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2010 – 2019
- 2012
[j5]Julio J. Valdés, Enrique Romero, Alan J. Barton:
Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data. Expert Syst. Appl. 39(18): 13193-13201 (2012)- 2011
- [p1]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
- [c21]Alan J. Barton, Arsalan S. Haqqani, Julio J. Valdés:
Identification of Similarities among MS/MS Spectra from Human Brain. BICoB 2010: 86-91 - [c20]Alan J. Barton, Arsalan S. Haqqani:
Nonlinear Retention Time Shifts in nanoLC-MS Data: A Fuzzy-Evolutionary Computational Proteomics Approach. BICoB 2010: 139-144 - [c19]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
2000 – 2009
- 2009
- [j4]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) - [c18]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 - [r2]Enrique Romero, Julio J. Valdés, Alan J. Barton:
Neural Network-Based Visual Data Mining for Cancer Data. Encyclopedia of Artificial Intelligence 2009: 1205-1211 - [r1]Julio J. Valdés, Alan J. Barton:
Visualizing Cancer Databases Using Hybrid Spaces. Encyclopedia of Artificial Intelligence 2009: 1589-1595 - 2008
- [j3]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. Genet. Program. Evolvable Mach. 9(3): 257-274 (2008) - [c17]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 - [c16]Alan J. Barton, Julio J. Valdés:
Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers. RSCTC 2008: 485-494 - 2007
- [j2]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) - [j1]Julio J. Valdés, Alan J. Barton:
Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy. Trans. Rough Sets 6: 366-396 (2007) - [c15]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 - [c14]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 - [c13]Julio J. Valdés, Alan J. Barton:
Computational intelligence techniques: a study of scleroderma skin disease. GECCO (Companion) 2007: 2580-2587 - [c12]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 - [c11]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 - [c10]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 - [c9]Julio J. Valdés, Alan J. Barton:
Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach. IWANN 2007: 1028-1035 - 2006
- [c8]Julio J. Valdés, Alan J. Barton:
Virtual Reality Spaces for Visual Data Mining with Multiobjective Evolutionary Optimization: Implicit and Explicit Function Representations Mixing Unsupervised and Supervised Properties. IEEE Congress on Evolutionary Computation 2006: 1442-1449 - [c7]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 - [c6]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 - [c5]Julio J. Valdés, Alan J. Barton:
Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions. RSKT 2006: 482-489 - 2005
- [c4]Julio J. Valdés, Alan J. Barton:
Virtual reality visual data mining with nonlinear discriminant neural networks: application to leukemia and Alzheimer gene expression data. IJCNN 2005: 2475-2480 - [c3]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
- [c2]Julio J. Valdés, Alan J. Barton:
Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective. IEA/AIE 2004: 118-127 - 2003
- [c1]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
Coauthor Index
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