Gonzalo A. Ruz
Orcid: 0000-0001-7740-9865
According to our database1,
Gonzalo A. Ruz
authored at least 59 papers
between 2006 and 2024.
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Bibliography
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
2023
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems.
Neurocomputing, December, 2023
Classification of Alzheimer's disease stages from magnetic resonance images using deep learning.
PeerJ Comput. Sci., 2023
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
2022
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
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
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
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
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
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
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
2018
Int. J. Data Min. Bioinform., 2018
Expert Syst. Appl., 2018
Complex., 2018
Complex., 2018
A non-iterative method for pruning hidden neurons in neural networks with random weights.
Appl. Soft Comput., 2018
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
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
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
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
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
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014
Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014
2013
Neural Comput. Appl., 2013
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
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
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