Gonzalo A. Ruz es Ingeniero Civil Electricista y Magíster en Ciencias de la Ingeniería, mención Ingeniería Eléctrica por la Universidad de Chile. Completó su Ph.D. en la Universidad de Cardiff, Reino Unido, en el 2008. Actualmente, es profesor titular de la Facultad de Ingeniería y Ciencias de la Universidad Adolfo Ibáñez, Santiago. Sus líneas de investigación incluyen aprendizaje automático, computación evolutiva, ciencia de datos, modelos de redes de regulación génica, y sistemas complejos.
Gonzalo Ruz
PhD in Machine Learning
Gonzalo Ruz
PhD in Machine Learning
Evolutionary computation for reconstructing threshold networks of the tryptophan operon in Escherichia coli</>
Ruz, G., Ledger, T. & Macauley, M., ene. 2026, In: BioSystems, 259.Using neural networks as an alternative to air dispersion modeling in environmental impact assessment</>
Concha, M. & Ruz, G., 2026, In: PeerJ Computer Science, 12.Generalization power of threshold Boolean networks</>
Ruz, G. & Cho, A., nov. 2025, In: BioSystems, 257.Building better forecasting pipelines</>
Arias-Garzón, D., Tabares-Soto, R. & Ruz, G., ene. 2025, In: Expert Systems with Applications, 259.Design and Implementation of a Bayesian Classifier with Automatic Complexity Regulation</>
Hawas, E. & Ruz, G., 2025.Transformers and capsule networks vs classical ML on clinical data for alzheimer classification</>
Bravo-Ortíz, M., Holguín-García, S., Guevara-Navarro, E., Cerón-Cabrera, E., Mora-Rubio, A., Arteaga-Arteaga, H., Ruz, G. & Tabares-Soto, R., 2025, In: PeerJ Computer Science, 11.A Convolutional Vision Transformer with Channel Attention for Multi-Class Alzheimer's Disease Classification Using MRI</>
Bravo-Ortiz, M., Holguin-Garcia, S., Guevara-Navarro, E., Cardona-Perez, L., Medina-Lopez, R., Duque, I., Tabares-Soto, R. & Ruz, G., 2025.Graph Theory-Based Topological and Nodal Analysis for Identifying Critical Points to Enhance Resilience in Electrical Distribution Systems</>
Espinoza-Arriagada, P., Ruz, G. & Gutierrez-Lagos, L., 2025.A Fine-Tuned BERT-Based Model for Individual Log Anomaly Detection in Operational Monitoring at Paranal Observatory</>
Catalán, A., Carrasco, R., Ruz, G. & Gil, J., 2025, In: IEEE Access, 13, p. 117464-117478.Training threshold Boolean networks</>
Ruz, G., 2025.Comparative Analysis of Spatial and Spectral Methods in GNN for Power Flow in Electrical Power Systems</>
Espinoza, P. & Ruz, G., 2025.Gene Regulatory Network for the Tryptophanase Operon Under the Threshold Boolean Network Model</>
Encina-Chacana, F. & Ruz, G., 2025.Author Correction</>
Escapil‑Inchauspé, P. & Ruz, G., dic. 2024, In: Scientific Reports, 14, 1.A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure</>
Holguin-Garcia, S., Guevara-Navarro, E., Daza-Chica, A., Patiño-Claro, M., Arteaga-Arteaga, H., Ruz, G., Tabares-Soto, R. & Bravo-Ortiz, M., dic. 2024, In: BMC Medical Informatics and Decision Making, 24, 1.SpectroCVT-Net</>
Bravo-Ortiz, M., Guevara-Navarro, E., Holguín-García, S., Rivera-Garcia, M., Cardona-Morales, O., Ruz, G. & Tabares-Soto, R., oct. 2024, In: Computers in Biology and Medicine, 181.Applying the ethics of AI</>
Ortega-Bolaños, R., Bernal-Salcedo, J., Germán Ortiz, M., Galeano Sarmiento, J., Ruz, G. & Tabares-Soto, R., may. 2024, In: Artificial Intelligence Review, 57, 5.Social Consensus Modeling Using Threshold Boolean Networks</>
Mendez, S. & Ruz, G., 2024.SMOTE for gene regulatory network sampling</>
Ruz, G. & Chawla, N., 2024.A systematic review of vision transformers and convolutional neural networks for Alzheimer’s disease classification using 3D MRI images</>
Bravo-Ortiz, M., Holguin-Garcia, S., Quiñones-Arredondo, S., Mora-Rubio, A., Guevara-Navarro, E., Arteaga-Arteaga, H., Ruz, G. & Tabares-Soto, R., 2024, In: Neural Computing and Applications, 36, 35, p. 21985-22012.h-Analysis and data-parallel physics-informed neural networks</>
