Julio J. Valdés

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 39

Top Venues

IJCNN

SSCI

MeMeA

Int. J. Pattern Recognit. Artif. Intell.

Publications

Julio J. Valdés, Alain B. Tchagang
Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets. J. Comput. Chem. 45 (15) (2024)
Mahya Shahmohammadimehrjardi, R. Bruce Wallace, Adrian D. C. Chan, Rafik Goubran, Pengcheng Xi, Julio J. Valdés
Multi-Level Method for Sound Source Location Measurement. I2MTC (2024)
Brady Laska, Pengcheng Xi, Julio J. Valdés, R. Bruce Wallace, Rafik Goubran
Zero-Shot Multi-Task Cough Sound Analysis with Speech Foundation Model Embeddings. MeMeA (2024)
Brady Laska, Julio J. Valdés, Pengcheng Xi, Rafik Goubran, Bruce Wallace, Madison Cohen-McFarlane, Frank Knoefel
Cough Sound Analysis using Vocal Tract Models. I2MTC (2024)
Julio J. Valdés, Alain B. Tchagang
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning. CoRR (2023)
Saiful Huq, Pengcheng Xi, Rafik Goubran, Julio J. Valdés, Frank Knoefel, James R. Green
Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification. MeMeA (2023)
Zhenyu Zhang, Yichun Shen, Julio J. Valdés, Saiful Huq, Bruce Wallace, James Green, Pengcheng Xi, Rafik Goubran
Domestic Sound Classification with Deep Learning. SAS (2023)
Julio J. Valdés, Alain B. Tchagang
Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. IJCNN (2023)
Guillaume Durand, Julio J. Valdés, Michael Coffin, Md Monwer Hussain, Luke Poirier
Computational Intelligence Approach for the Analysis of Estuary Hypoxia Phenomena. IJCNN (2022)
Alain B. Tchagang, Julio J. Valdés
Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties. CIBCB (2022)
Julio J. Valdés, Antonio Pou
Explainable AI Applied to the Analysis of the Climatic Behavior of 11 Years of Meteosat Water Vapor Images. SSCI (2022)
Julio J. Valdés, Karim Habashy, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel
Cough Classification with Deep Derived Features using Audio Spectrogram Transformer. Big Data (2022)
Karim Habashy, Julio J. Valdés, Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel
Cough Classification Using Audio Spectrogram Transformer. SAS (2022)
Julio J. Valdés, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel
Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization. MeMeA (2021)
Shashank Pant, Parham Nooralishahi, Nicolas P. Avdelidis, Clemente Ibarra-Castanedo, Marc Genest, Shakeb Deane, Julio J. Valdés, Argyrios C. Zolotas, Xavier P. V. Maldague
Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application. Sensors 21 (5) (2021)
Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Julio J. Valdés, Rafik Goubran, Frank Knoefel
Impact of face coverings on cough measurement characterization. MeMeA (2021)
Alain B. Tchagang, Julio J. Valdés
Time Frequency Representations and Deep Convolutional Neural Networks: A Recipe for Molecular Properties Prediction. CCECE (2021)
Julio J. Valdés, Antonio Pou
Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images. IJCNN (2021)
Julio J. Valdés, Antonio Pou
A Machine Learning - Explainable AI approach to tropospheric dynamics analysis using Water Vapor Meteosat images. SSCI (2021)
Alessandro Maria Selvitella, Julio J. Valdés
An Extension of the Gamma Test Statistics to Binary Variables and Some Applications. Int. J. Pattern Recognit. Artif. Intell. 35 (10) (2021)
Julio J. Valdés, Alain B. Tchagang
Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Inverse Mappings. SSCI (2020)
Jean-François Lapointe, Julio J. Valdés, Luc Belliveau, Norman G. Vinson, Bruno Emond, Serge Léger
A Distributed Multimodal Multi-user Virtual Environment for Visualization and Query of Complex Data. IHIET (Lausanne) (2020)
Julio J. Valdés, Ljubomir Nikolic, Simone Disabato, Manuel Roveri
A Computational Intelligence Characterization of Solar Magnetograms. IJCNN (2020)
Julio J. Valdés, Zachary Baird, Sreeraman Rajan, Miodrag Bolic
Radar-based Noncontact Human Activity Classification Using Genetic Programming. CEC (2020)
Catherine Cheung, Davis To, Julio J. Valdés
Failure modeling in a gas turbine system: Combining classification with anomaly detection models for two data selection strategies. SSCI (2020)
Julio J. Valdés, Alain B. Tchagang
Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Direct Mappings. SSCI (2020)
Alain B. Tchagang, Julio J. Valdés
Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks. ICANN (Workshop) (2019)
Alain B. Tchagang, Julio J. Valdés
Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning. CCECE (2019)
