| 2025 | CVPR | Food Degradation Analysis Using Multimodal Fuzzy Clustering. | Julio J. Valds, Stephie Liu, Shawn Yang, Yuhao Chen, Alexander Wong, Pengcheng Xi |
| 2024 | IJCNN | Forecasting Hypoxia Events in North Atlantic Ecosystems Using Chaotic Dynamics. | Guillaume Durand, Julio J. Valds, Thomas Guyondet, Olivia Gerry Rice, Michael Coffin |
| 2023 | IJCNN | Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. | Julio J. Valds, Alain B. Tchagang |
| 2022 | CIBCB | Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties. | Alain B. Tchagang, Julio J. Valds |
| 2022 | IJCNN | Computational Intelligence Approach for the Analysis of Estuary Hypoxia Phenomena. | Guillaume Durand, Julio J. Valds, Michael Coffin, Md Monwer Hussain, Luke Poirier |
| 2021 | IJCNN | Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images. | Julio J. Valds, Antonio Pou |
| 2020 | CEC | Radar-based Noncontact Human Activity Classification Using Genetic Programming. | Julio J. Valds, Zachary Baird, Sreeraman Rajan, Miodrag Bolic |
| 2020 | IJCNN | A Computational Intelligence Characterization of Solar Magnetograms. | Julio J. Valds, Ljubomir Nikolic, Simone Disabato, Manuel Roveri |
| 2019 | EDM | Visualizing Learning Performance Data and Model Predictions as Objects in a 3D Space. | Bruno Emond, Julio J. Valds |
| 2019 | ICANN | Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks. | Alain B. Tchagang, Julio J. Valds |
| 2019 | ICANN | Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach. | Julio J. Valds, Alain B. Tchagang |
| 2019 | IJCNN | Machine Learning Approaches for Predicting the 10.7 cm Radio Flux from Solar Magnetogram Data. | Julio J. Valds, Ljubomir Nikolic, Kenneth Tapping |
| 2018 | IJCNN | Single Channel Continuous Wave Doppler Radar for Differentiating Types of Human Activity. | Julio J. Valds, Zachary Baird, Sreeraman Rajan, Miodrag Bolic |
| 2017 | IJCNN | Helicopter load signal and fatigue life estimation using low dimensional spaces. | Catherine Cheung, Julio J. Valds, Alejandro Lehman Rubio |
| 2017 | IJCNN | Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation. | Julio J. Valds, Catherine Cheung, Alejandro Lehman Rubio |
| 2016 | IJCNN | Heterogeneous extreme learning machines. | Julio J. Valds |
| 2016 | IJCNN | Extreme Learning Machines for approximating nonlinear dimensionality reduction mappings: Application to Haptic handwritten signatures. | Julio J. Valds, Fawaz A. Alsulaiman, Abdulmotaleb El Saddik |
| 2014 | CIDM | Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring. | Julio J. Valds, Catherine Cheung, Matthew Li |
| 2012 | CEC | Use of evolutionary computation techniques for exploration and prediction of helicopter loads. | Catherine Cheung, Julio J. Valds, Matthew Li |
| 2012 | IJCNN | Towards conservative helicopter loads prediction using computational intelligence techniques. | Julio J. Valds, Catherine Cheung, Matthew Li |
| 2011 | CEC | Evolutionary computation methods for helicopter loads estimation. | Julio J. Valds, Catherine Cheung, Weichao Wang |
| 2011 | IJCNN | Computational intelligence methods for helicopter loads estimation. | Julio J. Valds, Catherine Cheung, Weichao Wang |
| 2010 | CEC | Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining. | Julio J. Valds |
| 2010 | IJCNN | Central england temperatures and solar activity: A Computational Intelligence approach. | Julio J. Valds, Antonio Pou |
| 2009 | IJCNN | Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology. | Alan J. Barton, Julio J. Valds, Robert Orchard |
| 2009 | IJCNN | Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach. | Julio J. Valds, Antonio Pou |
| 2008 | IJCNN | Characterization of climatic variations in Spain at the regional scale: A computational intelligence approach. | Julio J. Valds, Antonio Pou, Robert Orchard |
| 2008 | ISMIS | Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Gastric and Liver Cancer Databases: An Evolutionary Computation Approach. | Alan J. Barton, Julio J. Valds |
| 2007 | CEC | Visualizing high dimensional objective spaces for multi-objective optimization: A virtual reality approach. | Julio J. Valds, Alan J. Barton |
| 2007 | CEC | Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation. | Julio J. Valds, Alan J. Barton, Robert Orchard |
| 2007 | GECCO | Computational intelligence techniques: a study of scleroderma skin disease. | Julio J. Valds, Alan J. Barton |
| 2007 | GECCO | Exploring medical data using visual spaces with genetic programming and implicit functional mappings. | Julio J. Valds, Robert Orchard, Alan J. Barton |
| 2007 | IJCNN | Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry. | Julio J. Valds, Alan J. Barton |
| 2007 | IJCNN | Greenland Temperatures and Solar Activity: A Computational Intelligence Approach. | Julio J. Valds, Antonio Pou |
| 2007 | IJCNN | Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. | Julio J. Valds, Enrique Romero, Ruben Gonzalez |
| 2007 | IWANN | Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective. | Enrique Romero, Julio J. Valds, Alan J. Barton |
| 2007 | IWANN | Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach. | Julio J. Valds, Alan J. Barton |
| 2006 | CEC | Virtual Reality Spaces for Visual Data Mining with Multiobjective Evolutionary Optimization: Implicit and Explicit Function Representations Mixing Unsupervised and Supervised Properties. | Julio J. Valds, Alan J. Barton |
| 2006 | GECCO | Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions. | Julio J. Valds, Alan J. Barton |
| 2006 | IJCNN | Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting. | Julio J. Valds, Alan J. Barton |
| 2005 | IJCNN | 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. Valds |
| 2005 | IJCNN | Time dependent neural network models for detecting changes of state in Earth and planetary processes. | Julio J. Valds, Graeme Bonham-Carter |
| 2005 | IJCNN | Virtual reality visual data mining with nonlinear discriminant neural networks: application to leukemia and Alzheimer gene expression data. | Julio J. Valds, Alan J. Barton |
| 2003 | CEC | An evolution strategies approach to the simultaneous discretization of numeric attributes in data mining. | Julio J. Valds, Luis Carlos Molina, N. Peris |
| 2003 | ICCSA | Mining Multivariate Time Series Models with Soft-Computing Techniques: A Coarse-Grained Parallel Computing Approach. | Julio J. Valds, Alan J. Barton |
| 2003 | IJCNN | Multivariate time series model discovery with similarity-based neuro-fuzzy networks and genetic algorithms. | Julio J. Valds, Alan J. Barton |
| 2000 | ICPR | Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study. | Julio J. Valds, Luis Carlos Molina, Sergio Espinosa |
| 1999 | IWANN | Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks. | Llus Belanche, Julio J. Valds |
| 1997 | IWANN | A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems. | Julio J. Valds, Ricardo Garca |