Escapil-Inchauspé, P. & Ruz, G., dic. 2023, In: Scientific Reports, 13, 1.Hyper-parameter tuning of physics-informed neural networks</>
Escapil-Inchauspé, P. & Ruz, G., dic. 2023, In: Neurocomputing, 561.Biases associated with database structure for COVID-19 detection in X-ray images</>
Arias-Garzón, D., Tabares-Soto, R., Bernal-Salcedo, J. & Ruz, G., dic. 2023, In: Scientific Reports, 13, 1.Gene regulatory networks with binary weights</>
Ruz, G. & Goles, E., may. 2023, In: BioSystems, 227-228.Evaluation of Atmospheric Environmental Regulations</>
Concha, M. & Ruz, G., feb. 2023, In: Atmosphere, 14, 2.Evaluation of Atmospheric Environmental Regulations</>
Concha, M. & Ruz, G., feb. 2023, In: Atmosphere, 14, 2.Classification of Alzheimer’s disease stages from magnetic resonance images using deep learning</>
Mora-Rubio, A., Bravo-Ortíz, M., Arredondo, S., Torres, J., Ruz, G. & Tabares-Soto, R., 2023, In: PeerJ Computer Science, 9.Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes</>
Ruz, G., Araya-Díaz, P. & Henríquez, P., dic. 2022, In: BMC Medical Informatics and Decision Making, 22, 1.Computational intelligence and machine learning in bioinformatics and computational biology</>
Chetty, M., Hallinan, J., Ruz, G. & Wipat, A., dic. 2022, In: BioSystems, 222.Individual competence predominates over host nutritional status in Arabidopsis root exudate-mediated bacterial enrichment in a combination of four Burkholderiaceae species</>
Cillero, J., Henríquez, P., Ledger, T., Ruz, G. & González, B., dic. 2022, In: BMC Microbiology, 22, 1.Editorial</>
Ruz, G., Ashlock, D., Allmendinger, R. & Fogel, G., ago. 2022, In: BioSystems, 218.A RUL Estimation System from Clustered Run-to-Failure Degradation Signals</>
Cho, A., Carrasco, R. & Ruz, G., jul. 2022, In: Sensors, 22, 14.Learning from crises? The long and winding road of the salmon industry in Chiloé Island, Chile</>
Billi, M., Mascareño, A., Henríquez, P., Rodríguez, I., Padilla, F. & Ruz, G., jun. 2022, In: Marine Policy, 140.Bayesian Constitutionalization</>
Ruz, G., Henríquez, P. & Mascareño, A., ene. 2022, In: Mathematics, 10, 2.Seroprevalence and estimation of the impact of SARS-CoV-2 infection in older adults residing in Long-term Care Facilities in Chile</>
Rubilar, P., Hirmas, M., Matute, I., Browne, J., Little, C., Ruz, G., Aguilera, X., Ávila, C., Vial, P. & Mackenzie, T., 2022, In: Medwave, 22, 3.Characterizing consensus in threshold Boolean networks</>
Ruz, G. & Goles, E., 2022.Welcome to IEEE CIBCB 2022</>
Ashlock, D., Fogel, G., Houghten, S., Brown, J., Hughes, J., Fogel, G., Houghten, S., Allmendinger, R., Auephanwiriyakul, S., Ruz, G., Stoodley, M., Dubé, M., Saunders, A., Nobile, M., Ruz, G., Li, Y. & Tchagang, A., 2022, In: 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022.Learning binary threshold networks for gene regulatory network modeling</>
Ruz, G. & Goles, E., 2022.La importancia del espacio geográfico para minimizar el error de muestras representativas</>
Truffello, R., Flores, M., Garretón, M. & Ruz, G., 2022, In: Revista de Geografia Norte Grande, 2022, 81, p. 137-160.Improving Prescriptive Maintenance by Incorporating Post-Prognostic Information Through Chance Constraints</>
Cho, A., Carrasco, R. & Ruz, G., 2022, In: IEEE Access, 10, p. 55924-55932.Drawing constitutional boundaries</>
Cordero, R., Mascareño, A., Henríquez, P. & Ruz, G., 2022, In: Historical Methods, 55, 3, p. 145-167.A novel linear representation for evolving matrices</>
Gregor, C., Ashlock, D., Ruz, G., MacKinnon, D. & Kribs, D., 2022, In: Soft Computing, 26, 14, p. 6645-6657.Predicting out-of-stock using machine learning</>
Andaur, J., Ruz, G. & Goycoolea, M., nov. 2021, In: Electronics (Switzerland), 10, 22.Lac operon boolean models</>
