A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile. - Pedro A. Ortega; Cristián J. Figueroa; Gonzalo A. Ruz (DMIN, 2006)

Automated visual inspection system for wood defect classification using computational intelligence techniques. - Gonzalo A. Ruz; Pablo A. Estévez; Pablo A. Ramírez (Int. J. Syst. Sci., 2009)

Learning Gene Regulatory Networks with Predefined Attractors for Sequential Updating Schemes Using Simulated Annealing. - Gonzalo A. Ruz; Eric Goles Ch. (ICMLA, 2010)

Reconstruction and update robustness of the mammalian cell cycle network. - Gonzalo A. Ruz; Eric Goles Ch. (CIBCB, 2012)

Building Synthetic Networks of the Budding Yeast Cell-Cycle Using Swarm Intelligence. - Gonzalo A. Ruz; Tania Timmermann; Eric Goles Ch. (ICMLA (1), 2012)

Job performance prediction in a call center using a naive Bayes classifier. - Mauricio A. Valle; Samuel Varas; Gonzalo A. Ruz (Expert Syst. Appl., 2012)

NBSOM: The naive Bayes self-organizing map. - Gonzalo A. Ruz; Duc Truong Pham (Neural Comput. Appl., 2012)

On the preservation of limit cycles in Boolean networks under different updating schemes. - Gonzalo A. Ruz; Marco Montalva; Eric Goles Chacc (ECAL, 2013)

Policy making for broadband adoption and usage in Chile through machine learning. - Gonzalo A. Ruz; Samuel Varas; Marcelo J. Villena (Expert Syst. Appl., 2013)

Learning gene regulatory networks using the bees algorithm. - Gonzalo A. Ruz; Eric Goles Ch. (Neural Comput. Appl., 2013)

Attraction Basins in a Lac Operon Model Under Different Update Schedules. - Marco Montalva; Gonzalo A. Ruz; Eric Goles 001 (ALIFE, 2014)

Neutral graph of regulatory Boolean networks using evolutionary computation. - Gonzalo A. Ruz; Eric Goles Ch. (CIBCB, 2014)

Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach. - Gonzalo A. Ruz; Eric Goles Ch.; Marco Montalva; Gary B. Fogel (Biosyst., 2014)

Reconstruction of a GRN model of salt stress response in arabidopsis using genetic algorithms. - Gonzalo A. Ruz; Tania Timmermann; Eric Goles 001 (CIBCB, 2015)

Turnover Prediction in a Call Center: Behavioral Evidence of Loss Aversion using Random Forest and Naïve Bayes Algorithms. - Mauricio A. Valle; Gonzalo A. Ruz (Appl. Artif. Intell., 2015)

Dynamics of neural networks over undirected graphs. - Eric Goles Ch.; Gonzalo A. Ruz (Neural Networks, 2015)

Neutral space analysis of gene regulatory network models of salt stress response in Arabidopsis using evolutionary computation. - Gonzalo A. Ruz; Tania Timmermann; Eric Goles Ch. (CEC, 2016)

Crisis in complex social systems: A social theory view illustrated with the chilean case. - Aldo Mascareño; Eric Goles 001; Gonzalo A. Ruz (Complex., 2016)

Improving the performance of inductive learning classifiers through the presentation order of the training patterns. - Gonzalo A. Ruz (Expert Syst. Appl., 2016)

A novel representation for boolean networks designed to enhance heritability and scalability. - Daniel A. Ashlock; Gonzalo A. Ruz (CIBCB, 2017)

Inferring bistable lac operen Boolean regulatory networks using evolutionary computation. - Gonzalo A. Ruz; Daniel A. Ashlock; Thomas Ledger; Eric Goles 001 (CIBCB, 2017)

Market Basket Analysis Using Minimum Spanning Trees. - Mauricio A. Valle; Gonzalo A. Ruz; Rodrigo Morrás (ENIC, 2017)

An Empirical Study of the Hidden Matrix Rank for Neural Networks with Random Weights. - Pablo A. Henríquez; Gonzalo A. Ruz (ICMLA, 2017)

Using self-organizing maps to model turnover of sales agents in a call center. - Mauricio A. Valle; Gonzalo A. Ruz; Victor Hugo Masias (Appl. Soft Comput., 2017)

Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers. - Pablo A. Henríquez; Gonzalo A. Ruz (Neurocomputing, 2017)

Transactional Database Analysis by Discovering Pairwise Interactions Strengths. - Mauricio A. Valle; Gonzalo A. Ruz; Sergio Rica (ASONAM, 2018)

Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy. - Gonzalo A. Ruz; Eric Goles 001; Sylvain Sené (CEC, 2018)

Twitter Sentiment Classification Based on Deep Random Vector Functional Link. - Pablo A. Henríquez; Gonzalo A. Ruz (IJCNN, 2018)

A non-iterative method for pruning hidden neurons in neural networks with random weights. - Pablo A. Henríquez; Gonzalo A. Ruz (Appl. Soft Comput., 2018)

School Choice in a Market Environment: Individual versus Social Expectations. - Catalina Canals; Eric Goles 001; Aldo Mascareño; Sergio Rica; Gonzalo A. Ruz (Complex., 2018)

Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers. - Gonzalo A. Ruz; Pamela Araya-Díaz (Complex., 2018)

Market basket analysis: Complementing association rules with minimum spanning trees. - Mauricio A. Valle; Gonzalo A. Ruz; Rodrigo Morrás (Expert Syst. Appl., 2018)

A Boolean network model of bacterial quorum-sensing systems. - Gonzalo A. Ruz; Ana Zúñiga; Eric Goles 001 (Int. J. Data Min. Bioinform., 2018)

Market Basket Analysis Using Boltzmann Machines. - Mauricio A. Valle; Gonzalo A. Ruz (ICANN (4), 2019)

Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data. - Gonzalo A. Ruz; Pablo A. Henríquez (ICTAI, 2019)

Noise reduction for near-infrared spectroscopy data using extreme learning machines. - Pablo A. Henríquez; Gonzalo A. Ruz (Eng. Appl. Artif. Intell., 2019)

Estimating SIR model parameters from data using differential evolution: an application with COVID-19 data. - Sergio Rica; Gonzalo A. Ruz (CIBCB, 2020)

Slow Degradation Fault Detection in a Harsh Environment. - Anthony D. Cho; Rodrigo A. Carrasco; Gonzalo A. Ruz; José Luis Ortiz (IEEE Access, 2020)

Reconstruction of a gene regulatory network of the induced systemic resistance defense response in Arabidopsis using boolean networks. - Tania Timmermann; Bernardo González; Gonzalo A. Ruz (BMC Bioinform., 2020)

Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers. - Gonzalo A. Ruz; Pablo A. Henríquez; Aldo Mascareño (Future Gener. Comput. Syst., 2020)

Attractor landscapes in Boolean networks with firing memory: a theoretical study applied to genetic networks. - Eric Goles 001; Fabiola Lobos; Gonzalo A. Ruz; Sylvain Sené (Nat. Comput., 2020)

Finding Hierarchical Structures of Disordered Systems: An Application for Market Basket Analysis. - Mauricio A. Valle; Gonzalo A. Ruz (IEEE Access, 2021)

Analyzing Boolean Networks Through Unsupervised Learning. - Gonzalo A. Ruz (Automata and Complexity, 2022)

Learning binary threshold networks for gene regulatory network modeling. - Gonzalo A. Ruz; Eric Goles 001 (CIBCB, 2022)

Characterizing consensus in threshold Boolean networks. - Gonzalo A. Ruz; Eric Goles 001 (IJCNN, 2022)

Improving Prescriptive Maintenance by Incorporating Post-Prognostic Information Through Chance Constraints. - Anthony D. Cho; Rodrigo A. Carrasco; Gonzalo A. Ruz (IEEE Access, 2022)

Computational intelligence and machine learning in bioinformatics and computational biology. - Madhu Chetty; Jennifer Hallinan; Gonzalo A. Ruz; Anil Wipat (Biosyst., 2022)

Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020). - Gonzalo A. Ruz; Daniel A. Ashlock; Richard Allmendinger 001; Gary B. Fogel (Biosyst., 2022)

Attractor landscapes in Boolean networks with firing memory. - Eric Goles Ch.; Fabiola Lobos; Gonzalo A. Ruz; Sylvain Sené (CoRR, 2022)

