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ORCIDGonzalo A. Ruz
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2020 – today
- 2025
[j36]Daniel Arias-Garzón
, Reinel Tabares-Soto, Gonzalo A. Ruz:
Building better forecasting pipelines: A generalizable guide to multi-output spatio-temporal forecasting. Expert Syst. Appl. 259: 125384 (2025)- 2024
- [j35]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): 110 (2024) - [j34]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: 109022 (2024) - [j33]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): 60 (2024) - [c24]Gonzalo A. Ruz, Nitesh V. Chawla:
SMOTE for gene regulatory network sampling. CIBCB 2024: 1-8 - 2023
- [j32]Gonzalo A. Ruz, Eric Goles:
Gene regulatory networks with binary weights. Biosyst. 227-228: 104902 (2023) - [j31]Paul Escapil-Inchauspé, Gonzalo A. Ruz:
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems. Neurocomputing 561: 126826 (2023) - [j30]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: e1490 (2023) - [c23]Gonzalo A. Ruz:
Inference of threshold network models of the tryptophan operon in Escherichia coli. CIBCB 2023: 1-7 - [i4]Paul Escapil-Inchauspé, Gonzalo A. Ruz:
h-analysis and data-parallel physics-informed neural networks. CoRR abs/2302.08835 (2023) - 2022
- [j29]Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz:
Improving Prescriptive Maintenance by Incorporating Post-Prognostic Information Through Chance Constraints. IEEE Access 10: 55924-55932 (2022) - [j28]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: 104698 (2022) - [j27]Madhu Chetty, Jennifer Hallinan, Gonzalo A. Ruz, Anil Wipat:
Computational intelligence and machine learning in bioinformatics and computational biology. Biosyst. 222: 104792 (2022) - [j26]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): 316 (2022) - [j25]Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz:
A RUL Estimation System from Clustered Run-to-Failure Degradation Signals. Sensors 22(14): 5323 (2022) - [j24]Connor Gregor, Daniel A. Ashlock, Gonzalo A. Ruz, Duncan MacKinnon, David Kribs:
A novel linear representation for evolving matrices. Soft Comput. 26(14): 6645-6657 (2022) - [c22]Gonzalo A. Ruz:
Analyzing Boolean Networks Through Unsupervised Learning. Automata and Complexity 2022: 219-231 - [c21]Gonzalo A. Ruz, Eric Goles:
Learning binary threshold networks for gene regulatory network modeling. CIBCB 2022: 1-8 - [c20]Gonzalo A. Ruz, Eric Goles:
Characterizing consensus in threshold Boolean networks. IJCNN 2022: 1-8 - [i3]Eric Goles Ch., Fabiola Lobos, Gonzalo A. Ruz, Sylvain Sené:
Attractor landscapes in Boolean networks with firing memory. CoRR abs/2204.10702 (2022) - [i2]Paul Escapil-Inchauspé, Gonzalo A. Ruz:
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems. CoRR abs/2205.06704 (2022) - [i1]Paul Escapil-Inchauspé, Gonzalo A. Ruz:
Physics-informed neural networks for operator equations with stochastic data. CoRR abs/2211.10344 (2022) - 2021
- [j23]Mauricio A. Valle, Gonzalo A. Ruz:
Finding Hierarchical Structures of Disordered Systems: An Application for Market Basket Analysis. IEEE Access 9: 1626-1641 (2021) - 2020
- [j22]Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz, José Luis Ortiz:
Slow Degradation Fault Detection in a Harsh Environment. IEEE Access 8: 175904-175920 (2020) - [j21]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): 142 (2020) - [j20]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: 92-104 (2020) - [j19]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): 295-319 (2020) - [c19]Sergio Rica, Gonzalo A. Ruz:
Estimating SIR model parameters from data using differential evolution: an application with COVID-19 data. CIBCB 2020: 1-6
2010 – 2019
- 2019
- [j18]Pablo A. Henríquez, Gonzalo A. Ruz:
Noise reduction for near-infrared spectroscopy data using extreme learning machines. Eng. Appl. Artif. Intell. 79: 13-22 (2019) - [c18]Mauricio A. Valle, Gonzalo A. Ruz:
Market Basket Analysis Using Boltzmann Machines. ICANN (4) 2019: 611-623 - [c17]Gonzalo A. Ruz, Pablo A. Henríquez:
Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data. ICTAI 2019: 1749-1752 - 2018
- [j17]Pablo A. Henríquez, Gonzalo A. Ruz:
A non-iterative method for pruning hidden neurons in neural networks with random weights. Appl. Soft Comput. 70: 1109-1121 (2018) - [j16]Catalina Canals, Eric Goles, Aldo Mascareño, Sergio Rica, Gonzalo A. Ruz:
School Choice in a Market Environment: Individual versus Social Expectations. Complex. 2018: 3793095:1-3793095:11 (2018) - [j15]Gonzalo A. Ruz, Pamela Araya-Díaz:
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers. Complex. 2018: 4075656:1-4075656:14 (2018) - [j14]Mauricio A. Valle, Gonzalo A. Ruz, Rodrigo Morrás:
Market basket analysis: Complementing association rules with minimum spanning trees. Expert Syst. Appl. 97: 146-162 (2018) - [j13]Gonzalo A. Ruz, Ana Zúñiga, Eric Goles:
A Boolean network model of bacterial quorum-sensing systems. Int. J. Data Min. Bioinform. 21(2): 123-144 (2018) - [c16]Mauricio A. Valle, Gonzalo A. Ruz, Sergio Rica:
Transactional Database Analysis by Discovering Pairwise Interactions Strengths. ASONAM 2018: 849-854 - [c15]Gonzalo A. Ruz, Eric Goles, Sylvain Sené:
Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy. CEC 2018: 1-8 - [c14]Pablo A. Henríquez, Gonzalo A. Ruz:
Twitter Sentiment Classification Based on Deep Random Vector Functional Link. IJCNN 2018: 1-6 - 2017
- [j12]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: 763-774 (2017) - [j11]Pablo A. Henríquez, Gonzalo A. Ruz:
Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers. Neurocomputing 226: 109-116 (2017) - [c13]Daniel A. Ashlock, Gonzalo A. Ruz:
A novel representation for boolean networks designed to enhance heritability and scalability. CIBCB 2017: 1-8 - [c12]Gonzalo A. Ruz, Daniel A. Ashlock, Thomas Ledger, Eric Goles:
Inferring bistable lac operen Boolean regulatory networks using evolutionary computation. CIBCB 2017: 1-8 - [c11]Mauricio A. Valle, Gonzalo A. Ruz, Rodrigo Morrás:
Market Basket Analysis Using Minimum Spanning Trees. ENIC 2017: 155-167 - [c10]Pablo A. Henríquez, Gonzalo A. Ruz:
An Empirical Study of the Hidden Matrix Rank for Neural Networks with Random Weights. ICMLA 2017: 883-888 - 2016
- [j10]Aldo Mascareño, Eric Goles, Gonzalo A. Ruz:
Crisis in complex social systems: A social theory view illustrated with the chilean case. Complex. 21(S2): 13-23 (2016) - [j9]Gonzalo A. Ruz:
Improving the performance of inductive learning classifiers through the presentation order of the training patterns. Expert Syst. Appl. 58: 1-9 (2016) - [c9]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: 4281-4288 - 2015
- [j8]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): 923-942 (2015) - [j7]Eric Goles Ch., Gonzalo A. Ruz:
Dynamics of neural networks over undirected graphs. Neural Networks 63: 156-169 (2015) - [c8]Gonzalo A. Ruz, Tania Timmermann, Eric Goles:
Reconstruction of a GRN model of salt stress response in arabidopsis using genetic algorithms. CIBCB 2015: 1-8 - 2014
- [j6]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: 23-32 (2014) - [c7]Marco Montalva, Gonzalo A. Ruz, Eric Goles:
Attraction Basins in a Lac Operon Model Under Different Update Schedules. ALIFE 2014: 689-690 - [c6]Gonzalo A. Ruz, Eric Goles Ch.:
Neutral graph of regulatory Boolean networks using evolutionary computation. CIBCB 2014: 1-8 - 2013
- [j5]Gonzalo A. Ruz, Samuel Varas, Marcelo J. Villena:
Policy making for broadband adoption and usage in Chile through machine learning. Expert Syst. Appl. 40(17): 6728-6734 (2013) - [j4]Gonzalo A. Ruz, Eric Goles Ch.:
Learning gene regulatory networks using the bees algorithm. Neural Comput. Appl. 22(1): 63-70 (2013) - [c5]Gonzalo A. Ruz, Marco Montalva, Eric Goles Chacc:
On the preservation of limit cycles in Boolean networks under different updating schemes. ECAL 2013: 1085-1090 - 2012
- [j3]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): 9939-9945 (2012) - [j2]Gonzalo A. Ruz, Duc Truong Pham:
NBSOM: The naive Bayes self-organizing map. Neural Comput. Appl. 21(6): 1319-1330 (2012) - [c4]Gonzalo A. Ruz, Eric Goles Ch.:
Reconstruction and update robustness of the mammalian cell cycle network. CIBCB 2012: 397-403 - [c3]Gonzalo A. Ruz, Tania Timmermann, Eric Goles Ch.:
Building Synthetic Networks of the Budding Yeast Cell-Cycle Using Swarm Intelligence. ICMLA (1) 2012: 120-125 - 2010
- [c2]Gonzalo A. Ruz, Eric Goles Ch.:
Learning Gene Regulatory Networks with Predefined Attractors for Sequential Updating Schemes Using Simulated Annealing. ICMLA 2010: 889-894
2000 – 2009
- 2009
- [j1]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): 163-172 (2009) - 2006
- [c1]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: 224-231
Coauthor Index
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