J. Valdés

发表

Granular Computing Methods in Bioinformatics* Granular Computing Methods in Bioinformatics

J. Valdés, 2007 .

Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach.

Julio J. Valdés, Antonio Pou, A. Pou, 2009, 2009 International Joint Conference on Neural Networks.

The Analysis of Mass Spectrometry Data to Resolve and Quantify Peptide Peaks in Cerebral Stroke Samples: An Evolutionary Computation

J. Valdés, A. Haqqani, A. Barton, 2006 .

Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties

A. Tchagang, J. Valdés, J. J. Valdés, 2022, 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images

A. Pou, J. Valdés, J. J. Valdés, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Time Dependent NeuralNetwork ModelsFor Detecting Changes Of State InEarth andPlanetary

J. Valdés, 2005 .

Cough Classification Using Audio Spectrogram Transformer

F. Knoefel, J. Valdés, Madison Cohen-McFarlane, 2022, 2022 IEEE Sensors Applications Symposium (SAS).

Computational Intelligence Approach for the Analysis of Estuary Hypoxia Phenomena

J. Valdés, Guillaume Durand, Michael Coffin, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction

Julio J. Valdés, Dimitri P. Solomatine, Vladimir Cherkassky, 2006, Neural Networks.

Computational intelligence in earth and environmental sciences

Julio J. Valdés, Dimitri P. Solomatine, Vladimir Cherkassky, 2007, Neural Networks.

Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective

Julio J. Valdés, Alan J. Barton, J. Valdés, 2004, IEA/AIE.

Time Series Model Mining with Similarity-Based Neuro-Fuzzy Networks and Genetic Algorithms: A Parallel Implementation

Julio J. Valdés, Gabriel Mateescu, G. Mateescu, 2002, Rough Sets and Current Trends in Computing.

Time series models discovery with similarity-based neuro-fuzzy networks and evolutionary algorithms

J. Valdés, J.J. Valdes, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Prediction of the bulking phenomenon in wastewater treatment plants

Lluís A. Belanche Muñoz, Julio J. Valdés, Ignasi Rodríguez-Roda, 2000, Artif. Intell. Eng..

Visual Data Mining with Virtual Reality Spaces

Julio J. Valdes, J. Valdés, 2017 .

Nrc Publications Archive (nparc) Archives Des Publications Du Cnrc (nparc) Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers * Compu

Julio J. Valdés, Alan J. Barton, J. Valdés, 2022 .

Analysis of mass spectrometry data of cerebral stroke samples: an evolutionary computation approach to resolve and quantify peptide peaks

Julio J. Valdés, Alan J. Barton, Arsalan S. Haqqani, 2008, Genetic Programming and Evolvable Machines.

Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy

Julio J. Valdés, Alan J. Barton, J. Valdés, 2007, Trans. Rough Sets.

Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2019, ICANN.

Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry

Julio J. Valdés, Alan J. Barton, J. Valdés, 2007, 2007 International Joint Conference on Neural Networks.

Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: application to geophysical prospecting

Enrique Romero, Julio J. Valdés, Ruben Gonzalez, 2020 .

Visualizing high dimensional objective spaces for multi-objective optimization: A virtual reality approach

Julio J. Valdés, Alan J. Barton, J. Valdés, 2007, 2007 IEEE Congress on Evolutionary Computation.

Archive ( NPArC ) Archives des publications du CNRC ( NPArC ) Virtual Reality High Dimensional Objective Spaces for Multi-Objective Optimization : An Improved Representation

Julio J. Valdés, Robert Orchard, Alan J. Barton, 2010 .

Computational intelligence techniques: a study of scleroderma skin disease

Julio J. Valdés, Alan J. Barton, J. Valdés, 2007, GECCO '07.

Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting

Julio J. Valdés, Alan J. Barton, J. Valdés, 2007, Neural Networks.

Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions

Julio J. Valdés, Alan J. Barton, J. Valdés, 2006, RSKT.

Behavior analysis of fractal features for texture description in digital images: an experimental study

Julio J. Valdés, Luis Carlos Molina, Sergio Espinosa, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Finding order in chaos: a behavior model of the whole grid

María S. Pérez-Hernández, Julio J. Valdés, Pilar Herrero, 2010, Concurr. Comput. Pract. Exp..

Computational intelligence in earth sciences and environmental applications: Issues and challenges

Julio J. Valdés, Dimitri P. Solomatine, Vladimir Cherkassky, 2006, Neural Networks.

Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring

Julio J. Valdés, Catherine Cheung, Matthew Li, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Permission is granted to quote short excerpts and to reproduce figures and tables from this report, provided that the source of such material is fully acknowledged. Data Mining of Gene Expression Changes in

Julio J. Valdés, Fazel Famili, Brandon Smith, 2003 .

Fuzzy heterogeneous neurons for imprecise classification problems

Lluís A. Belanche Muñoz, Julio J. Valdés, René Alquézar, 2000, Int. J. Intell. Syst..

Towards a model of input-output behaviour os wastewater treatment plants using soft computing techniques

Lluís A. Belanche Muñoz, Julio J. Valdés, Ignasi Rodríguez-Roda, 1999, Environ. Model. Softw..

Fuzzy Heterogeneous Neural Networks for Signal Forecasting

Julio J. Valdés, René Alquézar, Lluís A. Belanche, 1998 .

Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Inverse Mappings

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Direct Mappings

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Radar-based Noncontact Human Activity Classification Using Genetic Programming

Julio J. Valdés, Sreeraman Rajan, Miodrag Bolic, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Extreme learning machines with heterogeneous data types

Julio J. Valdés, J. Valdés, J. J. Valdés, 2018, Neurocomputing.