Montalva-Medel, M., Ledger, T., Ruz, G. & Goles, E., mar. 2021, In: Mathematics, 9, 6.Modeling recidivism through bayesian regression models and deep neural networks</>
de la Cruz, R., Padilla, O., Valle, M. & Ruz, G., mar. 2021, In: Mathematics, 9, 6.Finding Hierarchical Structures of Disordered Systems</>
Valle, M. & Ruz, G., 2021, In: IEEE Access, 9, p. 1626-1641.Estimating SIR model parameters from data using differential evolution</>
Rica, S. & Ruz, G., oct. 2020.A twitter-lived red tide crisis on Chiloé island, chile</>
Mascareño, A., Henríquez, P., Billi, M. & Ruz, G., oct. 2020, In: Sustainability (Switzerland), 12, 20, p. 1-38.Attractor landscapes in Boolean networks with firing memory</>
Goles, E., Lobos, F., Ruz, G. & Sené, S., jun. 2020, In: Natural Computing, 19, 2, p. 295-319.Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers</>
Ruz, G., Henríquez, P. & Mascareño, A., may. 2020, In: Future Generation Computer Systems, 106, p. 92-104.Reconstruction of a gene regulatory network of the induced systemic resistance defense response in Arabidopsis using boolean networks</>
Timmermann, T., González, B. & Ruz, G., abr. 2020, In: BMC Bioinformatics, 21, 1.Slow Degradation Fault Detection in a Harsh Environment</>
Cho, A., Carrasco, R., Ruz, G. & Ortiz, J., 2020, In: IEEE Access, 8, p. 175904-175920.Random vector functional link with naive bayes for classification problems of mixed data</>
Ruz, G. & Henriquez, P., nov. 2019.Gene networks underlying the early regulation of Paraburkholderia phytofirmans PsJN induced systemic resistance in Arabidopsis</>
Timmermann, T., Poupin, M., Vega, A., Urrutia, C., Ruz, G. & González, B., ago. 2019, In: PLoS ONE, 14, 8.Market basket analysis by solving the inverse Ising problem</>
Valle, M., Ruz, G. & Rica, S., jun. 2019, In: Physica A: Statistical Mechanics and its Applications, 524, p. 36-44.Noise reduction for near-infrared spectroscopy data using extreme learning machines</>
Henríquez, P. & Ruz, G., mar. 2019, In: Engineering Applications of Artificial Intelligence, 79, p. 13-22.Market Basket Analysis Using Boltzmann Machines</>
Valle, M. & Ruz, G., 2019.Discovering divergence in the thermal physiology of intertidal crabs along latitudinal gradients using an integrated approach with machine learning</>
Osores, S., Ruz, G., Opitz, T. & Lardies, M., dic. 2018, In: Journal of Thermal Biology, 78, p. 140-150.Controversies in social-ecological systems</>
Mascareño, A., Cordero, R., Azócar, G., Billi, M., Henríquez, P. & Ruz, G., dic. 2018, In: Ecology and Society, 23, 4.Twitter Sentiment Classification Based on Deep Random Vector Functional Link</>
Henriquez, P. & Ruz, G., oct. 2018.Transactional database analysis by discovering pairwise interactions strengths</>
Valle, M., Ruz, G. & Rica, S., oct. 2018.A non-iterative method for pruning hidden neurons in neural networks with random weights</>
Henríquez, P. & Ruz, G., sep. 2018, In: Applied Soft Computing Journal, 70, p. 1109-1121.Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy</>
Ruz, G., Goles, E. & Sené, S., sep. 2018.Market basket analysis</>
Valle, M., Ruz, G. & Morrás, R., may. 2018, In: Expert Systems with Applications, 97, p. 146-162.Managing the 1920s’ Chilean educational crisis</>
Rengifo, F., Ruz, G. & Mascareño, A., may. 2018, In: PLoS ONE, 13, 5.Fast-SG</>
Genova, A., Ruz, G., Sagot, M. & Maass, A., may. 2018, In: GigaScience, 7, 5, p. 1-15.Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers</>
Ruz, G. & Araya-Díaz, P., 2018, In: Complexity, 2018.A Boolean network model of bacterial quorumsensing systems</>
Ruz, G., Zúñiga, A. & Goles, E., 2018, In: International Journal of Data Mining and Bioinformatics, 21, 2, p. 123-144.School Choice in a Market Environment</>