Physics-informed neural networks for operator equations with stochastic data. - Paul Escapil-Inchauspé; Gonzalo A. Ruz (CoRR, 2022)

Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes. - Gonzalo A. Ruz; Pamela Araya-Díaz; Pablo A. Henríquez (BMC Medical Informatics Decis. Mak., 2022)

A RUL Estimation System from Clustered Run-to-Failure Degradation Signals. - Anthony D. Cho; Rodrigo A. Carrasco; Gonzalo A. Ruz (Sensors, 2022)

A novel linear representation for evolving matrices. - Connor Gregor; Daniel A. Ashlock; Gonzalo A. Ruz; Duncan MacKinnon; David Kribs (Soft Comput., 2022)

Inference of threshold network models of the tryptophan operon in Escherichia coli. - Gonzalo A. Ruz (CIBCB, 2023)

h-analysis and data-parallel physics-informed neural networks. - Paul Escapil-Inchauspé; Gonzalo A. Ruz (CoRR, 2023)

Classification of Alzheimer's disease stages from magnetic resonance images using deep learning. - Alejandro Mora-Rubio; Mario Alejandro Bravo-Ortiz; Sebastián Quiñones Arredondo; José Manuel Saborit-Torres; Gonzalo A. Ruz; Reinel Tabares-Soto (PeerJ Comput. Sci., 2023)

Gene regulatory networks with binary weights. - Gonzalo A. Ruz; Eric Goles 001 (Biosyst., 2023)

Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems. - Paul Escapil-Inchauspé; Gonzalo A. Ruz (Neurocomputing, 2023)

Gene Regulatory Network for the Tryptophanase Operon Under the Threshold Boolean Network Model. - Felipe Encina-Chacana; Gonzalo A. Ruz (CIARP (2), 2024)

Comparative Analysis of Spatial and Spectral Methods in GNN for Power Flow in Electrical Power Systems. - Paulo A. Espinoza; Gonzalo A. Ruz (CIARP (2), 2024)

SMOTE for gene regulatory network sampling. - Gonzalo A. Ruz; Nitesh V. Chawla (CIBCB, 2024)

Social Consensus Modeling Using Threshold Boolean Networks. - Salvador A. Méndez; Gonzalo A. Ruz (SCCC, 2024)

SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer's disease using spectrograms. - Mario Alejandro Bravo-Ortiz; Ernesto Guevara-Navarro; Sergio Alejandro Holguin-Garcia; Mariana Rivera-Garcia; Oscar Cardona-Morales; Gonzalo A. Ruz; Reinel Tabares-Soto (Comput. Biol. Medicine, 2024)

Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems. - Ricardo Ortega-Bolaños; Joshua Bernal-Salcedo; Mariana Germán Ortiz; Julian Galeano Sarmiento; Gonzalo A. Ruz; Reinel Tabares-Soto (Artif. Intell. Rev., 2024)

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

A systematic review of vision transformers and convolutional neural networks for Alzheimer's disease classification using 3D MRI images. - Mario Alejandro Bravo-Ortiz; Sergio Alejandro Holguin-Garcia; Sebastián Quiñones Arredondo; Alejandro Mora-Rubio; Ernesto Guevara-Navarro; Harold Brayan Arteaga-Arteaga; Gonzalo A. Ruz; Reinel Tabares-Soto (Neural Comput. Appl., 2024)

Training threshold Boolean networks: applications to gene regulatory network modeling. - Gonzalo A. Ruz (CISS, 2025)

A Fine-Tuned BERT-Based Model for Individual Log Anomaly Detection in Operational Monitoring at Paranal Observatory. - Andrés H. Catalán; Rodrigo A. Carrasco; Gonzalo A. Ruz; Juan Pablo Gil (IEEE Access, 2025)

Generalization power of threshold Boolean networks. - Gonzalo A. Ruz; Anthony D. Cho (Biosyst., 2025)

Building better forecasting pipelines: A generalizable guide to multi-output spatio-temporal forecasting. - Daniel Arias-Garzón; Reinel Tabares-Soto; Gonzalo A. Ruz (Expert Syst. Appl., 2025)