Julio J. Valdés, Alain B. Tchagang
Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach. ICANN (Workshop) (2019)
Bruno Emond, Julio J. Valdés
Visualizing Learning Performance Data and Model Predictions as Objects in a 3D Space. EDM (2019)
Julio J. Valdés, Ljubomir Nikolic, Kenneth Tapping
Machine Learning Approaches for Predicting the 10.7 cm Radio Flux from Solar Magnetogram Data. IJCNN (2019)
Catherine Cheung, Julio J. Valdés, Richard Salas Chavez, Srishti Sehgal
Failure Modeling of a Propulsion Subsystem: Unsupervised and Semi-Supervised Approaches to Anomaly Detection. Int. J. Pattern Recognit. Artif. Intell. 33 (11) (2019)
Julio J. Valdés
Extreme learning machines with heterogeneous data types. Neurocomputing 277 (2018)
Julio J. Valdés, Zachary Baird, Sreeraman Rajan, Miodrag Bolic
Single Channel Continuous Wave Doppler Radar for Differentiating Types of Human Activity. IJCNN (2018)
Julio J. Valdés, Catherine Cheung, Alejandro Lehman Rubio
Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation. IJCNN (2017)
Catherine Cheung, Julio J. Valdés, Alejandro Lehman Rubio
Helicopter load signal and fatigue life estimation using low dimensional spaces. IJCNN (2017)
Julio J. Valdés
Heterogeneous extreme learning machines. IJCNN (2016)
Julio J. Valdés, Fawaz A. Alsulaiman, Abdulmotaleb El-Saddik
Extreme Learning Machines for approximating nonlinear dimensionality reduction mappings: Application to Haptic handwritten signatures. IJCNN (2016)
Julio J. Valdés, Fawaz A. Alsulaiman, Abdulmotaleb El-Saddik
Haptic handwritten signatures: the effect of deconcentrated dissimilarities on manifold extraction. HAVE (2015)
Julio J. Valdés, Catherine Cheung, Matthew Li
Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring. CIDM (2014)
Fawaz A. Alsulaiman, Nizar Sakr, Julio J. Valdés, Abdulmotaleb El-Saddik
Identity verification based on handwritten signatures with haptic information using genetic programming. ACM Trans. Multim. Comput. Commun. Appl. 9 (2) (2013)
Fawaz A. Alsulaiman, Julio J. Valdés, Abdulmotaleb El-Saddik
Identity verification based on haptic handwritten Signature: Novel fitness functions for GP framework. HAVE (2013)
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) (2012)
Catherine Cheung, Julio J. Valdés, Matthew Li
Use of evolutionary computation techniques for exploration and prediction of helicopter loads. IEEE Congress on Evolutionary Computation (2012)
Fawaz A. Alsulaiman, Julio J. Valdés, Abdulmotaleb El-Saddik
Identity verification based on haptic handwritten signatures: Genetic programming with unbalanced data. CISDA (2012)
Julio J. Valdés, Catherine Cheung, Matthew Li
Towards conservative helicopter loads prediction using computational intelligence techniques. IJCNN (2012)
Julio J. Valdés, Catherine Cheung, Weichao Wang
Computational intelligence methods for helicopter loads estimation. IJCNN (2011)
Julio J. Valdés, Catherine Cheung, Weichao Wang
Evolutionary computation methods for helicopter loads estimation. IEEE Congress on Evolutionary Computation (2011)
Nizar Sakr, Fawaz A. Alsulaiman, Julio J. Valdés, Abdulmotaleb El-Saddik, Nicolas D. Georganas
Exploring the underlying structure of haptic-based handwritten signatures using visual data mining techniques. HAPTICS (2010)
Julio J. Valdés, Antonio Pou
Central england temperatures and solar activity: A Computational Intelligence approach. IJCNN (2010)
Julio J. Valdés
Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining. IEEE Congress on Evolutionary Computation (2010)
Jesús Montes, Alberto Sánchez, Julio J. Valdés, María S. Pérez, Pilar Herrero
Finding order in chaos: a behavior model of the whole grid. Concurr. Comput. Pract. Exp. 22 (11) (2010)
Alan J. Barton, Arsalan S. Haqqani, Julio J. Valdés
Identification of Similarities among MS/MS Spectra from Human Brain. BICoB (2010)
Nizar Sakr, Fawaz A. Alsulaiman, Julio J. Valdés, Abdulmotaleb El-Saddik, Nicolas D. Georganas
Feature selection in haptic-based handwritten signatures using rough sets. FUZZ-IEEE (2010)
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)
Nizar Sakr, Fawaz A. Alsulaiman, Julio J. Valdés, Abdulmotaleb El-Saddik, Nicolas D. Georganas
Relevant Feature Selection and Generation in High Dimensional Haptic-based Biometric Data. DMIN (2009)
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) (2009)
Julio J. Valdés, Antonio Pou
Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach. IJCNN (2009)
Julio J. Valdés, Sylvain Létourneau, Chunsheng Yang
