Gonzalo A. Ruz

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 46

Top Topics

Minimum Spanning Trees

Boolean Networks

Market Basket Analysis

Evolutionary Computation

Top Venues

Publications

Mario Alejandro Bravo-Ortiz, Ernesto Guevara-Navarro, Sergio Alejandro Holguin-Garcia, Mariana Rivera-Garcia, Oscar Cardona-Morales, Gonzalo A. Ruz, Reinel Tabares-Soto
SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer's disease using spectrograms. Comput. Biol. Medicine 181 (2024)
Sergio Alejandro Holguin-Garcia, Ernesto Guevara-Navarro, Alvaro Eduardo Daza-Chica, Maria Alejandra Patiño-Claro, Harold Brayan Arteaga-Arteaga, Gonzalo A. Ruz, Reinel Tabares-Soto, Mario Alejandro Bravo-Ortiz
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Ricardo Ortega-Bolaños, Joshua Bernal-Salcedo, Mariana Germán Ortiz, Julian Galeano Sarmiento, Gonzalo A. Ruz, Reinel Tabares-Soto
Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems. Artif. Intell. Rev. 57 (5) (2024)
Paul Escapil-Inchauspé, Gonzalo A. Ruz
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems. Neurocomputing 561 (2023)
Gonzalo A. Ruz
Inference of threshold network models of the tryptophan operon in Escherichia coli. CIBCB (2023)
Gonzalo A. Ruz, Eric Goles
Gene regulatory networks with binary weights. Biosyst. (2023)
Alejandro Mora-Rubio, Mario Alejandro Bravo-Ortiz, Sebastián Quiñones Arredondo, José Manuel Saborit-Torres, Gonzalo A. Ruz, Reinel Tabares-Soto
Classification of Alzheimer's disease stages from magnetic resonance images using deep learning. PeerJ Comput. Sci. 9 (2023)
Paul Escapil-Inchauspé, Gonzalo A. Ruz
h-analysis and data-parallel physics-informed neural networks. CoRR (2023)
Gonzalo A. Ruz
Analyzing Boolean Networks Through Unsupervised Learning. Automata and Complexity (2022)
Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz
A RUL Estimation System from Clustered Run-to-Failure Degradation Signals. Sensors 22 (14) (2022)
Gonzalo A. Ruz, Eric Goles
Characterizing consensus in threshold Boolean networks. IJCNN (2022)
Gonzalo A. Ruz, Pamela Araya-Díaz, Pablo A. Henríquez
Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Paul Escapil-Inchauspé, Gonzalo A. Ruz
Physics-informed neural networks for operator equations with stochastic data. CoRR (2022)
Gonzalo A. Ruz, Daniel A. Ashlock, Richard Allmendinger, Gary B. Fogel
Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020). Biosyst. 218 (2022)
Gonzalo A. Ruz, Eric Goles
Learning binary threshold networks for gene regulatory network modeling. CIBCB (2022)
Paul Escapil-Inchauspé, Gonzalo A. Ruz
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems. CoRR (2022)
Madhu Chetty, Jennifer Hallinan, Gonzalo A. Ruz, Anil Wipat
Computational intelligence and machine learning in bioinformatics and computational biology. Biosyst. 222 (2022)
Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz
Improving Prescriptive Maintenance by Incorporating Post-Prognostic Information Through Chance Constraints. IEEE Access 10 (2022)
Eric Goles Ch., Fabiola Lobos, Gonzalo A. Ruz, Sylvain Sené
Attractor landscapes in Boolean networks with firing memory. CoRR (2022)
Connor Gregor, Daniel A. Ashlock, Gonzalo A. Ruz, Duncan MacKinnon, David Kribs
A novel linear representation for evolving matrices. Soft Comput. 26 (14) (2022)
Mauricio A. Valle, Gonzalo A. Ruz
Finding Hierarchical Structures of Disordered Systems: An Application for Market Basket Analysis. IEEE Access 9 (2021)
Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz, José Luis Ortiz
Slow Degradation Fault Detection in a Harsh Environment. IEEE Access 8 (2020)
Tania Timmermann, Bernardo González, Gonzalo A. Ruz
Reconstruction of a gene regulatory network of the induced systemic resistance defense response in Arabidopsis using boolean networks. BMC Bioinform. 21 (1) (2020)
Sergio Rica, Gonzalo A. Ruz
Estimating SIR model parameters from data using differential evolution: an application with COVID-19 data. CIBCB (2020)
Gonzalo A. Ruz, Pablo A. Henríquez, Aldo Mascareño
Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers. Future Gener. Comput. Syst. 106 (2020)
Eric Goles, Fabiola Lobos, Gonzalo A. Ruz, Sylvain Sené
Attractor landscapes in Boolean networks with firing memory: a theoretical study applied to genetic networks. Nat. Comput. 19 (2) (2020)
Pablo A. Henríquez, Gonzalo A. Ruz
Noise reduction for near-infrared spectroscopy data using extreme learning machines. Eng. Appl. Artif. Intell. 79 (2019)
Gonzalo A. Ruz, Pablo A. Henríquez
Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data. ICTAI (2019)
Mauricio A. Valle, Gonzalo A. Ruz
Market Basket Analysis Using Boltzmann Machines. ICANN (4) (2019)
Catalina Canals, Eric Goles, Aldo Mascareño, Sergio Rica, Gonzalo A. Ruz