Canals, C., Goles, E., Mascareño, A., Rica, S. & Ruz, G., 2018, In: Complexity, 2018.Early successional patterns of bacterial communities in soil microcosms reveal changes in bacterial community composition and network architecture, depending on the successional condition</>
Rodriguez-Valdecantos, G., Manzano, M., Sanchez, R., Urbina, F., Hengst, M., Antonio Lardies, M., Ruz, G. & Gonzalez, B., nov. 2017, In: Applied Soil Ecology, 120, p. 44-54.Using self-organizing maps to model turnover of sales agents in a call center</>
Valle, M., Ruz, G. & Masías, V., nov. 2017, In: Applied Soft Computing Journal, 60, p. 763-774.Early successional patterns of bacterial communities in soil microcosms reveal changes in bacterial community composition and network architecture, depending on the successional condition</>
Rodríguez-Valdecantos, G., Manzano, M., Sánchez, R., Urbina, F., Hengst, M., Lardies, M., Ruz, G. & González, B., nov. 2017, In: Applied Soil Ecology, 120, p. 44-54.Inferring bistable lac operen Boolean regulatory networks using evolutionary computation</>
Ruz, G., Ashlock, D., Ledger, T. & Goles, E., oct. 2017.A novel representation for boolean networks designed to enhance heritability and scalability</>
Ashlock, D. & Ruz, G., oct. 2017.Quorum-sensing systems in the plant growth-promoting bacterium paraburkholderia phytofirmans PsJN exhibit cross-regulation and are involved in biofilm formation</>
Źuñiga, A., Donoso, R., Ruiz, D., Ruz, G. & Gonźalez, B., jul. 2017, In: Molecular Plant-Microbe Interactions, 30, 7, p. 557-565.Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers</>
Henríquez, P. & Ruz, G., feb. 2017, In: Neurocomputing, 226, p. 109-116.An empirical study of the hidden matrix rank for neural networks with random weights</>
Henriquez, P. & Ruz, G., 2017.Neutral space analysis of gene regulatory network models of salt stress response in Arabidopsis using evolutionary computation</>
Ruz, G., Timmermann, T. & Goles, E., nov. 2016.Crisis in complex social systems</>
Mascareño, A., Goles, E. & Ruz, G., nov. 2016, In: Complexity, 21, p. 13-23.Improving the performance of inductive learning classifiers through the presentation order of the training patterns</>
Ruz, G., oct. 2016, In: Expert Systems with Applications, 58, p. 1-9.Explaining job satisfaction and intentions to quit from a value-risk perspective</>
Valle, M., Ruz, G. & Varas, S., nov. 2015, In: Academia Revista Latinoamericana de Administracion, 28, 4, p. 523-540.Reconstruction of a GRN model of salt stress response in arabidopsis using genetic algorithms</>
Ruz, G., Timmermann, T. & Goles, E., oct. 2015.Turnover prediction in a call center</>
Valle, M. & Ruz, G., oct. 2015, In: Applied Artificial Intelligence, 29, 9, p. 923-942.A survival model based on met expectations</>
Valle, M., Ruz, G. & Varas, S., jun. 2015, In: Academia Revista Latinoamericana de Administracion, 28, 2, p. 177-194.Dynamics of neural networks over undirected graphs</>
Goles, E. & Ruz, G., mar. 2015, In: Neural Networks, 63, p. 156-169.Dynamical and topological robustness of the mammalian cell cycle network</>
Ruz, G., Goles, E., Montalva, M. & Fogel, G., ene. 2014, In: BioSystems, 115, 1, p. 23-32.Neutral space analysis for a Boolean network model of the fission yeast cell cycle network</>
Ruz, G., Timmermann, T., Barrera, J. & Goles, E., 2014, In: Biological Research, 47, 1.Neutral graph of regulatory Boolean networks using evolutionary computation</>
Ruz, G. & Goles, E., 2014.Attraction basins in a lac operon model under different update schedules</>
Montalva, M., Ruz, G. & Goles, E., 2014.Deconstruction and Dynamical Robustness of Regulatory Networks</>
Goles, E., Montalva, M. & Ruz, G., jun. 2013, In: Bulletin of Mathematical Biology, 75, 6, p. 939-966.Learning gene regulatory networks using the bees algorithm</>
