Gonzalo A. Ruz

Orcid: 0000-0001-7740-9865

According to our database1, Gonzalo A. Ruz authored at least 63 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Building better forecasting pipelines: A generalizable guide to multi-output spatio-temporal forecasting.
Expert Syst. Appl., 2025

2024
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure.
BMC Medical Informatics Decis. Mak., December, 2024

Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems.
Artif. Intell. Rev., May, 2024

SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer's disease using spectrograms.
Comput. Biol. Medicine, 2024

SMOTE for gene regulatory network sampling.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

2023
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems.
Neurocomputing, December, 2023

Gene regulatory networks with binary weights.
Biosyst., May, 2023

Classification of Alzheimer's disease stages from magnetic resonance images using deep learning.
PeerJ Comput. Sci., 2023

h-analysis and data-parallel physics-informed neural networks.
CoRR, 2023

Inference of threshold network models of the tryptophan operon in Escherichia coli.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022
A novel linear representation for evolving matrices.
Soft Comput., 2022

A RUL Estimation System from Clustered Run-to-Failure Degradation Signals.
Sensors, 2022

Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes.
BMC Medical Informatics Decis. Mak., 2022

Physics-informed neural networks for operator equations with stochastic data.
CoRR, 2022

Attractor landscapes in Boolean networks with firing memory.
CoRR, 2022

Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020).
Biosyst., 2022

Computational intelligence and machine learning in bioinformatics and computational biology.
Biosyst., 2022

Improving Prescriptive Maintenance by Incorporating Post-Prognostic Information Through Chance Constraints.
IEEE Access, 2022

Characterizing consensus in threshold Boolean networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Learning binary threshold networks for gene regulatory network modeling.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

Analyzing Boolean Networks Through Unsupervised Learning.
Proceedings of the Automata and Complexity, 2022

2021
Finding Hierarchical Structures of Disordered Systems: An Application for Market Basket Analysis.
IEEE Access, 2021

2020
Attractor landscapes in Boolean networks with firing memory: a theoretical study applied to genetic networks.
Nat. Comput., 2020

Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers.
Future Gener. Comput. Syst., 2020

Reconstruction of a gene regulatory network of the induced systemic resistance defense response in Arabidopsis using boolean networks.
BMC Bioinform., 2020

Slow Degradation Fault Detection in a Harsh Environment.
IEEE Access, 2020

Estimating SIR model parameters from data using differential evolution: an application with COVID-19 data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020

2019
Noise reduction for near-infrared spectroscopy data using extreme learning machines.
Eng. Appl. Artif. Intell., 2019

Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Market Basket Analysis Using Boltzmann Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
A Boolean network model of bacterial quorum-sensing systems.
Int. J. Data Min. Bioinform., 2018

Market basket analysis: Complementing association rules with minimum spanning trees.
Expert Syst. Appl., 2018

Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers.
Complex., 2018

School Choice in a Market Environment: Individual versus Social Expectations.
Complex., 2018

A non-iterative method for pruning hidden neurons in neural networks with random weights.
Appl. Soft Comput., 2018

Twitter Sentiment Classification Based on Deep Random Vector Functional Link.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Transactional Database Analysis by Discovering Pairwise Interactions Strengths.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers.
Neurocomputing, 2017

Using self-organizing maps to model turnover of sales agents in a call center.
Appl. Soft Comput., 2017

An Empirical Study of the Hidden Matrix Rank for Neural Networks with Random Weights.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Market Basket Analysis Using Minimum Spanning Trees.
Proceedings of the Network Intelligence Meets User Centered Social Media Networks [4th European Network Intelligence Conference, 2017

Inferring bistable lac operen Boolean regulatory networks using evolutionary computation.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

A novel representation for boolean networks designed to enhance heritability and scalability.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016
Improving the performance of inductive learning classifiers through the presentation order of the training patterns.
Expert Syst. Appl., 2016

Crisis in complex social systems: A social theory view illustrated with the chilean case.
Complex., 2016

Neutral space analysis of gene regulatory network models of salt stress response in Arabidopsis using evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Dynamics of neural networks over undirected graphs.
Neural Networks, 2015

Turnover Prediction in a Call Center: Behavioral Evidence of Loss Aversion using Random Forest and Naïve Bayes Algorithms.
Appl. Artif. Intell., 2015

Reconstruction of a GRN model of salt stress response in arabidopsis using genetic algorithms.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014
Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach.
Biosyst., 2014

Neutral graph of regulatory Boolean networks using evolutionary computation.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

Attraction Basins in a Lac Operon Model Under Different Update Schedules.
Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

2013
Learning gene regulatory networks using the bees algorithm.
Neural Comput. Appl., 2013

Policy making for broadband adoption and usage in Chile through machine learning.
Expert Syst. Appl., 2013

On the preservation of limit cycles in Boolean networks under different updating schemes.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

2012
NBSOM: The naive Bayes self-organizing map.
Neural Comput. Appl., 2012

Job performance prediction in a call center using a naive Bayes classifier.
Expert Syst. Appl., 2012

Building Synthetic Networks of the Budding Yeast Cell-Cycle Using Swarm Intelligence.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Reconstruction and update robustness of the mammalian cell cycle network.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

2010
Learning Gene Regulatory Networks with Predefined Attractors for Sequential Updating Schemes Using Simulated Annealing.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Automated visual inspection system for wood defect classification using computational intelligence techniques.
Int. J. Syst. Sci., 2009

2006
A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile.
Proceedings of the 2006 International Conference on Data Mining, 2006


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