; Colin Fyfe (IJCNN, 2006)

Comparing Gaussian Processes and Artificial Neural Networks for Forecasting. - Colin Fyfe; Tzai-Der Wang; Shang Jen Chuang (JCIS, 2006)

Teamwork and Simulation in Hybrid Cognitive Architecture. - Jinsong Leng; Colin Fyfe; Lakhmi C. Jain (KES (2), 2006)

Twinned Topographic Maps for Decision Making in the Cockpit. - Steve Thatcher; Colin Fyfe (KES (2), 2006)

Simulation of Cooperation for Price Competition in Oligopolies. - Tzai-Der Wang; Colin Fyfe (SEAL, 2006)

Teams of intelligent agents which learn using artificial immune systems. - Colin Fyfe; Lakhmi C. Jain (J. Netw. Comput. Appl., 2006)

Immediate Reward Reinforcement Learning for Projective Kernel Methods. - Colin Fyfe; Pei Ling Lai (ESANN, 2007)

Temporal Difference Control within a Dynamic Environment. - Leo Galway; Darryl Charles; Michaela M. Black; Colin Fyfe (GAMEON, 2007)

Stochastic Weights Reinforcement Learning for Exploratory Data Analysis. - Ying Wu 004; Colin Fyfe; Pei Ling Lai (ICANN (1), 2007)

Clustering with Reinforcement Learning. - Wesam Barbakh; Colin Fyfe (IDEAL, 2007)

Visualising and Clustering Video Data. - Colin Fyfe; Wei Chuang Ooi; Hanseok Ko (IDEAL, 2007)

Reinforcement Learning for Topographic Mappings. - Pei Ling Lai; Colin Fyfe (IJCNN, 2007)

Reinforcement Learning Reward Functions for Unsupervised Learning. - Colin Fyfe; Pei Ling Lai (ISNN (1), 2007)

Reinforcement Learning of Competitive Skills with Soccer Agents. - Jinsong Leng; Colin Fyfe; Lakhmi C. Jain (KES (1), 2007)

Convergence Analysis on Approximate Reinforcement Learning. - Jinsong Leng; Lakhmi C. Jain; Colin Fyfe (KSEM, 2007)

Two topographic maps for data visualisation. - Colin Fyfe (Data Min. Knowl. Discov., 2007)

Immune network based ensembles. - Nicolás García-Pedrajas; Colin Fyfe (Neurocomputing, 2007)

Nonlinear Boosting Projections for Ensemble Construction. - Nicolás García-Pedrajas; César Ignacio García-Osorio; Colin Fyfe (J. Mach. Learn. Res., 2007)

Bregman Divergences and Multi-dimensional Scaling. - Pei Ling Lai; Colin Fyfe (ICONIP (2), 2008)

Bregman Divergences and the Self Organising Map. - Eunsong Jang; Colin Fyfe; Hanseok Ko (IDEAL, 2008)

Feature Locations in Images. - Hokun Kim; Colin Fyfe; Hanseok Ko (IDEAL, 2008)

A topology preserving mapping for face recognition. - Colin Fyfe; Tseng Wen-Ching; Wu Chia-Ti; Chien Shih-Yu; Pei Ling Lai (IJCNN, 2008)

Exploratory data analysis with artificial immune systems. - Ying Wu 004; Colin Fyfe (Evol. Intell., 2008)

Construction of classifier ensembles by means of artificial immune systems. - Nicolás García-Pedrajas; Colin Fyfe (J. Heuristics, 2008)

Online Clustering Algorithms. - Wesam Barbakh; Colin Fyfe (Int. J. Neural Syst., 2008)

Topological Mappings of Video and Audio Data. - Colin Fyfe; Wesam Barbakh; Wei Chuang Ooi; Hanseok Ko (Int. J. Neural Syst., 2008)

Gaussian processes for canonical correlation analysis. - Colin Fyfe; Gayle Leen; Pei Ling Lai (Neurocomputing, 2008)

Local vs global interactions in clustering algorithms: Advances over K-means. - Wesam Barbakh; Colin Fyfe (Int. J. Knowl. Based Intell. Eng. Syst., 2008)

A stochastic process formulation of learning in cooperative agents. - Colin Fyfe; Gayle Leen; Lakhmi C. Jain; Steve Thatcher (Multiagent Grid Syst., 2008)

Simulation and reinforcement learning with soccer agents. - Jinsong Leng; Colin Fyfe; Lakhmi C. Jain (Multiagent Grid Syst., 2008)

Two forms of immediate reward reinforcement learning for exploratory data analysis. - Ying Wu 004; Colin Fyfe; Pei Ling Lai (Neural Networks, 2008)

