 | 2011 |
|---|
| 26 |       | Julio J. Valdés,
Alan J. Barton,
Robert Orchard:
Genetic Programming for Exploring Medical Data using Visual Spaces.
Genetic and Evolutionary Computation: Medical Applications 2011 |
| 2010 |
|---|
| 25 | | Alan J. Barton,
Arsalan S. Haqqani:
Nonlinear Retention Time Shifts in nanoLC-MS Data: A Fuzzy-Evolutionary Computational Proteomics Approach.
BICoB 2010: 139-144 |
| 24 | | Alan J. Barton,
Arsalan S. Haqqani,
Julio J. Valdés:
Identification of Similarities among MS/MS Spectra from Human Brain.
BICoB 2010: 86-91 |
| 23 |  | Alan J. Barton:
Searching for a single mathematical function to address the nonlinear retention time shifts problem in nanoLC-MS data: A fuzzy-evolutionary computational proteomics approach.
CIBCB 2010: 1-8 |
| 2009 |
|---|
| 22 | | Alan J. Barton,
Julio J. Valdés,
Robert Orchard:
Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology.
IJCNN 2009: 264-271 |
| 21 | | Enrique Romero,
Julio J. Valdés,
Alan J. Barton:
Neural Network-Based Visual Data Mining for Cancer Data.
Encyclopedia of Artificial Intelligence 2009: 1205-1211 |
| 20 | | Julio J. Valdés,
Alan J. Barton:
Visualizing Cancer Databases Using Hybrid Spaces.
Encyclopedia of Artificial Intelligence 2009: 1589-1595 |
| 19 | | Alan J. Barton,
Julio J. Valdés,
Robert Orchard:
Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming.
Neural Networks 22(5-6): 614-622 (2009) |
| 2008 |
|---|
| 18 | | Alan J. Barton,
Julio J. Valdés:
Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Gastric and Liver Cancer Databases: An Evolutionary Computation Approach.
ISMIS 2008: 256-261 |
| 17 | | Alan J. Barton,
Julio J. Valdés:
Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers.
RSCTC 2008: 485-494 |
| 16 | | Julio J. Valdés,
Alan J. Barton,
Arsalan S. Haqqani:
Analysis of mass spectrometry data of cerebral stroke samples: an evolutionary computation approach to resolve and quantify peptide peaks.
Genetic Programming and Evolvable Machines 9(3): 257-274 (2008) |
| 2007 |
|---|
| 15 | | Julio J. Valdés,
Alan J. Barton:
Computational intelligence techniques: a study of scleroderma skin disease.
GECCO (Companion) 2007: 2580-2587 |
| 14 | | Julio J. Valdés,
Robert Orchard,
Alan J. Barton:
Exploring medical data using visual spaces with genetic programming and implicit functional mappings.
GECCO (Companion) 2007: 2953-2960 |
| 13 | | Julio J. Valdés,
Alan J. Barton,
Robert Orchard:
Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation.
IEEE Congress on Evolutionary Computation 2007: 4191-4198 |
| 12 | | Julio J. Valdés,
Alan J. Barton:
Visualizing high dimensional objective spaces for multi-objective optimization: A virtual reality approach.
IEEE Congress on Evolutionary Computation 2007: 4199-4206 |
| 11 | | Julio J. Valdés,
Alan J. Barton:
Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry.
IJCNN 2007: 2233-2238 |
| 10 | | Enrique Romero,
Julio J. Valdés,
Alan J. Barton:
Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective.
IWANN 2007: 1020-1027 |
| 9 | | Julio J. Valdés,
Alan J. Barton:
Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach.
IWANN 2007: 1028-1035 |
| 8 | | Julio J. Valdés,
Alan J. Barton:
Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting.
Neural Networks 20(4): 498-508 (2007) |
| 7 | | Julio J. Valdés,
Alan J. Barton:
Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy.
T. Rough Sets 6: 366-396 (2007) |
| 2006 |
|---|
| 6 | | Julio J. Valdés,
Alan J. Barton:
Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions.
GECCO 2006: 723-730 |
| 5 | | Julio J. Valdés,
Alan J. Barton:
Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting.
IJCNN 2006: 4862-4869 |
| 4 | | Julio J. Valdés,
Alan J. Barton:
Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions.
RSKT 2006: 482-489 |
| 2005 |
|---|
| 3 | | Julio J. Valdés,
Alan J. Barton:
Relevant Attribute Discovery in High Dimensional Data Based on Rough Sets and Unsupervised Classification: Application to Leukemia Gene Expressions.
RSFDGrC (2) 2005: 362-371 |
| 2004 |
|---|
| 2 | | Julio J. Valdés,
Alan J. Barton:
Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective.
IEA/AIE 2004: 118-127 |
| 2003 |
|---|
| 1 | | Julio J. Valdés,
Alan J. Barton:
Mining Multivariate Time Series Models with Soft-Computing Techniques: A Coarse-Grained Parallel Computing Approach.
ICCSA (2) 2003: 259-268 |
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