Ruz, G. & Goles, E., ene. 2013, In: Neural Computing and Applications, 22, 1, p. 63-70.On the preservation of limit cycles in Boolean networks under different updating schemes</>
Ruz, G., Montalva, M. & Goles, E., 2013.Policy making for broadband adoption and usage in Chile through machine learning</>
Ruz, G., Varas, S. & Villena, M., 2013, In: Expert Systems with Applications, 40, 17, p. 6728-6734.Discovering craniofacial patterns using multivariate cephalometric data for treatment decision making in orthodontics</>
Araya-Díaz, P., Ruz, G. & Palomino, H., 2013, In: International Journal of Morphology, 31, 3, p. 1109-1115.NBSOM</>
Ruz, G. & Pham, D., sep. 2012, In: Neural Computing and Applications, 21, 6, p. 1319-1330.Job performance prediction in a call center using a naive Bayes classifier</>
Valle, M., Varas, S. & Ruz, G., sep. 2012, In: Expert Systems with Applications, 39, 11, p. 9939-9945.Reconstruction and update robustness of the mammalian cell cycle network</>
Ruz, G. & Goles, E., 2012.Building synthetic networks of the budding yeast cell-cycle using swarm intelligence</>
Ruz, G., Timmermann, T. & Goles, E., 2012.Cycle attractors for different deterministic updating schemes in Boolean regulation networks</>
Ruz, G. & Goles, E., 2010.Unsupervised training of Bayesian networks for data clustering</>
Pham, D. & Ruz, G., sep. 2009, In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 465, 2109, p. 2927-2948.Building Bayesian network classifiers through a Bayesian complexity monitoring system</>
Ruz, G. & Pham, D., mar. 2009, In: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 223, 3, p. 743-756.Automated visual inspection system for wood defect classification using computational intelligence techniques</>
Ruz, G., Estevez, P. & Ramirez, P., feb. 2009, In: International Journal of Systems Science, 40, 2, p. 163-172.A neurofuzzy color image segmentation method for wood surface defect detection</>
Ruz, G., Estévez, P. & Perez, C., abr. 2005, In: Forest Products Journal, 55, 4, p. 52-58.Núcleo Milenio para la Ciencia de Datos Sociales</>
Ruz, G. (Director) , Goles, E. (Senior) , De la Cruz, R. (Principal Investigator) , Montealegre, P. (Principal Investigator) & Vásquez, J. (Associate Researcher)1/09/24 → 1/09/27.
Núcleo Milenio en Ciencia de Datos y Resiliencia Vegetal </>
Ruz, G. (Principal Investigator) & Goles, E. (Senior)1/09/24 → 1/09/27.
Plasma : Plataforma de analítica em sistemas para mantenimiento</>
Ruz, G. (Researcher)16/08/24 → 16/08/26.
MODELO DE MONITOREO EMISIONES ATMOSFÉRICA - CENTRAL TERMOELECTRICA MEJILLONES</>
Ruz, G. (Tutor/Guiding Teacher)7/11/22 → 7/09/24.
Resource cost-aware scheduling problems under uncertainty</>
Ruz, G. (Co-Investigator) & Aburto, L. (Co-Investigator)1/04/23 → 1/04/27.
Gobernando transiciones críticas en sistemas socioecológicos: El caso de Chiloé, Chile.</>
Goles, E. (Co-Investigator) & Ruz, G. (Co-Investigator)1/04/19 → 1/04/23.
Machine Learning for Mental Health: New Developments and Applications using Multimodal Data</>
De la Cruz, R. (Director) , Duran-Aniotz, C. (Alternate Director) , Ruz, G. (Researcher) , Ibáñez, A. (Researcher) & Bevilacqua, M. (Researcher)1/11/21 → 1/11/24.
Gema: Mejorando la gestión de energía en microrredes con almacenamiento vía optimización estocástica y machine learning</>
Homem, T. (Alternate Director) & Ruz, G. (Researcher)1/12/19 → 1/12/21.
Learning threshold networks for social and biological applications</>
Ruz, G. (Principal Investigator)1/04/23 → 1/04/27.
Learning strategies for discrete, continuous, and hybrid Bayesian network classifiers.</>
Ruz, G. (Principal Investigator)1/04/18 → 1/04/22.
Uncertainty Quantification in Physics-Informed Neural Networks with applications</>
Ruz, G. (Sponsoring Researcher)15/04/23 → 15/04/25.