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Julio J. Valdés
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2020 – today
- 2024
- [j21]Julio J. Valdés, Alain B. Tchagang
:
Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets. J. Comput. Chem. 45(15): 1193-1214 (2024) - [c79]Brady Laska
Cough Sound Analysis using Vocal Tract Models. I2MTC 2024: 1-6 - [c78]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: 1-6 - [c77]Guillaume Durand, Julio J. Valdés, Thomas Guyondet, Olivia Gerry Rice, Michael Coffin:
Forecasting Hypoxia Events in North Atlantic Ecosystems Using Chaotic Dynamics. IJCNN 2024: 1-8 - [c76]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: 1-6 - 2023
- [c75]Julio J. Valdés, Alain B. Tchagang:
Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. IJCNN 2023: 1-8 - [c74]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: 1-6 - [c73]Zhenyu Zhang, Yichun Shen
Domestic Sound Classification with Deep Learning. SAS 2023: 1-6 - [i1]Julio J. Valdés, Alain B. Tchagang:
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning. CoRR abs/2309.15130 (2023) - 2022
- [c72]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. IEEE Big Data 2022: 1729-1739 - [c71]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: 1-5 - [c70]Guillaume Durand, Julio J. Valdés, Michael Coffin, Md Monwer Hussain, Luke Poirier
Computational Intelligence Approach for the Analysis of Estuary Hypoxia Phenomena. IJCNN 2022: 1-8 - [c69]Karim Habashy, Julio J. Valdés, Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Cough Classification Using Audio Spectrogram Transformer. SAS 2022: 1-6 - [c68]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: 846-853 - 2021
- [j20]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): 2151010:1-2151010:30 (2021) - [j19]Shashank Pant
Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application. Sensors 21(5): 1604 (2021) - [c67]Alain B. Tchagang, Julio J. Valdés:
Time Frequency Representations and Deep Convolutional Neural Networks: A Recipe for Molecular Properties Prediction. CCECE 2021: 1-5 - [c66]Julio J. Valdés, Antonio Pou:
Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images. IJCNN 2021: 1-8 - [c65]Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Julio J. Valdés, Rafik Goubran, Frank Knoefel:
Impact of face coverings on cough measurement characterization. MeMeA 2021: 1-6 - [c64]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: 1-6 - [c63]Julio J. Valdés, Antonio Pou:
A Machine Learning - Explainable AI approach to tropospheric dynamics analysis using Water Vapor Meteosat images. SSCI 2021: 1-8 - 2020
- [c62]Julio J. Valdés, Zachary Baird, Sreeraman Rajan
Radar-based Noncontact Human Activity Classification Using Genetic Programming. CEC 2020: 1-8 - [c61]Jean-François Lapointe
A Distributed Multimodal Multi-user Virtual Environment for Visualization and Query of Complex Data. IHIET (Lausanne) 2020: 213-218 - [c60]Julio J. Valdés, Ljubomir Nikolic, Simone Disabato
A Computational Intelligence Characterization of Solar Magnetograms. IJCNN 2020: 1-8 - [c59]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: 842-849 - [c58]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: 2485-2494 - [c57]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: 2495-2503
2010 – 2019
- 2019
- [j18]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): 1940019:1-1940019:32 (2019) - [c56]Alain B. Tchagang, Julio J. Valdés:
Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning. CCECE 2019: 1-4 - [c55]Bruno Emond, Julio J. Valdés:
Visualizing Learning Performance Data and Model Predictions as Objects in a 3D Space. EDM 2019 - [c54]Julio J. Valdés
Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach. ICANN (Workshop) 2019: 771-782 - [c53]Alain B. Tchagang
Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks. ICANN (Workshop) 2019: 793-803 - [c52]Julio J. Valdés, Ljubomir Nikolic, Kenneth Tapping:
Machine Learning Approaches for Predicting the 10.7 cm Radio Flux from Solar Magnetogram Data. IJCNN 2019: 1-8 - 2018
- [j17]Julio J. Valdés:
Extreme learning machines with heterogeneous data types. Neurocomputing 277: 38-52 (2018) - [c51]Julio J. Valdés, Zachary Baird, Sreeraman Rajan
Single Channel Continuous Wave Doppler Radar for Differentiating Types of Human Activity. IJCNN 2018: 1-8 - 2017
- [c50]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: 1991-1998 - [c49]Catherine Cheung, Julio J. Valdés, Alejandro Lehman Rubio:
Helicopter load signal and fatigue life estimation using low dimensional spaces. IJCNN 2017: 3122-3129 - 2016
- [c48]Julio J. Valdés:
Heterogeneous extreme learning machines. IJCNN 2016: 1678-1685 - [c47]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: 2915-2922 - [p3]Julio J. Valdés, Fawaz A. Alsulaiman, Abdulmotaleb El-Saddik
Visualization of Handwritten Signatures Based on Haptic Information. Recent Advances in Computational Intelligence in Defense and Security 2016: 277-307 - [p2]Catherine Cheung, Julio J. Valdés, Jobin Puthuparampil:
Improving Load Signal and Fatigue Life Estimation for Helicopter Components Using Computational Intelligence Techniques. Recent Advances in Computational Intelligence in Defense and Security 2016: 605-634 - 2015
- [c46]Julio J. Valdés, Fawaz A. Alsulaiman, Abdulmotaleb El-Saddik
Haptic handwritten signatures: the effect of deconcentrated dissimilarities on manifold extraction. HAVE 2015: 1-6 - 2014
- [c45]Julio J. Valdés, Catherine Cheung, Matthew Li:
Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring. CIDM 2014: 365-372 - 2013
- [j16]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): 11:1-11:21 (2013) - [c44]Fawaz A. Alsulaiman, Julio J. Valdés, Abdulmotaleb El-Saddik
Identity verification based on haptic handwritten Signature: Novel fitness functions for GP framework. HAVE 2013: 98-102 - 2012
- [j15]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): 13193-13201 (2012) - [c43]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: 1-8 - [c42]Fawaz A. Alsulaiman, Julio J. Valdés, Abdulmotaleb El-Saddik
Identity verification based on haptic handwritten signatures: Genetic programming with unbalanced data. CISDA 2012: 1-7 - [c41]Julio J. Valdés, Catherine Cheung, Matthew Li:
Towards conservative helicopter loads prediction using computational intelligence techniques. IJCNN 2012: 1-8 - 2011
- [c40]Julio J. Valdés, Catherine Cheung, Weichao Wang:
Evolutionary computation methods for helicopter loads estimation. IEEE Congress on Evolutionary Computation 2011: 1589-1596 - [c39]Julio J. Valdés, Catherine Cheung, Weichao Wang:
Computational intelligence methods for helicopter loads estimation. IJCNN 2011: 1864-1871 - [p1]Julio J. Valdés, Alan J. Barton, Robert Orchard:
Genetic Programming for Exploring Medical Data using Visual Spaces. Genetic and Evolutionary Computation: Medical Applications 2011 - 2010
- [j14]Jesús Montes
Finding order in chaos: a behavior model of the whole grid. Concurr. Comput. Pract. Exp. 22(11): 1386-1415 (2010) - [c38]Alan J. Barton, Arsalan S. Haqqani, Julio J. Valdés:
Identification of Similarities among MS/MS Spectra from Human Brain. BICoB 2010: 86-91 - [c37]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: 1-8 - [c36]Nizar Sakr, Fawaz A. Alsulaiman, Julio J. Valdés, Abdulmotaleb El-Saddik
Feature selection in haptic-based handwritten signatures using rough sets. FUZZ-IEEE 2010: 1-8 - [c35]Nizar Sakr, Fawaz A. Alsulaiman, Julio J. Valdés, Abdulmotaleb El-Saddik
Exploring the underlying structure of haptic-based handwritten signatures using visual data mining techniques. HAPTICS 2010: 467-474 - [c34]Julio J. Valdés, Antonio Pou:
Central england temperatures and solar activity: A Computational Intelligence approach. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j13]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): 614-622 (2009) - [c33]Fawaz A. Alsulaiman, Nizar Sakr, Julio J. Valdés, Abdulmotaleb El-Saddik
Feature selection and classification in genetic programming: Application to haptic-based biometric data. CISDA 2009: 1-7 - [c32]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: 71-77 - [c31]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: 264-271 - [c30]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: 3172-3179 - [c29]Julio J. Valdés, Sylvain Létourneau, Chunsheng Yang:
Data Fusion via Nonlinear Space Transformations. SNA 2009: 154-159 - [r2]Enrique Romero, Julio J. Valdés, Alan J. Barton:
Neural Network-Based Visual Data Mining for Cancer Data. Encyclopedia of Artificial Intelligence 2009: 1205-1211 - [r1]Julio J. Valdés, Alan J. Barton:
Visualizing Cancer Databases Using Hybrid Spaces. Encyclopedia of Artificial Intelligence 2009: 1589-1595 - 2008
- [j12]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): 257-274 (2008) - [c28]Rosa Iglesias, Mauricio Orozco Trujillo, Julio J. Valdés, Abdulmotaleb El-Saddik
Visualizing Human Behavioral Features based on Signature Haptic Data. HAPTICS 2008: 451-456 - [c27]Julio J. Valdés, Antonio Pou, Robert Orchard:
Characterization of climatic variations in Spain at the regional scale: A computational intelligence approach. IJCNN 2008: 470-476 - [c26]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: 256-261 - [c25]Jesús Montes
The Grid as a Single Entity: Towards a Behavior Model of the Whole Grid. OTM Conferences (1) 2008: 886-897 - [c24]Alan J. Barton, Julio J. Valdés:
Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers. RSCTC 2008: 485-494 - 2007
- [j11]Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
Computational intelligence in earth and environmental sciences. Neural Networks 20(4): 433 (2007) - [j10]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): 498-508 (2007) - [j9]Julio J. Valdés, Alan J. Barton:
Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy. Trans. Rough Sets 6: 366-396 (2007) - [c23]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: 4191-4198 - [c22]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: 4199-4206 - [c21]Julio J. Valdés, Alan J. Barton:
Computational intelligence techniques: a study of scleroderma skin disease. GECCO (Companion) 2007: 2580-2587 - [c20]Julio J. Valdés, Robert Orchard, Alan J. Barton:
Exploring medical data using visual spaces with genetic programming and implicit functional mappings. GECCO (Companion) 2007: 2953-2960 - [c19]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: 160-165 - [c18]Julio J. Valdés, Antonio Pou:
Greenland Temperatures and Solar Activity: A Computational Intelligence Approach. IJCNN 2007: 1536-1541 - [c17]Julio J. Valdés, Alan J. Barton:
Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry. IJCNN 2007: 2233-2238 - [c16]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: 1020-1027 - [c15]Julio J. Valdés, Alan J. Barton:
Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach. IWANN 2007: 1028-1035 - 2006
- [j8]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): 111 (2006) - [j7]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): 113-121 (2006) - [j6]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): 196-207 (2006) - [c14]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: 1442-1449 - [c13]Julio J. Valdés, Alan J. Barton:
Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions. GECCO 2006: 723-730 - [c12]Gabriel Mateescu, Julio J. Valdés:
Distributed Data Mining on Virtual Clusters. HPCS 2006: 6 - [c11]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: 4862-4869 - [c10]Julio J. Valdés, Alan J. Barton:
Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions. RSKT 2006: 482-489 - 2005
- [c9]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: 362-371 - 2004
- [j5]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): 137-154 (2004) - [c8]Julio J. Valdés, Alan J. Barton:
Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective. IEA/AIE 2004: 118-127 - 2003
- [c7]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: 1957-1964 - [c6]Julio J. Valdés, Alan J. Barton:
Mining Multivariate Time Series Models with Soft-Computing Techniques: A Coarse-Grained Parallel Computing Approach. ICCSA (2) 2003: 259-268 - [c5]Julio J. Valdés:
Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure. RSFDGrC 2003: 615-618 - 2002
- [c4]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: 279-288 - 2000
- [j4]Lluís A. Belanche Muñoz, Julio J. Valdés, Joaquim Comas
Prediction of the bulking phenomenon in wastewater treatment plants. Artif. Intell. Eng. 14(4): 307-317 (2000) - [j3]Julio J. Valdés, Lluís A. Belanche Muñoz, René Alquézar:
Fuzzy heterogeneous neurons for imprecise classification problems. Int. J. Intell. Syst. 15(3): 265-276 (2000) - [c3]Julio J. Valdés, Luis Carlos Molina, Sergio Espinosa:
Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study. ICPR 2000: 3917-3920
1990 – 1999
- 1999
- [j2]Lluís A. Belanche Muñoz, Julio J. Valdés, Joaquim Comas
Towards a model of input-output behaviour os wastewater treatment plants using soft computing techniques. Environ. Model. Softw. 14(5): 409-419 (1999) - [c2]Lluís Belanche, Julio J. Valdés:
Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks. IWANN (2) 1999: 863-873 - 1997
- [c1]Julio J. Valdés, Ricardo García:
A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems. IWANN 1997: 237-246
1980 – 1989
- 1989
- [j1]Julio J. Valdés:
Partially ordered combining structures and multiple sources of knowledge evidences in rule-based expert systems. Kybernetika 25(7): 15-19 (1989)
Coauthor Index
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