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

Journal of physical chemistry. C, 2023-06, Vol.127 (25), p.12055-12067

2023

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Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets

Journal of computational chemistry, 2024-06, Vol.45 (15), p.1193-1214

2024

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

Energy and buildings, 2018-01, Vol.158, p.43-53

2018

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An Extension of the Gamma Test Statistics to Binary Variables and Some Applications

International journal of pattern recognition and artificial intelligence, 2021-08, Vol.35 (10), p.2151010

2021

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Failure Modeling of a Propulsion Subsystem: Unsupervised and Semi-Supervised Approaches to Anomaly Detection

International journal of pattern recognition and artificial intelligence, 2019-10, Vol.33 (11), p.1940019

2019

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Human Activity Understanding Through Explainable Audio-Visual Features

IEEE sensors letters, 2024-08, Vol.8 (8), p.1-4

2024

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Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application

Sensors (Basel, Switzerland), 2021-02, Vol.21 (5), p.1604

2021

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Extreme learning machines with heterogeneous data types

Neurocomputing (Amsterdam), 2018-02, Vol.277, p.38-52

Valdés, Julio J.

2018

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Data mining of gene expression changes in Alzheimer brain

Artificial intelligence in medicine, 2004-06, Vol.31 (2), p.137-154

2004

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Lighting-on-Demand: Balancing Occupant Needs and Energy Savings

Leukos, 2018-01, Vol.14 (1), p.3-11

2018

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

Expert systems with applications, 2012-12, Vol.39 (18), p.13193-13201

2012

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

Neural networks, 2006-03, Vol.19 (2), p.196-207

2006

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Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming

Neural networks, 2009-07, Vol.22 (5), p.614-622

2009

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

Neural networks, 2007-05, Vol.20 (4), p.498-508

2007

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A Process Mining Approach to the Analysis of the Structure of Time Series

Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2, 2020, Vol.1289, p.379-392

2020

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

Concurrency and computation, 2010-08, Vol.22 (11), p.1386-1415

2010

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Identity Verification Based on Handwritten Signatures with Haptic Information Using Genetic Programming

ACM transactions on multimedia computing communications and applications, 2013-05, Vol.9 (2), p.1-21

2013

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Testing the accuracy of low-cost data streams for determining single-person office occupancy and their use for energy reduction of building services

Energy and buildings, 2017-01, Vol.135, p.137-147

2017

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

IEEE Congress on Evolutionary Computation, 2010, p.1-8

Valdes, J J

2010

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Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.1-8

2023

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

Artificial Neural Networks and Machine Learning - ICANN 2019: Workshop and Special Sessions, 2019, Vol.11731, p.793-803

2019

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

Lecture notes in computer science, 2006, p.482-489

2006

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

Artificial Neural Networks and Machine Learning - ICANN 2019: Workshop and Special Sessions, 2019, Vol.11731, p.771-782

2019

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Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), 2019, p.1-4

2019

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Improving Load Signal and Fatigue Life Estimation for Helicopter Components Using Computational Intelligence Techniques

Recent Advances in Computational Intelligence in Defense and Security, 2016, p.605-634

2016

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

Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets

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

An Extension of the Gamma Test Statistics to Binary Variables and Some Applications

Failure Modeling of a Propulsion Subsystem: Unsupervised and Semi-Supervised Approaches to Anomaly Detection

Human Activity Understanding Through Explainable Audio-Visual Features

Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application

Extreme learning machines with heterogeneous data types

Data mining of gene expression changes in Alzheimer brain

Lighting-on-Demand: Balancing Occupant Needs and Energy Savings

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

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

Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming

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

A Process Mining Approach to the Analysis of the Structure of Time Series

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

Identity Verification Based on Handwritten Signatures with Haptic Information Using Genetic Programming

Testing the accuracy of low-cost data streams for determining single-person office occupancy and their use for energy reduction of building services

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

Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design

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

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

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

Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning

Improving Load Signal and Fatigue Life Estimation for Helicopter Components Using Computational Intelligence Techniques

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