Yenny Villuendas Rey
Visiting Research ScientistCards
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Research
Publications
2026
Correction: Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review
Kanaparthy N, Villuendas-Rey Y, Bakare T, Diao Z, Iscoe M, Loza A, Wright D, Safranek C, Faustino I, Brackett A, Melnick E, Taylor R. Correction: Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review. JMIR AI 2026, 5: e93250. PMID: 41824620, PMCID: PMC12986773, DOI: 10.2196/93250.Peer-Reviewed Original ResearchAlgorithmic Challenges and Regulatory Frameworks of Artificial Intelligence in Mexico: A Prospective Analysis from the Perspective of Digital Governance Theory
Arguijo E, Villuendas-Rey Y, Cruz-Jiménez A, Mireles-Hernández J, Camacho-Nieto O, Aldape-Pérez M. Algorithmic Challenges and Regulatory Frameworks of Artificial Intelligence in Mexico: A Prospective Analysis from the Perspective of Digital Governance Theory. Computers 2026, 15: 150. DOI: 10.3390/computers15030150.Peer-Reviewed Original ResearchRegulatory frameworkAI regulationData protection lawAI-related risksFramework of artificial intelligenceProtection lawIntellectual propertyLegislative bodiesRegulatory deficienciesTechnical provisionsAlgorithmic transparencyGovernance theoryPolicy areasLegislationGovernment readinessAI systemsArtificial intelligenceSocietal consequencesEthical designIntegration of artificial intelligenceAccounting frameworkRegulationJusticeLawCommissionNetwork-based data complexity measures for multiclass classification of hybrid data and its correlation with supervised classifiers
Camacho-Urriolagoitia F, Villuendas-Rey Y, Yáñez-Márquez C, Camacho-Nieto O. Network-based data complexity measures for multiclass classification of hybrid data and its correlation with supervised classifiers. Intelligent Data Analysis 2026 DOI: 10.1177/1088467x261421339.Peer-Reviewed Original ResearchData complexity measuresMulticlass classificationSupervised classifiersComplexity measuresData analysis tasksNearest neighborsNetwork-based onesUser-defined thresholdsMulticlass dataAnalysis tasksData complexityData spaceDissimilarity functionData structuresMachine learningClassifierDataComputerData analysisMachineTaskLearningNeighboringPlatformPractical toolAn Explainable Artificial Immune System (XAIS) for Classification in Biomedical Classification Tasks
Delena-García P, Villuendas-Rey Y, Mora-Guerrero L, Alarcón-Paredes A. An Explainable Artificial Immune System (XAIS) for Classification in Biomedical Classification Tasks. International Journal Of Combinatorial Optimization Problems And Informatics 2026, 17: 391-404. DOI: 10.61467/2007.1558.2026.v17i2.1278.Peer-Reviewed Original ResearchArtificial immune systemBiomedical datasetsBiomedical classification tasksCompetitive predictive performanceDecision-support systemMachine-learning classifiersClassification taskEffective classificationClassification modelMachine-learning modelsXAIFeature structuresTrustworthy foundationDiscriminative patternsMissing valuesExplainabilityPredictive performanceCross-validationDatasetClassificationClassifierUsersPerformanceSystemDecisionMinimalist Machine Learning: Classifying Patterns with a Single Attribute
Rodríguez N, Villuendas-Rey Y, Márquez C, Alarcón-Paredes A. Minimalist Machine Learning: Classifying Patterns with a Single Attribute. Journal Of Advanced Computational Intelligence And Intelligent Informatics 2026, 30: 258-266. DOI: 10.20965/jaciii.2026.p0258.Peer-Reviewed Original ResearchState-of-the-art machine learning algorithmsState-of-the-artMachine learning algorithmsTraining instancesWhite-box modelF1 scoreLearning algorithmsFriedman rankMachine learningDecision treePerformance metricsBonferroni-Dunn testOccam's razorCross-validationInterpretable modelsDatasetValidation methodBonferroni-DunnComplex modelsSVMScalabilityMetaheuristicsFeaturesPerformanceParadigm
2025
Minimalist Machine Learning with Metaheuristic Optimization for Explainable Spam Filtering
Pacheco-Senard J, Moreno-Espino M, Yáñez-Márquez C, Villuendas-Rey Y, Camacho-Nieto O. Minimalist Machine Learning with Metaheuristic Optimization for Explainable Spam Filtering. Computación Y Sistemas 2025, 29 DOI: 10.13053/cys-29-4-6096.Peer-Reviewed Original ResearchMachine Learning for Identifying Autism Traits
Tusell-Rey C, Meléndez-Zamudio R, Yáñez-Márquez C, Camacho-Nieto O, Rey Y. Machine Learning for Identifying Autism Traits. 2025, 00: 1-6. DOI: 10.1109/la-cci66231.2025.11270435.Peer-Reviewed Original ResearchSupport vector machineMachine learning algorithmsF1-measureMLP classifierLearning algorithmsK-NNIntelligence algorithmsVector machineMachine learningBalanced accuracyAlgorithmClassifierMachineCross-validationPerformance measuresValidation methodComputational toolsC4.5PerformanceRipperLearningAccuracyAutism spectrum disorderImage classification of GMAW robotic weld bead images by MobileNetV2 neural network using Transfer Learning
Davila-Iniesta E, López-Islas J, Camacho-Nieto O, Rey Y. Image classification of GMAW robotic weld bead images by MobileNetV2 neural network using Transfer Learning. 2025, 00: 1-4. DOI: 10.1109/la-cci66231.2025.11270438.Peer-Reviewed Original ResearchTransfer learningImage classificationNeural networkAutomatic classificationMobileNetV2 convolutional neural networkData augmentation strategyConvolutional neural networkComplex network architecturesNetwork architectureBalanced datasetsAvailability of imagesTraining setAugmentation strategiesRobotic gas metal arc weldingGas metal arc weldingMetal arc weldingDatasetLearningNetworkArc weldingMetal partsImagesBead imagesMobileNetV2Mechanical variationsReal-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review
Kanaparthy N, Villuendas-Rey Y, Bakare T, Diao Z, Iscoe M, Loza A, Wright D, Safranek C, Faustino I, Brackett A, Melnick E, Taylor R. Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review. JMIR AI 2025, 4: e76743. PMID: 41071988, PMCID: PMC12513689, DOI: 10.2196/76743.Peer-Reviewed Original ResearchPredicting Vehicle Sales in Mexico: Leveraging Advanced Machine Learning Models
Hernández Cervantes R, Ortega Garasi J, Villuendas Rey Y. Predicting Vehicle Sales in Mexico: Leveraging Advanced Machine Learning Models. Communications In Computer And Information Science 2025, 2554: 17-26. DOI: 10.1007/978-3-031-97913-2_2.Peer-Reviewed Original ResearchVehicle salesAccurate sales predictionElectric vehiclesMarketing effortsPassenger trucksSupply chainTruck marketSales predictionData-informed strategiesDecision-making processMexican marketSalesMarketAutomotive industryVehicleHistorical dataIndustryMean square errorPassengerRoot mean square errorRobust modelSquare errorTruckAdvanced machine learning modelsStakeholders
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