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

A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems. - Julio J. Valdés; Ricardo García (IWANN, 1997)

Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks. - Lluís Belanche; Julio J. Valdés (IWANN (2), 1999)

Towards a model of input-output behaviour os wastewater treatment plants using soft computing techniques. - Lluís A. Belanche Muñoz; Julio J. Valdés; Joaquim Comas; Ignasi R.-Roda; Manel Poch (Environ. Model. Softw., 1999)

Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study. - Julio J. Valdés; Luis Carlos Molina; Sergio Espinosa (ICPR, 2000)

Prediction of the bulking phenomenon in wastewater treatment plants. - Lluís A. Belanche Muñoz; Julio J. Valdés; Joaquim Comas; Ignasi Rodríguez-Roda; Manel Poch (Artif. Intell. Eng., 2000)

Fuzzy heterogeneous neurons for imprecise classification problems. - Julio J. Valdés; Lluís A. Belanche Muñoz; René Alquézar (Int. J. Intell. Syst., 2000)

Time Series Model Mining with Similarity-Based Neuro-Fuzzy Networks and Genetic Algorithms: A Parallel Implementation. - Julio J. Valdés; Gabriel Mateescu (Rough Sets and Current Trends in Computing, 2002)

An evolution strategies approach to the simultaneous discretization of numeric attributes in data mining. - Julio J. Valdés; Luis Carlos Molina; N. Peris (IEEE Congress on Evolutionary Computation, 2003)

Mining Multivariate Time Series Models with Soft-Computing Techniques: A Coarse-Grained Parallel Computing Approach. - Julio J. Valdés; Alan J. Barton (ICCSA (2), 2003)

Multivariate time series model discovery with similarity-based neuro-fuzzy networks and genetic algorithms. - Julio J. Valdés; Alan J. Barton (IJCNN, 2003)

Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure. - Julio J. Valdés (RSFDGrC, 2003)

Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective. - Julio J. Valdés; Alan J. Barton (IEA/AIE, 2004)

Data mining of gene expression changes in Alzheimer brain. - P. Roy Walker; Brandon Smith; Qing Yan Liu; A. Fazel Famili; Julio J. Valdés; Ziying Liu; Boleslaw Lach (Artif. Intell. Medicine, 2004)

Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences. - Vladimir Cherkassky; Vladimir M. Krasnopolsky; Dimitri P. Solomatine; Julio J. Valdés (IJCNN, 2005)

Time dependent neural network models for detecting changes of state in Earth and planetary processes. - Julio J. Valdés; Graeme Bonham-Carter (IJCNN, 2005)

Virtual reality visual data mining with nonlinear discriminant neural networks: application to leukemia and Alzheimer gene expression data. - Julio J. Valdés; Alan J. Barton (IJCNN, 2005)

Relevant Attribute Discovery in High Dimensional Data Based on Rough Sets and Unsupervised Classification: Application to Leukemia Gene Expressions. - Julio J. Valdés; Alan J. Barton (RSFDGrC (2), 2005)

Virtual Reality Spaces for Visual Data Mining with Multiobjective Evolutionary Optimization: Implicit and Explicit Function Representations Mixing Unsupervised and Supervised Properties. - Julio J. Valdés; Alan J. Barton (IEEE Congress on Evolutionary Computation, 2006)

Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions. - Julio J. Valdés; Alan J. Barton (GECCO, 2006)

Distributed Data Mining on Virtual Clusters. - Gabriel Mateescu; Julio J. Valdés (HPCS, 2006)

Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting. - Julio J. Valdés; Alan J. Barton (IJCNN, 2006)

Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions. - Julio J. Valdés; Alan J. Barton (RSKT, 2006)

2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. - Vladimir Cherkassky; Vladimir M. Krasnopolsky; Dimitri P. Solomatine; Julio J. Valdés (Neural Networks, 2006)

Computational intelligence in earth sciences and environmental applications: Issues and challenges. - Vladimir Cherkassky; Vladimir M. Krasnopolsky; Dimitri P. Solomatine; Julio J. Valdés (Neural Networks, 2006)

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 (Neural Networks, 2006)

Visualizing high dimensional objective spaces for multi-objective optimization: A virtual reality approach. - Julio J. Valdés; Alan J. Barton (IEEE Congress on Evolutionary Computation, 2007)

Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation. - Julio J. Valdés; Alan J. Barton; Robert Orchard (IEEE Congress on Evolutionary Computation, 2007)

Computational intelligence techniques: a study of scleroderma skin disease. - Julio J. Valdés; Alan J. Barton (GECCO (Companion), 2007)

Exploring medical data using visual spaces with genetic programming and implicit functional mappings. - Julio J. Valdés; Robert Orchard; Alan J. Barton (GECCO (Companion), 2007)

Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry. - Julio J. Valdés; Alan J. Barton (IJCNN, 2007)

Greenland Temperatures and Solar Activity: A Computational Intelligence Approach. - Julio J. Valdés; Antonio Pou (IJCNN, 2007)

Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. - Julio J. Valdés; Enrique Romero; Ruben Gonzalez (IJCNN, 2007)

Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective. - Enrique Romero; Julio J. Valdés; Alan J. Barton (IWANN, 2007)

Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach. - Julio J. Valdés; Alan J. Barton (IWANN, 2007)

Computational intelligence in earth and environmental sciences. - Vladimir Cherkassky; William Hsieh; Vladimir M. Krasnopolsky; Dimitri P. Solomatine; Julio J. Valdés (Neural Networks, 2007)

Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting. - Julio J. Valdés; Alan J. Barton (Neural Networks, 2007)

Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy. - Julio J. Valdés; Alan J. Barton (Trans. Rough Sets, 2007)

Visualizing Human Behavioral Features based on Signature Haptic Data. - Rosa Iglesias; Mauricio Orozco Trujillo; Julio J. Valdés; Abdulmotaleb El-Saddik (HAPTICS, 2008)

Characterization of climatic variations in Spain at the regional scale: A computational intelligence approach. - Julio J. Valdés; Antonio Pou; Robert Orchard (IJCNN, 2008)

Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Gastric and Liver Cancer Databases: An Evolutionary Computation Approach. - Alan J. Barton; Julio J. Valdés (ISMIS, 2008)

The Grid as a Single Entity: Towards a Behavior Model of the Whole Grid. - Jesús Montes; Alberto Sánchez 001; Julio J. Valdés; María S. Pérez 001; Pilar Herrero (OTM Conferences (1), 2008)

Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers. - Alan J. Barton; Julio J. Valdés (RSCTC, 2008)

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 (Genet. Program. Evolvable Mach., 2008)

Feature selection and classification in genetic programming: Application to haptic-based biometric data. - Fawaz A. Alsulaiman; Nizar Sakr; Julio J. Valdés; Abdulmotaleb El-Saddik; Nicolas D. Georganas (CISDA, 2009)

Relevant Feature Selection and Generation in High Dimensional Haptic-based Biometric Data. - Nizar Sakr; Fawaz A. Alsulaiman; Julio J. Valdés; Abdulmotaleb El-Saddik; Nicolas D. Georganas (DMIN, 2009)

Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology. - Alan J. Barton; Julio J. Valdés; Robert Orchard (IJCNN, 2009)

Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach. - Julio J. Valdés; Antonio Pou (IJCNN, 2009)

Data Fusion via Nonlinear Space Transformations. - Julio J. Valdés; Sylvain Létourneau; Chunsheng Yang (SNA, 2009)

Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming. - Alan J. Barton; Julio J. Valdés; Robert Orchard (Neural Networks, 2009)

Neural Network-Based Visual Data Mining for Cancer Data. - Enrique Romero; Julio J. Valdés; Alan J. Barton (Encyclopedia of Artificial Intelligence, 2009)

Visualizing Cancer Databases Using Hybrid Spaces. - Julio J. Valdés; Alan J. Barton (Encyclopedia of Artificial Intelligence, 2009)

Identification of Similarities among MS/MS Spectra from Human Brain. - Alan J. Barton; Arsalan S. Haqqani; Julio J. Valdés (BICoB, 2010)

Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining. - Julio J. Valdés (IEEE Congress on Evolutionary Computation, 2010)

Feature selection in haptic-based handwritten signatures using rough sets. - Nizar Sakr; Fawaz A. Alsulaiman; Julio J. Valdés; Abdulmotaleb El-Saddik; Nicolas D. Georganas (FUZZ-IEEE, 2010)

Exploring the underlying structure of haptic-based handwritten signatures using visual data mining techniques. - Nizar Sakr; Fawaz A. Alsulaiman; Julio J. Valdés; Abdulmotaleb El-Saddik; Nicolas D. Georganas (HAPTICS, 2010)

Central england temperatures and solar activity: A Computational Intelligence approach. - Julio J. Valdés; Antonio Pou (IJCNN, 2010)

Finding order in chaos: a behavior model of the whole grid. - Jesús Montes; Alberto Sánchez 001; Julio J. Valdés; María S. Pérez 001; Pilar Herrero (Concurr. Comput. Pract. Exp., 2010)

Genetic Programming for Exploring Medical Data using Visual Spaces. - Julio J. Valdés; Alan J. Barton; Robert Orchard (Genetic and Evolutionary Computation: Medical Applications, 2011)

Evolutionary computation methods for helicopter loads estimation. - Julio J. Valdés; Catherine Cheung; Weichao Wang (IEEE Congress on Evolutionary Computation, 2011)

