Colin Fyfe

Publication Activity (10 Years)

Years Active: 1995-2016
Publications (10 Years): 2

Top Venues

Int. J. Data Min. Model. Manag.

Int. J. Comput. Sci. Eng.

Inf. Sci.

IEEE Congress on Evolutionary Computation

University of Strathclyde, Glasgow, UK (PHD)

Education History

University of Strathclyde, Glasgow, UK

PHD

Publications

Juan Enrique Agudo, Colin Fyfe
Achieving cooperation with many prisoners in the NIPD. Int. J. Comput. Sci. Eng. 12 (1) (2016)
Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe
Factors important for good visualisation of time series. Int. J. Comput. Sci. Eng. 12 (1) (2016)
Wesam M. Ashour, Colin Fyfe
Improving Bregman k-means. Int. J. Data Min. Model. Manag. 6 (1) (2014)
Jigang Sun, Malcolm K. Crowe, Colin Fyfe
Incorporating visualisation quality measures to curvilinear component analysis. Inf. Sci. 223 (2013)
Rushi Lan, Jianwei Yang, Yong Jiang, Colin Fyfe, Zhan Song
Whitening central projection descriptor for affine-invariant shape description. IET Image Process. 7 (1) (2013)
Tzai-Der Wang, Colin Fyfe
Visualising Temporal Data Using Reservoir Computing. J. Inf. Sci. Eng. 29 (4) (2013)
Xi Wang, Malcolm K. Crowe, Colin Fyfe
Dual stream data exploration. Int. J. Data Min. Model. Manag. 4 (2) (2012)
Salah Rana, Malcolm K. Crowe, Colin Fyfe
Reinforcement Programming for function approximation. UKCI (2012)
Colin Fyfe, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
Evolutionary algorithms and cross entropy. Int. J. Knowl. Based Intell. Eng. Syst. 16 (4) (2012)
Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe
Comparative study of visualisation methods for temporal data. IEEE Congress on Evolutionary Computation (2012)
Jigang Sun, Colin Fyfe, Malcolm K. Crowe
Extending Sammon mapping with Bregman divergences. Inf. Sci. 187 (2012)
Nicolás García-Pedrajas, Javier Pérez-Rodríguez, María D. García-Pedrajas, Domingo Ortiz-Boyer, Colin Fyfe
Class imbalance methods for translation initiation site recognition in DNA sequences. Knowl. Based Syst. 25 (1) (2012)
Sebastián Basterrech, Colin Fyfe, Gerardo Rubino
Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. ISDA (2011)
Juan Enrique Agudo, Colin Fyfe
Reinforcement Learning for the N-Persons Iterated Prisoners' Dilemma. CIS (2011)
Jigang Sun, Malcolm K. Crowe, Colin Fyfe
Extending metric multidimensional scaling with Bregman divergences. Pattern Recognit. 44 (5) (2011)
Ying Wu, Thomas K. Doyle, Colin Fyfe
Multi-layer Topology Preserving Mapping for K-Means Clustering. IDEAL (2011)
Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe
Minimal Echo State Networks for Visualisation. CIS (2011)
Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe
Special issue on the trends in applied intelligence systems. Appl. Intell. 34 (3) (2011)
Jigang Sun, Colin Fyfe, Malcolm K. Crowe
Curvilinear component analysis and Bregman divergences. ESANN (2010)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer, María D. García-Pedrajas, Colin Fyfe
Class Imbalance Methods for Translation Initiation Site Recognition. IEA/AIE (1) (2010)
Ying Wu, Colin Fyfe
Particle Swarm Optimization in Exploratory Data Analysis. IEA/AIE (2) (2010)
Xi Wang, Colin Fyfe
Independent Component Analysis Using Bregman Divergences. IEA/AIE (2) (2010)
Jigang Sun, Malcolm K. Crowe, Colin Fyfe
Extending Metric Multidimensional Scaling with Bregman Divergences. IEA/AIE (2) (2010)
Jinsong Leng, Lakhmi C. Jain, Colin Fyfe
Experimental analysis of eligibility traces strategies in temporal difference learning. Int. J. Knowl. Eng. Soft Data Paradigms 1 (1) (2009)
Colin Fyfe, Wesam Barbakh
Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings. Similarity-Based Clustering (2009)
Jinsong Leng, Colin Fyfe, Lakhmi C. Jain
Experimental analysis on Sarsa(lambda) and Q(lambda) with different eligibility traces strategies. J. Intell. Fuzzy Syst. 20 (1-2) (2009)
Colin Fyfe, Wesam Barbakh, Wei Chuang Ooi, Hanseok Ko
Topological Mappings of Video and Audio Data. Int. J. Neural Syst. 18 (6) (2008)
Colin Fyfe, Gayle Leen, Lakhmi C. Jain, Steve Thatcher
A stochastic process formulation of learning in cooperative agents. Multiagent Grid Syst. 4 (4) (2008)