Helicopter load signal and fatigue life estimation using low dimensional spaces

Julio J. Valdés, Catherine Cheung, Alejandro Lehman Rubio, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Visualization of Handwritten Signatures Based on Haptic Information

Abdulmotaleb El-Saddik, Julio J. Valdés, Fawaz A. Alsulaiman, 2016, Recent Advances in Computational Intelligence in Defense and Security.

Potential energy savings from high-resolution sensor controls for LED lighting

Julio J. Valdés, Henry Xue, Guy R. Newsham, 2018 .

Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining

Julio J. Valdés, J. Valdés, J. J. Valdés, 2010, IEEE Congress on Evolutionary Computation.

Identity verification based on haptic handwritten Signature: Novel fitness functions for GP framework

Abdulmotaleb El-Saddik, Julio J. Valdés, Fawaz A. Alsulaiman, 2013, 2013 IEEE International Symposium on Haptic Audio Visual Environments and Games (HAVE).

Identity verification based on haptic handwritten signatures: Genetic programming with unbalanced data

Abdulmotaleb El-Saddik, Julio J. Valdés, Fawaz A. Alsulaiman, 2012, 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications.

Central england temperatures and solar activity: A Computational Intelligence approach

Julio J. Valdés, Antonio Pou, A. Pou, 2007, The 2010 International Joint Conference on Neural Networks (IJCNN).

Exploring medical data using visual spaces with genetic programming and implicit functional mappings

Julio J. Valdés, Robert Orchard, Alan J. Barton, 2007, GECCO '07.

Greenland Temperatures and Solar Activity: A Computational Intelligence Approach

Julio J. Valdés, Antonio Pou, A. Pou, 2007, 2007 International Joint Conference on Neural Networks.

A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems

Julio J. Valdés, Ricardo García, J. Valdés, 1997, IWANN.

Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data

Enrique Romero, Julio J. Valdés, Alan J. Barton, 2012 .

Feature selection in haptic-based handwritten signatures using rough sets

Abdulmotaleb El-Saddik, Nizar Sakr, Julio J. Valdés, 2010, International Conference on Fuzzy Systems.

Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective

Enrique Romero, Julio J. Valdés, Alan J. Barton, 2007, IWANN.

Relevant Attribute Discovery in High Dimensional Data Based on Rough Sets Applications to Leukemia Gene Expressions

Julio J. Valdés, Alan J. Barton, J. Valdés, 2005 .

An evolution strategies approach to the simultaneous discretization of numeric attributes in data mining

Julio J. Valdés, Luis Carlos Molina, L. Molina, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Data Mining Meets Grid Computing: Time to Dance?

Julio J. Valdés, Werner Dubitzky, Jesús Montes, 2009 .

The Grid as a Single Entity: Towards a Behavior Model of the Whole Grid

Jesús Montes, María S. Pérez-Hernández, Julio J. Valdés, 2008, OTM Conferences.

Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach

Julio J. Valdés, Alan J. Barton, J. Valdés, 2007, IWANN.

Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions

Julio J. Valdés, Alan J. Barton, J. Valdés, 2006, GECCO '06.

Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy

Julio J. Valdés, Graeme Bonham-Carter, G. Bonham-Carter, 2006, Neural Networks.

Time Frequency Representations and Deep Convolutional Neural Networks: A Recipe for Molecular Properties Prediction

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2021, 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

A Distributed Multimodal Multi-user Virtual Environment for Visualization and Query of Complex Data

Julio J. Valdés, Norman G. Vinson, Luc Belliveau, 2020, IHIET.

Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2019, ICANN.

Identity verification based on handwritten signatures with haptic information using genetic programming

Abdulmotaleb El-Saddik, Nizar Sakr, Julio J. Valdés, 2013, TOMCCAP.

Feature selection and classification in genetic programming: Application to haptic-based biometric data

Abdulmotaleb El-Saddik, Nizar Sakr, Julio J. Valdés, 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.

Explainable AI Applied to the Analysis of the Climatic Behavior of 11 Years of Meteosat Water Vapor Images

A. Pou, J. Valdés, 2022, 2022 IEEE Symposium Series on Computational Intelligence (SSCI).

Haptic handwritten signatures: the effect of deconcentrated dissimilarities on manifold extraction

Abdulmotaleb El-Saddik, Julio J. Valdés, Fawaz A. Alsulaiman, 2015, 2015 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE).

Single Channel Continuous Wave Doppler Radar for Differentiating Types of Human Activity

Julio J. Valdés, Sreeraman Rajan, Miodrag Bolic, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Process Mining as a Time Series Analysis Tool via Graph Kernels

A. Pou, J. Valdés, Yaimara Céspedes-González, 2021, Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1.

Process Mining Capabilities Extended to Time Series Analysis as Applied to Meteosat Water Vapor Images

A. Pou, J. Valdés, Yaimara Céspedes-González, 2021, Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1.

Machine Learning Based Electronic Structure Predictors in Single-Atom Alloys: A Model Study of CO Kink-Site Adsorption across Transition Metal Substrates

Shuaishuai Yuan, K. Bevan, A. Tchagang, 2023, Journal of Physical Chemistry C.

Failure modeling in a gas turbine system: Combining classification with anomaly detection models for two data selection strategies

Catherine Cheung, Davis To, Julio Valdés, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Machine Learning Approaches for Predicting the 10.7 cm Radio Flux from Solar Magnetogram Data

Julio J. Valdés, Ljubomir Nikolić, Kenneth Tapping, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).