Computational intelligence methods for helicopter loads estimation. - Julio J. Valdés; Catherine Cheung; Weichao Wang (IJCNN, 2011)

Use of evolutionary computation techniques for exploration and prediction of helicopter loads. - Catherine Cheung; Julio J. Valdés; Matthew Li (IEEE Congress on Evolutionary Computation, 2012)

Identity verification based on haptic handwritten signatures: Genetic programming with unbalanced data. - Fawaz A. Alsulaiman; Julio J. Valdés; Abdulmotaleb El-Saddik (CISDA, 2012)

Towards conservative helicopter loads prediction using computational intelligence techniques. - Julio J. Valdés; Catherine Cheung; Matthew Li (IJCNN, 2012)

Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data. - Julio J. Valdés; Enrique Romero; Alan J. Barton (Expert Syst. Appl., 2012)

Identity verification based on haptic handwritten Signature: Novel fitness functions for GP framework. - Fawaz A. Alsulaiman; Julio J. Valdés; Abdulmotaleb El-Saddik (HAVE, 2013)

Identity verification based on handwritten signatures with haptic information using genetic programming. - Fawaz A. Alsulaiman; Nizar Sakr; Julio J. Valdés; Abdulmotaleb El-Saddik (ACM Trans. Multim. Comput. Commun. Appl., 2013)

Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring. - Julio J. Valdés; Catherine Cheung; Matthew Li (CIDM, 2014)

Haptic handwritten signatures: the effect of deconcentrated dissimilarities on manifold extraction. - Julio J. Valdés; Fawaz A. Alsulaiman; Abdulmotaleb El-Saddik (HAVE, 2015)

Heterogeneous extreme learning machines. - Julio J. Valdés (IJCNN, 2016)

Extreme Learning Machines for approximating nonlinear dimensionality reduction mappings: Application to Haptic handwritten signatures. - Julio J. Valdés; Fawaz A. Alsulaiman; Abdulmotaleb El-Saddik (IJCNN, 2016)

Improving Load Signal and Fatigue Life Estimation for Helicopter Components Using Computational Intelligence Techniques. - Catherine Cheung; Julio J. Valdés; Jobin Puthuparampil (Recent Advances in Computational Intelligence in Defense and Security, 2016)

Visualization of Handwritten Signatures Based on Haptic Information. - Julio J. Valdés; Fawaz A. Alsulaiman; Abdulmotaleb El-Saddik (Recent Advances in Computational Intelligence in Defense and Security, 2016)

Helicopter load signal and fatigue life estimation using low dimensional spaces. - Catherine Cheung; Julio J. Valdés; Alejandro Lehman Rubio (IJCNN, 2017)

Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation. - Julio J. Valdés; Catherine Cheung; Alejandro Lehman Rubio (IJCNN, 2017)

Single Channel Continuous Wave Doppler Radar for Differentiating Types of Human Activity. - Julio J. Valdés; Zachary Baird; Sreeraman Rajan; Miodrag Bolic (IJCNN, 2018)

Extreme learning machines with heterogeneous data types. - Julio J. Valdés (Neurocomputing, 2018)

Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning. - Alain B. Tchagang; Julio J. Valdés (CCECE, 2019)

Visualizing Learning Performance Data and Model Predictions as Objects in a 3D Space. - Bruno Emond; Julio J. Valdés (EDM, 2019)

Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks. - Alain B. Tchagang; Julio J. Valdés (ICANN (Workshop), 2019)

Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach. - Julio J. Valdés; Alain B. Tchagang (ICANN (Workshop), 2019)

Machine Learning Approaches for Predicting the 10.7 cm Radio Flux from Solar Magnetogram Data. - Julio J. Valdés; Ljubomir Nikolic; Kenneth Tapping (IJCNN, 2019)

Failure Modeling of a Propulsion Subsystem: Unsupervised and Semi-Supervised Approaches to Anomaly Detection. - Catherine Cheung; Julio J. Valdés; Richard Salas Chavez; Srishti Sehgal (Int. J. Pattern Recognit. Artif. Intell., 2019)

Radar-based Noncontact Human Activity Classification Using Genetic Programming. - Julio J. Valdés; Zachary Baird; Sreeraman Rajan; Miodrag Bolic (CEC, 2020)

A Distributed Multimodal Multi-user Virtual Environment for Visualization and Query of Complex Data. - Jean-François Lapointe; Julio J. Valdés; Luc Belliveau; Norman G. Vinson; Bruno Emond; Serge Léger (IHIET (Lausanne), 2020)

A Computational Intelligence Characterization of Solar Magnetograms. - Julio J. Valdés; Ljubomir Nikolic; Simone Disabato; Manuel Roveri (IJCNN, 2020)

Failure modeling in a gas turbine system: Combining classification with anomaly detection models for two data selection strategies. - Catherine Cheung; Davis To; Julio J. Valdés (SSCI, 2020)

