Julio J. Valdés
Orcid: 0000-0003-2930-0325
According to our database1,
Julio J. Valdés
authored at least 101 papers
between 1989 and 2023.
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Bibliography
2023
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning.
CoRR, 2023
Proceedings of the IEEE Sensors Applications Symposium, 2023
Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Explainable AI Applied to the Analysis of the Climatic Behavior of 11 Years of Meteosat Water Vapor Images.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Sensors Applications Symposium, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application.
Sensors, 2021
Int. J. Pattern Recognit. Artif. Intell., 2021
A Machine Learning - Explainable AI approach to tropospheric dynamics analysis using Water Vapor Meteosat images.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021
Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images.
Proceedings of the International Joint Conference on Neural Networks, 2021
Time Frequency Representations and Deep Convolutional Neural Networks: A Recipe for Molecular Properties Prediction.
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021
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
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
A Distributed Multimodal Multi-user Virtual Environment for Visualization and Query of Complex Data.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET, 2020
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
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
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
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
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
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
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
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
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
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
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
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
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
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
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
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
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
Artif. Intell. Medicine, 2004
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
An evolution strategies approach to the simultaneous discretization of numeric attributes in data mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 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
Int. J. Intell. Syst., 2000
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
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