Evolving Output Codes for Multiclass Problems. - Nicolás García-Pedrajas; Colin Fyfe (IEEE Trans. Evol. Comput., 2008)

Topographic Maps for Clustering and Data Visualization. - Colin Fyfe (Computational Intelligence: A Compendium, 2008)

Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings. - Colin Fyfe; Wesam Barbakh (Similarity-Based Clustering, 2009)

Experimental analysis of eligibility traces strategies in temporal difference learning. - Jinsong Leng; Lakhmi C. Jain; Colin Fyfe (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

Experimental analysis on Sarsa(lambda) and Q(lambda) with different eligibility traces strategies. - Jinsong Leng; Colin Fyfe; Lakhmi C. Jain (J. Intell. Fuzzy Syst., 2009)

Non-Standard Parameter Adaptation for Exploratory Data Analysis - Wesam Barbakh; Ying Wu 004; Colin Fyfe (Springer, 2009)

Curvilinear component analysis and Bregman divergences. - Jigang Sun; Colin Fyfe; Malcolm K. Crowe (ESANN, 2010)

Class Imbalance Methods for Translation Initiation Site Recognition. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer; María D. García-Pedrajas; Colin Fyfe (IEA/AIE (1), 2010)

Independent Component Analysis Using Bregman Divergences. - Xi Wang; Colin Fyfe (IEA/AIE (2), 2010)

Particle Swarm Optimization in Exploratory Data Analysis. - Ying Wu 004; Colin Fyfe (IEA/AIE (2), 2010)

Reinforcement Learning for the N-Persons Iterated Prisoners' Dilemma. - Juan Enrique Agudo; Colin Fyfe (CIS, 2011)

Minimal Echo State Networks for Visualisation. - Tzai-Der Wang; Xiaochuan Wu; Colin Fyfe (CIS, 2011)

Multi-layer Topology Preserving Mapping for K-Means Clustering. - Ying Wu 004; Thomas K. Doyle; Colin Fyfe (IDEAL, 2011)

Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. - Sebastián Basterrech; Colin Fyfe; Gerardo Rubino (ISDA, 2011)

Special issue on the trends in applied intelligence systems. - Nicolás García-Pedrajas; Francisco Herrera; Colin Fyfe (Appl. Intell., 2011)

Extending metric multidimensional scaling with Bregman divergences. - Jigang Sun; Malcolm K. Crowe; Colin Fyfe (Pattern Recognit., 2011)

Comparative study of visualisation methods for temporal data. - Tzai-Der Wang; Xiaochuan Wu; Colin Fyfe (IEEE Congress on Evolutionary Computation, 2012)

Reinforcement Programming for function approximation. - Salah Rana; Malcolm K. Crowe; Colin Fyfe (UKCI, 2012)

Dual stream data exploration. - Xi Wang; Malcolm K. Crowe; Colin Fyfe (Int. J. Data Min. Model. Manag., 2012)

Extending Sammon mapping with Bregman divergences. - Jigang Sun; Colin Fyfe; Malcolm K. Crowe (Inf. Sci., 2012)

Class imbalance methods for translation initiation site recognition in DNA sequences. - Nicolás García-Pedrajas; Javier Pérez-Rodríguez; María D. García-Pedrajas; Domingo Ortiz-Boyer; Colin Fyfe (Knowl. Based Syst., 2012)

Evolutionary algorithms and cross entropy. - Colin Fyfe; Domingo Ortiz-Boyer; Nicolás García-Pedrajas (Int. J. Knowl. Based Intell. Eng. Syst., 2012)

Whitening central projection descriptor for affine-invariant shape description. - Rushi Lan; Jianwei Yang; Yong Jiang; Colin Fyfe; Zhan Song (IET Image Process., 2013)

Incorporating visualisation quality measures to curvilinear component analysis. - Jigang Sun; Malcolm K. Crowe; Colin Fyfe (Inf. Sci., 2013)

Visualising Temporal Data Using Reservoir Computing. - Tzai-Der Wang; Colin Fyfe (J. Inf. Sci. Eng., 2013)

Improving Bregman k-means. - Wesam M. Ashour; Colin Fyfe (Int. J. Data Min. Model. Manag., 2014)

Achieving cooperation with many prisoners in the NIPD. - Juan Enrique Agudo; Colin Fyfe (Int. J. Comput. Sci. Eng., 2016)

Factors important for good visualisation of time series. - Tzai-Der Wang; Xiaochuan Wu; Colin Fyfe (Int. J. Comput. Sci. Eng., 2016)