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 (SSCI, 2020)

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 (SSCI, 2020)

Time Frequency Representations and Deep Convolutional Neural Networks: A Recipe for Molecular Properties Prediction. - Alain B. Tchagang; Julio J. Valdés (CCECE, 2021)

Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images. - Julio J. Valdés; Antonio Pou (IJCNN, 2021)

Impact of face coverings on cough measurement characterization. - Madison Cohen-McFarlane; Pengcheng Xi; Bruce Wallace 001; Julio J. Valdés; Rafik Goubran; Frank Knoefel (MeMeA, 2021)

Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization. - Julio J. Valdés; Pengcheng Xi; Madison Cohen-McFarlane; Bruce Wallace 001; Rafik Goubran; Frank Knoefel (MeMeA, 2021)

A Machine Learning - Explainable AI approach to tropospheric dynamics analysis using Water Vapor Meteosat images. - Julio J. Valdés; Antonio Pou (SSCI, 2021)

An Extension of the Gamma Test Statistics to Binary Variables and Some Applications. - Alessandro Maria Selvitella; Julio J. Valdés (Int. J. Pattern Recognit. Artif. Intell., 2021)

Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application. - Shashank Pant; Parham Nooralishahi; Nicolas P. Avdelidis; Clemente Ibarra-Castanedo; Marc Genest; Shakeb Deane; Julio J. Valdés; Argyrios C. Zolotas; Xavier P. V. Maldague (Sensors, 2021)

Cough Classification with Deep Derived Features using Audio Spectrogram Transformer. - Julio J. Valdés; Karim Habashy; Pengcheng Xi; Madison Cohen-McFarlane; Bruce Wallace 001; Rafik Goubran; Frank Knoefel (IEEE Big Data, 2022)

Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties. - Alain B. Tchagang; Julio J. Valdés (CIBCB, 2022)

Computational Intelligence Approach for the Analysis of Estuary Hypoxia Phenomena. - Guillaume Durand; Julio J. Valdés; Michael Coffin; Md Monwer Hussain; Luke Poirier (IJCNN, 2022)

Cough Classification Using Audio Spectrogram Transformer. - Karim Habashy; Julio J. Valdés; Madison Cohen-McFarlane; Pengcheng Xi; Bruce Wallace 001; Rafik Goubran; Frank Knoefel (SAS, 2022)

Explainable AI Applied to the Analysis of the Climatic Behavior of 11 Years of Meteosat Water Vapor Images. - Julio J. Valdés; Antonio Pou (SSCI, 2022)

Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. - Julio J. Valdés; Alain B. Tchagang (IJCNN, 2023)

Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification. - Saiful Huq; Pengcheng Xi; Rafik Goubran; Julio J. Valdés; Frank Knoefel; James R. Green (MeMeA, 2023)

Domestic Sound Classification with Deep Learning. - Zhenyu Zhang; Yichun Shen; Julio J. Valdés; Saiful Huq; Bruce Wallace 001; James Green 001; Pengcheng Xi; Rafik Goubran (SAS, 2023)

Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning. - Julio J. Valdés; Alain B. Tchagang (CoRR, 2023)

Cough Sound Analysis using Vocal Tract Models. - Brady Laska; Julio J. Valdés; Pengcheng Xi; Rafik Goubran; Bruce Wallace 001; Madison Cohen-McFarlane; Frank Knoefel (I2MTC, 2024)

Multi-Level Method for Sound Source Location Measurement. - Mahya Shahmohammadimehrjardi; R. Bruce Wallace; Adrian D. C. Chan; Rafik Goubran; Pengcheng Xi; Julio J. Valdés (I2MTC, 2024)

Forecasting Hypoxia Events in North Atlantic Ecosystems Using Chaotic Dynamics. - Guillaume Durand; Julio J. Valdés; Thomas Guyondet; Olivia Gerry Rice; Michael Coffin (IJCNN, 2024)

Zero-Shot Multi-Task Cough Sound Analysis with Speech Foundation Model Embeddings. - Brady Laska; Pengcheng Xi; Julio J. Valdés; R. Bruce Wallace; Rafik Goubran (MeMeA, 2024)

Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets. - Julio J. Valdés; Alain B. Tchagang (J. Comput. Chem., 2024)

Food Degradation Analysis Using Multimodal Fuzzy Clustering. - Julio J. Valdés; Stephie Liu; Shawn Yang; Yuhao Chen 001; Alexander Wong; Pengcheng Xi (CVPR Workshops, 2025)

Coughprint: Distilled Cough Representations From Speech Foundation Model Embeddings. - Brady Laska; Pengcheng Xi; Julio J. Valdés; Bruce Wallace 001; James Green 001; Rafik Goubran; Frank Knoefel (IEEE Trans. Instrum. Meas., 2025)