2008 |
35 | EE | Julio J. Valdés,
Antonio Pou,
Robert Orchard:
Characterization of climatic variations in Spain at the regional scale: A computational intelligence approach.
IJCNN 2008: 470-476 |
34 | EE | 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 |
33 | EE | Jesús Montes,
Alberto Sánchez,
Julio J. Valdés,
María S. Pérez,
Pilar Herrero:
The Grid as a Single Entity: Towards a Behavior Model of the Whole Grid.
OTM Conferences (1) 2008: 886-897 |
32 | EE | Alan J. Barton,
Julio J. Valdés:
Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers.
RSCTC 2008: 485-494 |
31 | EE | 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 |
30 | EE | Julio J. Valdés,
Alan J. Barton:
Computational intelligence techniques: a study of scleroderma skin disease.
GECCO (Companion) 2007: 2580-2587 |
29 | EE | 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 |
28 | EE | 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 |
27 | EE | 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 |
26 | EE | Julio J. Valdés,
Antonio Pou:
Greenland Temperatures and Solar Activity: A Computational Intelligence Approach.
IJCNN 2007: 1536-1541 |
25 | EE | Julio J. Valdés,
Enrique Romero,
Ruben Gonzalez:
Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting.
IJCNN 2007: 160-165 |
24 | EE | 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 |
23 | EE | 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 |
22 | EE | Julio J. Valdés,
Alan J. Barton:
Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach.
IWANN 2007: 1028-1035 |
21 | EE | Vladimir Cherkassky,
William Hsieh,
Vladimir M. Krasnopolsky,
Dimitri P. Solomatine,
Julio J. Valdés:
Computational intelligence in earth and environmental sciences.
Neural Networks 20(4): 433 (2007) |
20 | EE | 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) |
19 | EE | 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 |
18 | EE | 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 |
17 | EE | Gabriel Mateescu,
Julio J. Valdés:
Distributed Data Mining on Virtual Clusters.
HPCS 2006: 6 |
16 | EE | 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 |
15 | EE | Julio J. Valdés,
Alan J. Barton:
Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions.
RSKT 2006: 482-489 |
14 | EE | Vladimir Cherkassky,
Vladimir M. Krasnopolsky,
Dimitri P. Solomatine,
Julio J. Valdés:
2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction.
Neural Networks 19(2): 111 (2006) |
13 | EE | Vladimir Cherkassky,
Vladimir M. Krasnopolsky,
Dimitri P. Solomatine,
Julio J. Valdés:
Computational intelligence in earth sciences and environmental applications: Issues and challenges.
Neural Networks 19(2): 113-121 (2006) |
12 | EE | Julio J. Valdés,
Graeme Bonham-Carter:
Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy.
Neural Networks 19(2): 196-207 (2006) |
2005 |
11 | EE | 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 |
10 | EE | Julio J. Valdés,
Alan J. Barton:
Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective.
IEA/AIE 2004: 118-127 |
9 | EE | P. Roy Walker,
Brandon Smith,
Qing Yan Liu,
A. Fazel Famili,
Julio J. Valdés,
Ziying Liu,
Boleslaw Lach:
Data mining of gene expression changes in Alzheimer brain.
Artificial Intelligence in Medicine 31(2): 137-154 (2004) |
2003 |
8 | EE | 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 |
7 | EE | Julio J. Valdés:
Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure.
RSFDGrC 2003: 615-618 |
2002 |
6 | EE | Julio J. Valdés,
Gabriel Mateescu:
Time Series Model Mining with Similarity-Based Neuro-Fuzzy Networks and Genetic Algorithms: A Parallel Implementation.
Rough Sets and Current Trends in Computing 2002: 279-288 |
2000 |
5 | EE | Julio J. Valdés,
Luis Carlos Molina,
Sergio Espinosa:
Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study.
ICPR 2000: 3917-3920 |
4 | EE | Lluís A. Belanche Muñoz,
Julio J. Valdés,
Joaquim Comas,
Ignasi Rodríguez-Roda,
Manel Poch:
Prediction of the bulking phenomenon in wastewater treatment plants.
AI in Engineering 14(4): 307-317 (2000) |
1999 |
3 | | Lluís Belanche,
Julio J. Valdés:
Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks.
IWANN (2) 1999: 863-873 |
2 | | Lluís A. Belanche Muñoz,
Julio J. Valdés,
Joaquim Comas,
Ignasi R.-Roda,
Manel Poch:
Towards a model of input-output behaviour os wastewater treatment plants using soft computing techniques.
Environmental Modelling and Software 14(5): 409-419 (1999) |
1997 |
1 | | Julio J. Valdés,
Ricardo García:
A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems.
IWANN 1997: 237-246 |