School Choice in a Market Environment: Individual versus Social Expectations. Complex. 2018 (2018)
Pablo A. Henríquez, Gonzalo A. Ruz
A non-iterative method for pruning hidden neurons in neural networks with random weights. Appl. Soft Comput. 70 (2018)
Mauricio A. Valle, Gonzalo A. Ruz, Sergio Rica
Transactional Database Analysis by Discovering Pairwise Interactions Strengths. ASONAM (2018)
Gonzalo A. Ruz, Pamela Araya-Díaz
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers. Complex. 2018 (2018)
Gonzalo A. Ruz, Ana Zúñiga, Eric Goles
A Boolean network model of bacterial quorum-sensing systems. Int. J. Data Min. Bioinform. 21 (2) (2018)
Pablo A. Henríquez, Gonzalo A. Ruz
Twitter Sentiment Classification Based on Deep Random Vector Functional Link. IJCNN (2018)
Gonzalo A. Ruz, Eric Goles, Sylvain Sené
Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy. CEC (2018)
Mauricio A. Valle, Gonzalo A. Ruz, Rodrigo Morrás
Market basket analysis: Complementing association rules with minimum spanning trees. Expert Syst. Appl. 97 (2018)
Gonzalo A. Ruz, Daniel A. Ashlock, Thomas Ledger, Eric Goles
Inferring bistable lac operen Boolean regulatory networks using evolutionary computation. CIBCB (2017)
Mauricio A. Valle, Gonzalo A. Ruz, Rodrigo Morrás
Market Basket Analysis Using Minimum Spanning Trees. ENIC (2017)
Daniel A. Ashlock, Gonzalo A. Ruz
A novel representation for boolean networks designed to enhance heritability and scalability. CIBCB (2017)
Mauricio A. Valle, Gonzalo A. Ruz, Victor Hugo Masias
Using self-organizing maps to model turnover of sales agents in a call center. Appl. Soft Comput. 60 (2017)
Pablo A. Henríquez, Gonzalo A. Ruz
An Empirical Study of the Hidden Matrix Rank for Neural Networks with Random Weights. ICMLA (2017)
Pablo A. Henríquez, Gonzalo A. Ruz
Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers. Neurocomputing 226 (2017)
Aldo Mascareño, Eric Goles, Gonzalo A. Ruz
Crisis in complex social systems: A social theory view illustrated with the chilean case. Complex. 21 (S2) (2016)
Gonzalo A. Ruz
Improving the performance of inductive learning classifiers through the presentation order of the training patterns. Expert Syst. Appl. 58 (2016)
Gonzalo A. Ruz, Tania Timmermann, Eric Goles Ch.
Neutral space analysis of gene regulatory network models of salt stress response in Arabidopsis using evolutionary computation. CEC (2016)
Eric Goles Ch., Gonzalo A. Ruz
Dynamics of neural networks over undirected graphs. Neural Networks 63 (2015)
Mauricio A. Valle, Gonzalo A. Ruz
Turnover Prediction in a Call Center: Behavioral Evidence of Loss Aversion using Random Forest and Naïve Bayes Algorithms. Appl. Artif. Intell. 29 (9) (2015)
Gonzalo A. Ruz, Tania Timmermann, Eric Goles
Reconstruction of a GRN model of salt stress response in arabidopsis using genetic algorithms. CIBCB (2015)
Gonzalo A. Ruz, Eric Goles Ch.
Neutral graph of regulatory Boolean networks using evolutionary computation. CIBCB (2014)
Marco Montalva, Gonzalo A. Ruz, Eric Goles
Attraction Basins in a Lac Operon Model Under Different Update Schedules. ALIFE (2014)
Gonzalo A. Ruz, Eric Goles Ch., Marco Montalva, Gary B. Fogel
Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach. Biosyst. 115 (2014)
Gonzalo A. Ruz, Marco Montalva, Eric Goles Chacc
On the preservation of limit cycles in Boolean networks under different updating schemes. ECAL (2013)
Gonzalo A. Ruz, Samuel Varas, Marcelo Villena
Policy making for broadband adoption and usage in Chile through machine learning. Expert Syst. Appl. 40 (17) (2013)
Gonzalo A. Ruz, Eric Goles Ch.
Learning gene regulatory networks using the bees algorithm. Neural Comput. Appl. 22 (1) (2013)
Mauricio A. Valle, Samuel Varas, Gonzalo A. Ruz
Job performance prediction in a call center using a naive Bayes classifier. Expert Syst. Appl. 39 (11) (2012)
Gonzalo A. Ruz, Tania Timmermann, Eric Goles Ch.
Building Synthetic Networks of the Budding Yeast Cell-Cycle Using Swarm Intelligence. ICMLA (1) (2012)
Gonzalo A. Ruz, Duc Truong Pham
NBSOM: The naive Bayes self-organizing map. Neural Comput. Appl. 21 (6) (2012)
Gonzalo A. Ruz, Eric Goles Ch.
Reconstruction and update robustness of the mammalian cell cycle network. CIBCB (2012)
Gonzalo A. Ruz, Eric Goles Ch.
Learning Gene Regulatory Networks with Predefined Attractors for Sequential Updating Schemes Using Simulated Annealing. ICMLA (2010)
Gonzalo A. Ruz, Pablo A. Estévez, Pablo A. Ramírez
Automated visual inspection system for wood defect classification using computational intelligence techniques. Int. J. Syst. Sci. 40 (2) (2009)
Pedro A. Ortega, Cristián J. Figueroa, Gonzalo A. Ruz
A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile. DMIN (2006)