Data Fusion via Nonlinear Space Transformations. SNA (2009)
Fawaz A. Alsulaiman, Nizar Sakr, Julio J. Valdés, Abdulmotaleb El-Saddik, Nicolas D. Georganas
Feature selection and classification in genetic programming: Application to haptic-based biometric data. CISDA (2009)
Alan J. Barton, Julio J. Valdés
Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers. RSCTC (2008)
Julio J. Valdés, Antonio Pou, Robert Orchard
Characterization of climatic variations in Spain at the regional scale: A computational intelligence approach. IJCNN (2008)
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)
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)
Rosa Iglesias, Mauricio Orozco Trujillo, Julio J. Valdés, Abdulmotaleb El-Saddik
Visualizing Human Behavioral Features based on Signature Haptic Data. HAPTICS (2008)
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) (2008)
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)
Julio J. Valdés, Alan J. Barton
Computational intelligence techniques: a study of scleroderma skin disease. GECCO (Companion) (2007)
Julio J. Valdés, Alan J. Barton
Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry. IJCNN (2007)
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)
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) (2007)
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)
Julio J. Valdés, Alan J. Barton
Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach. IWANN (2007)
Julio J. Valdés, Alan J. Barton
Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy. Trans. Rough Sets 6 (2007)
Julio J. Valdés, Robert Orchard, Alan J. Barton
Exploring medical data using visual spaces with genetic programming and implicit functional mappings. GECCO (Companion) (2007)
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)
Julio J. Valdés, Antonio Pou
Greenland Temperatures and Solar Activity: A Computational Intelligence Approach. IJCNN (2007)
Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
Computational intelligence in earth and environmental sciences. Neural Networks 20 (4) (2007)
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) (2006)
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) (2006)
Gabriel Mateescu, Julio J. Valdés
Distributed Data Mining on Virtual Clusters. HPCS (2006)
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) (2006)
Julio J. Valdés, Alan J. Barton
Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions. GECCO (2006)
Julio J. Valdés, Alan J. Barton
Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions. RSKT (2006)
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)
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)
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)
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. Artif. Intell. Medicine 31 (2) (2004)
Julio J. Valdés, Alan J. Barton
Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective. IEA/AIE (2004)
Julio J. Valdés, Alan J. Barton
Mining Multivariate Time Series Models with Soft-Computing Techniques: A Coarse-Grained Parallel Computing Approach. ICCSA (2) (2003)
Julio J. Valdés, Luis Carlos Molina, N. Peris
An evolution strategies approach to the simultaneous discretization of numeric attributes in data mining. IEEE Congress on Evolutionary Computation (2003)
Julio J. Valdés
Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure. RSFDGrC (2003)
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)
Julio J. Valdés, Lluís A. Belanche Muñoz, René Alquézar
Fuzzy heterogeneous neurons for imprecise classification problems. Int. J. Intell. Syst. 15 (3) (2000)
Lluís A. Belanche Muñoz, Julio J. Valdés, Joaquim Comas, Ignasi Rodríguez-Roda, Manel Poch
Prediction of the bulking phenomenon in wastewater treatment plants. Artif. Intell. Eng. 14 (4) (2000)
Julio J. Valdés, Luis Carlos Molina, Sergio Espinosa
Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study. ICPR (2000)
Lluís Belanche, Julio J. Valdés
Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks. IWANN (2) (1999)
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. Environ. Model. Softw. 14 (5) (1999)
Julio J. Valdés, Ricardo García
A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems. IWANN (1997)
Julio J. Valdés
Partially ordered combining structures and multiple sources of knowledge evidences in rule-based expert systems. Kybernetika 25 (7) (1989)

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Publication Activity (10 Years)

Top Topics

Top Venues

Julio J. Valdés