Nicolás García-Pedrajas, Colin Fyfe
Evolving Output Codes for Multiclass Problems. IEEE Trans. Evol. Comput. 12 (1) (2008)
Hokun Kim, Colin Fyfe, Hanseok Ko
Feature Locations in Images. IDEAL (2008)
Nicolás García-Pedrajas, Colin Fyfe
Construction of classifier ensembles by means of artificial immune systems. J. Heuristics 14 (3) (2008)
Colin Fyfe, Tseng Wen-Ching, Wu Chia-Ti, Chien Shih-Yu, Pei Ling Lai
A topology preserving mapping for face recognition. IJCNN (2008)
Colin Fyfe, Gayle Leen, Pei Ling Lai
Gaussian processes for canonical correlation analysis. Neurocomputing 71 (16-18) (2008)
Ying Wu, Colin Fyfe
Exploratory data analysis with artificial immune systems. Evol. Intell. 1 (2) (2008)
Pei Ling Lai, Colin Fyfe
Bregman Divergences and Multi-dimensional Scaling. ICONIP (2) (2008)
Jinsong Leng, Colin Fyfe, Lakhmi C. Jain
Simulation and reinforcement learning with soccer agents. Multiagent Grid Syst. 4 (4) (2008)
Wesam Barbakh, Colin Fyfe
Online Clustering Algorithms. Int. J. Neural Syst. 18 (3) (2008)
Eunsong Jang, Colin Fyfe, Hanseok Ko
Bregman Divergences and the Self Organising Map. IDEAL (2008)
Ying Wu, Colin Fyfe, Pei Ling Lai
Two forms of immediate reward reinforcement learning for exploratory data analysis. Neural Networks 21 (6) (2008)
Wesam Barbakh, Colin Fyfe
Local vs global interactions in clustering algorithms: Advances over K-means. Int. J. Knowl. Based Intell. Eng. Syst. 12 (2) (2008)
Jinsong Leng, Colin Fyfe, Lakhmi C. Jain
Reinforcement Learning of Competitive Skills with Soccer Agents. KES (1) (2007)
Jinsong Leng, Lakhmi C. Jain, Colin Fyfe
Convergence Analysis on Approximate Reinforcement Learning. KSEM (2007)
Nicolás García-Pedrajas, César Ignacio García-Osorio, Colin Fyfe
Nonlinear Boosting Projections for Ensemble Construction. J. Mach. Learn. Res. 8 (2007)
Pei Ling Lai, Colin Fyfe
Reinforcement Learning for Topographic Mappings. IJCNN (2007)
Colin Fyfe, Pei Ling Lai
Reinforcement Learning Reward Functions for Unsupervised Learning. ISNN (1) (2007)
Leo Galway, Darryl Charles, Michaela M. Black, Colin Fyfe
Temporal Difference Control within a Dynamic Environment. GAMEON (2007)
Ying Wu, Colin Fyfe, Pei Ling Lai
Stochastic Weights Reinforcement Learning for Exploratory Data Analysis. ICANN (1) (2007)
Colin Fyfe, Pei Ling Lai
Immediate Reward Reinforcement Learning for Projective Kernel Methods. ESANN (2007)
Nicolás García-Pedrajas, Colin Fyfe
Immune network based ensembles. Neurocomputing 70 (7-9) (2007)
Wesam Barbakh, Colin Fyfe
Clustering with Reinforcement Learning. IDEAL (2007)
Colin Fyfe, Wei Chuang Ooi, Hanseok Ko
Visualising and Clustering Video Data. IDEAL (2007)
Colin Fyfe
Two topographic maps for data visualisation. Data Min. Knowl. Discov. 14 (2) (2007)
Nicolás García-Pedrajas, Colin Fyfe
Immune Network based Ensembles. ESANN (2006)
Wesam Barbakh, Malcolm K. Crowe, Colin Fyfe
A Family of Novel Clustering Algorithms. IDEAL (2006)
Tzai-Der Wang, Colin Fyfe
Simulation of Cooperation for Price Competition in Oligopolies. SEAL (2006)
Steve Thatcher, Colin Fyfe
Twinned Topographic Maps for Decision Making in the Cockpit. KES (2) (2006)
Colin Fyfe, Gayle Leen
Stochastic Processes for Canonical Correlation Analysis. ESANN (2006)
Pei Ling Lai, Gayle Leen, Colin Fyfe
A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. IJCNN (2006)
Gayle Leen, Colin Fyfe
A Gaussian process latent variable model formulation of canonical correlation analysis. ESANN (2006)
Benoit Chaperot, Colin Fyfe
Improving Artificial Intelligence In a Motocross Game. CIG (2006)
Marian Pena, Colin Fyfe
Outlier identification with the Harmonic Topographic Mapping. ESANN (2006)
Colin Fyfe, Tzai-Der Wang, Shang Jen Chuang
Comparing Gaussian Processes and Artificial Neural Networks for Forecasting. JCIS (2006)
Colin Fyfe, Gayle Leen
Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis. ICONIP (1) (2006)
Pei Ling Lai, Colin Fyfe
A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. IJCNN (2006)
Marian Pena, Colin Fyfe
The Topographic Neural Gas. IDEAL (2006)
Pei Ling Lai, Gayle Leen, Colin Fyfe
The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis. ICANN (2) (2006)
Colin Fyfe, Lakhmi C. Jain
