Alan J. Barton

According to our database1, Alan J. Barton authored at least 28 papers between 2003 and 2012.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2012
Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data.
Expert Syst. Appl., 2012

2011
Genetic Programming for Exploring Medical Data using Visual Spaces.
Proceedings of the Genetic and Evolutionary Computation: Medical Applications, 2011

2010
Searching for a single mathematical function to address the nonlinear retention time shifts problem in nanoLC-MS data: A fuzzy-evolutionary computational proteomics approach.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Identification of Similarities among MS/MS Spectra from Human Brain.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010

Nonlinear Retention Time Shifts in nanoLC-MS Data: A Fuzzy-Evolutionary Computational Proteomics Approach.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010

2009
Visualizing Cancer Databases Using Hybrid Spaces.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Neural Network-Based Visual Data Mining for Cancer Data.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming.
Neural Networks, 2009

Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Analysis of mass spectrometry data of cerebral stroke samples: an evolutionary computation approach to resolve and quantify peptide peaks.
Genet. Program. Evolvable Mach., 2008

Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Gastric and Liver Cancer Databases: An Evolutionary Computation Approach.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

2007
Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy.
Trans. Rough Sets, 2007

Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting.
Neural Networks, 2007

Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach.
Proceedings of the Computational and Ambient Intelligence, 2007

Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective.
Proceedings of the Computational and Ambient Intelligence, 2007

Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry.
Proceedings of the International Joint Conference on Neural Networks, 2007

Exploring medical data using visual spaces with genetic programming and implicit functional mappings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Computational intelligence techniques: a study of scleroderma skin disease.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Visualizing high dimensional objective spaces for multi-objective optimization: A virtual reality approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting.
Proceedings of the International Joint Conference on Neural Networks, 2006

Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Virtual Reality Spaces for Visual Data Mining with Multiobjective Evolutionary Optimization: Implicit and Explicit Function Representations Mixing Unsupervised and Supervised Properties.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Relevant Attribute Discovery in High Dimensional Data Based on Rough Sets and Unsupervised Classification: Application to Leukemia Gene Expressions.
Proceedings of the Rough Sets, 2005

2004
Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004

2003
Mining Multivariate Time Series Models with Soft-Computing Techniques: A Coarse-Grained Parallel Computing Approach.
Proceedings of the Computational Science and Its Applications, 2003


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