Carlos Cernuda - Concepedia

Author

Carlos Cernuda

Johannes Kepler University of Linz ORCID

Also Known As

Carlos Cernuda, Carlos José Cajal Cernuda

Publications

474

Citations

H-Index

Concepts

All Affiliations

Johannes Kepler University of Linz Research Center for Non Destructive Testing (Austria)Mondragon Unibertsitatea University of Salzburg Basque Government

About

Carlos Cernuda is an author at Johannes Kepler University of Linz specializing in engineering, systems engineering, and process control.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	357
2	Biostatistics	3	3	58
3	Computer Science	2	2	174
4	Medicine	1	1	19
5	Civil Engineering	1	1	20

Carlos Cernuda

Publications

414

Citations

H-Index

Page 1

	Year	Citations
Generalized smart evolving fuzzy systems Edwin Lughofer, Carlos Cernuda, Stefan Kindermann, Evolving Systems Fuzzy LogicFuzzy SystemsEngineeringFuzzy ComputingFuzzy Modeling	2015	160
Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery Oscar Serradilla, Ekhi Zugasti, Carlos Cernuda, Artificial IntelligenceUseful Life EstimationsMachine LearningEngineeringIndustrial Engineering	2020	45
Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data Javier Mar, Ania Gorostiza, Oliver Ibarrondo, Journal of Alzheimer s Disease	2020	35
Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation Ramin Nikzad‐Langerodi, Edwin Lughofer, Carlos Cernuda, Analytica Chimica Acta Melamine Resin ProductionEngineeringCalibrationUncertainty QuantificationModel Maintenance	2018	31
NIR-based quantification of process parameters in polyetheracrylat (PEA) production using flexible non-linear fuzzy systems Carlos Cernuda, Edwin Lughofer, Wolfgang Märzinger, Chemometrics and Intelligent Laboratory Systems Process DesignNir-based QuantificationFuzzy LogicFuzzy SystemsEngineering	2011	27
Incremental and decremental active learning for optimized self-adaptive calibration in viscose production Carlos Cernuda, Edwin Lughofer, Georg J. Mayr, Chemometrics and Intelligent Laboratory Systems Model OptimizationOptimized Self-adaptive CalibrationEngineeringMachine LearningIndustrial Engineering	2014	25
Hybrid adaptive calibration methods and ensemble strategy for prediction of cloud point in melamine resin production Carlos Cernuda, Edwin Lughofer, Peter Hintenaus, Chemometrics and Intelligent Laboratory Systems Melamine Resin ProductionEngineeringRobust ModelingIndustrial EngineeringUncertainty Quantification	2013	20
Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data Javier Mar, Ania Gorostiza, Arantzazu Arrospide, Revista de Psiquiatría y Salud Mental Alzheimer's DiseaseMachine LearningData ScienceGeriatricsPsychiatry	2021	19
Evolving chemometric models for predicting dynamic process parameters in viscose production Carlos Cernuda, Edwin Lughofer, Lisbeth Suppan, Analytica Chimica Acta Process DesignEngineeringViscose ProductionProcess DevelopmentProcess Control	2012	16
Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization Daniel Reguera-Bakhache, Iñaki Garitano, Roberto Uribeetxeberria, Artificial IntelligenceEngineeringMachine LearningIndustrial EngineeringIntelligent Systems	2020	14

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