Julio J. Valdés

According to our database1, Julio J. Valdés authored at least 83 papers between 1989 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Inverse Mappings.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Direct Mappings.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Failure modeling in a gas turbine system: Combining classification with anomaly detection models for two data selection strategies.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Computational Intelligence Characterization of Solar Magnetograms.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Radar-based Noncontact Human Activity Classification Using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Failure Modeling of a Propulsion Subsystem: Unsupervised and Semi-Supervised Approaches to Anomaly Detection.
Int. J. Pattern Recognit. Artif. Intell., 2019

Machine Learning Approaches for Predicting the 10.7 cm Radio Flux from Solar Magnetogram Data.
Proceedings of the International Joint Conference on Neural Networks, 2019

Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Visualizing Learning Performance Data and Model Predictions as Objects in a 3D Space.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning.
Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019

2018
Extreme learning machines with heterogeneous data types.
Neurocomputing, 2018

Single Channel Continuous Wave Doppler Radar for Differentiating Types of Human Activity.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Helicopter load signal and fatigue life estimation using low dimensional spaces.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Visualization of Handwritten Signatures Based on Haptic Information.
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Improving Load Signal and Fatigue Life Estimation for Helicopter Components Using Computational Intelligence Techniques.
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Extreme Learning Machines for approximating nonlinear dimensionality reduction mappings: Application to Haptic handwritten signatures.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Heterogeneous extreme learning machines.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Haptic handwritten signatures: the effect of deconcentrated dissimilarities on manifold extraction.
Proceedings of the IEEE International Symposium on Haptic, 2015

2014
Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Identity verification based on handwritten signatures with haptic information using genetic programming.
ACM Trans. Multim. Comput. Commun. Appl., 2013

Identity verification based on haptic handwritten Signature: Novel fitness functions for GP framework.
Proceedings of the 2013 IEEE International Symposium on Haptic Audio Visual Environments and Games, 2013

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

Towards conservative helicopter loads prediction using computational intelligence techniques.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Identity verification based on haptic handwritten signatures: Genetic programming with unbalanced data.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, 2012

Use of evolutionary computation techniques for exploration and prediction of helicopter loads.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Computational intelligence methods for helicopter loads estimation.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Evolutionary computation methods for helicopter loads estimation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

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

2010
Finding order in chaos: a behavior model of the whole grid.
Concurr. Comput. Pract. Exp., 2010

Central england temperatures and solar activity: A Computational Intelligence approach.
Proceedings of the International Joint Conference on Neural Networks, 2010

Exploring the underlying structure of haptic-based handwritten signatures using visual data mining techniques.
Proceedings of the 2010 IEEE Haptics Symposium, 2010

Feature selection in haptic-based handwritten signatures using rough sets.
Proceedings of the FUZZ-IEEE 2010, 2010

Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Identification of Similarities among MS/MS Spectra from Human Brain.
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

Data Fusion via Nonlinear Space Transformations.
Proceedings of the ISCA First International Conference on Sensor Networks and Applications (SNA-2009), 2009

Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach.
Proceedings of the International Joint Conference on 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

Relevant Feature Selection and Generation in High Dimensional Haptic-based Biometric Data.
Proceedings of The 2009 International Conference on Data Mining, 2009

Feature selection and classification in genetic programming: Application to haptic-based biometric data.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 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

The Grid as a Single Entity: Towards a Behavior Model of the Whole Grid.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008, 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

Characterization of climatic variations in Spain at the regional scale: A computational intelligence approach.
Proceedings of the International Joint Conference on Neural Networks, 2008

Visualizing Human Behavioral Features based on Signature Haptic Data.
Proceedings of the 2008 Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 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

Computational intelligence in earth and environmental sciences.
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

Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting.
Proceedings of the International Joint Conference on Neural Networks, 2007

Greenland Temperatures and Solar Activity: A Computational Intelligence Approach.
Proceedings of the International Joint Conference on Neural Networks, 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
Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy.
Neural Networks, 2006

Computational intelligence in earth sciences and environmental applications: Issues and challenges.
Neural Networks, 2006

2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction.
Neural Networks, 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

Distributed Data Mining on Virtual Clusters.
Proceedings of the 20th Annual International Symposium on High Performance Computing Systems and Applications (HPCS 2006), 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
Data mining of gene expression changes in Alzheimer brain.
Artif. Intell. Medicine, 2004

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

2003
Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure.
Proceedings of the Rough Sets, 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

2002
Time Series Model Mining with Similarity-Based Neuro-Fuzzy Networks and Genetic Algorithms: A Parallel Implementation.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

2000
Fuzzy heterogeneous neurons for imprecise classification problems.
Int. J. Intell. Syst., 2000

Prediction of the bulking phenomenon in wastewater treatment plants.
Artif. Intell. Eng., 2000

Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Towards a model of input-output behaviour os wastewater treatment plants using soft computing techniques.
Environ. Model. Softw., 1999

Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

1997
A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1989
Partially ordered combining structures and multiple sources of knowledge evidences in rule-based expert systems.
Kybernetika, 1989


  Loading...