Teams of intelligent agents which learn using artificial immune systems. J. Netw. Comput. Appl. 29 (2-3) (2006)
Jinsong Leng, Colin Fyfe, Lakhmi C. Jain
Teamwork and Simulation in Hybrid Cognitive Architecture. KES (2) (2006)
Colin Fyfe
Local vs Global Models in Pong. ICANN (2) (2005)
Colin Fyfe
The Topographic Product of Experts. ICANN (1) (2005)
César Ignacio García-Osorio, Colin Fyfe
The combined use of self-organizing maps and andrews' curves. Int. J. Neural Syst. 15 (3) (2005)
Gayle Leen, Colin Fyfe
Training an AI Player to play Pong Using the GTM. CIG (2005)
César Ignacio García-Osorio, Colin Fyfe
Visualization of High-dimensional Data via Orthogonal Curves. J. Univers. Comput. Sci. 11 (11) (2005)
Oleksiy Dekhtyarenko, Valery Tereshko, Colin Fyfe
Phase transition in sparse associative neural networks. ESANN (2005)
César Ignacio García-Osorio, Colin Fyfe
Regaining sparsity in kernel principal components. Neurocomputing 67 (2005)
Colin Fyfe
Incrementally Learned Subjectivist Probabilities in Games. CIG (2005)
Iain Hossack, Douglas Robertson, Peter Tucker, Andrew Hursthouse, Colin Fyfe
A Gis And Web-Based Decision Support Tool For The Management Of Urban Soils. Cybern. Syst. 35 (4) (2004)
Donald MacDonald, Colin Fyfe
Strategy Selection in Games Using Co-evolution Between Artificial Immune Systems. ICEC (2004)
Emilio Corchado, Donald MacDonald, Colin Fyfe
Internet agents who structure concept formation using kernel self-organising maps. Int. J. Web Eng. Technol. 1 (4) (2004)
Steve Thatcher, Lakhmi C. Jain, Colin Fyfe
An Intelligent Aircraft Landing Support System. KES (2004)
Emilio Corchado, Donald MacDonald, Colin Fyfe
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. Data Min. Knowl. Discov. 8 (3) (2004)
Donald MacDonald, Emilio Corchado, Colin Fyfe
Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning. MICAI (2004)
Jos Koetsier, Ying Han, Colin Fyfe
Twinned principal curves. Neural Networks 17 (3) (2004)
Emilio Corchado, Colin Fyfe, Lourdes Sáiz Bárcena, Ana María Lara Palma
Development of a Global and Integral Model of Business Management Using an Unsupervised Model. IDEAL (2004)
Colin Fyfe
Dynamic Strategy Creation and Selection Using Artificial Immune Systems. Int. J. Intell. Games Simul. 3 (1) (2004)
Gayle Leen, Colin Fyfe
Agent Wars with Artificial Immune Systems. ICEC (2004)
Donald MacDonald, Jos Koetsier, Emilio Corchado, Colin Fyfe, Juan M. Corchado
A Kernel Method for Classification. MICAI (2004)
Colin Fyfe
Dual Stream Artificial Neural Networks. KES (2004)
Zhenkun Gou, Colin Fyfe
A canonical correlation neural network for multicollinearity and functional data. Neural Networks 17 (2) (2004)
Jos Koetsier, Emilio Corchado, Donald MacDonald, Juan M. Corchado, Colin Fyfe
Kernel Maximum Likelihood Hebbian Learning. International Conference on Computational Science (2004)
Tzai-Der Wang, Colin Fyfe
Traffic Jams: An Evolutionary Investigation. IAT (2004)
Ying Han, Emilio Corchado, Colin Fyfe
Forecasting using twinned principal curves and twinned self-organising maps. Neurocomputing 57 (2004)
César Ignacio García-Osorio, Jesús Maudes, Colin Fyfe
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. ESANN (2004)
Emilio Corchado, Colin Fyfe
An Extension of epsilon-Insensitive Hebbian Learning to Form a Non-Interfering Basis. Int. J. Comput. Intell. Appl. 3 (3) (2003)
Emilio Corchado, Colin Fyfe
Relevance and Kernel Self-Organising Maps. ICANN (2003)
Emilio Corchado, Colin Fyfe
Progressive Concept Formation in Self-Organising Maps. IWANN (1) (2003)
Emilio Corchado, Ying Han, Colin Fyfe
Structuring global responses of local filters using lateral connections. J. Exp. Theor. Artif. Intell. 15 (4) (2003)
Juan M. Corchado, Emilio Corchado, Jim Aiken, Colin Fyfe, Florentino Fernández Riverola, Manuel Gonzalez
Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systems. ICCBR (2003)
Emilio Corchado, Colin Fyfe
Initialising Self-Organising Maps. IDEAL (2003)
Emilio Corchado, Colin Fyfe
Connectionist Techniques For The Identification And Suppression Of Interfering Underlying Factors. Int. J. Pattern Recognit. Artif. Intell. 17 (8) (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Colin Fyfe