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A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images

Applied sciences, 2024-04, Vol.14 (7), p.2785

2024

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Generalized smart evolving fuzzy systems

Evolving systems, 2015-12, Vol.6 (4), p.269-292

2015

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Prediction of long-term creep modulus of thermoplastics using brief tests and interpretable machine learning

International journal of solids and structures, 2024-11, Vol.304, p.113014, Article 113014

2024

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Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation

Analytica chimica acta, 2018-07, Vol.1013, p.1-12

2018

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Validation and calibration of machine‐learning predictive models aimed to identify dementia‐related neuropsychiatric symptoms on real‐world data (RWD): Neuropsychiatry and behavioral neurology/assessment/measurement of neuropsychiatric/behavioral and psychological symptoms

Alzheimer's & dementia, 2020-12, Vol.16 (S6)

2020

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Validation and calibration of machine‐learning predictive models aimed to identify dementia‐related neuropsychiatric symptoms on real‐world data (RWD)

Alzheimer's & dementia, 2020-12, Vol.16, p.n/a

2020

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Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data

Journal of Alzheimer's disease, 2020-01, Vol.77 (2), p.855-864

2020

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Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020, p.1-8

2020

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Improved quantification of important beer quality parameters based on nonlinear calibration methods applied to FT-MIR spectra

Analytical and bioanalytical chemistry, 2017, Vol.409 (3), p.841-857

2017

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Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020, Vol.1, p.518-525

2020

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Incremental and decremental active learning for optimized self-adaptive calibration in viscose production

Chemometrics and intelligent laboratory systems, 2014-11, Vol.138, p.14-29

2014

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Enhanced genetic operators design for waveband selection in multivariate calibration based on NIR spectroscopy

Journal of chemometrics, 2014-02, Vol.28 (2), p.123-136

2014

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Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data

Revista de psiquiatria y salud mental (English ed.), 2022-07, Vol.15 (3), p.167-175

2022

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NIR-based quantification of process parameters in polyetheracrylat (PEA) production using flexible non-linear fuzzy systems

Chemometrics and intelligent laboratory systems, 2011-11, Vol.109 (1), p.22-33

2011

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Critical Analysis of the Suitability of Surrogate Models for Finite Element Method Application in Catalog-Based Suspension Bushing Design

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020, Vol.1, p.829-836

2020

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Hybrid adaptive calibration methods and ensemble strategy for prediction of cloud point in melamine resin production

Chemometrics and intelligent laboratory systems, 2013-07, Vol.126, p.60-75

2013

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Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data

Revista de psiquiatria y salud mental (English ed.), 2022-07, Vol.15 (3), p.167-175

2022

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Towards Robust Defect Detection in Casting Using Contrastive Learning

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023, Vol.14469, p.605-616

2023

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Evolving chemometric models for predicting dynamic process parameters in viscose production

Analytica chimica acta, 2012-05, Vol.725, p.22-38

2012

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On the Relevance of Preprocessing in Predictive Maintenance for Dynamic Systems

Predictive Maintenance in Dynamic Systems, 2019, p.53-93

2019

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Identificación y valoración neuropsicológica del riesgo perinatal: instrumentos

Revista colombiana de obstetricia y ginecología, 2008-12, Vol.59 (4), p.316-326

2008

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An Industrial HMI Temporal Adaptation based on Operator-Machine Interaction Sequence Similarity

2021 22nd IEEE International Conference on Industrial Technology (ICIT), 2021, Vol.1, p.1021-1026

2021

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An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance

2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021, p.1213-1219

2021

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Curso y pronóstico del trastorno autista

Pensamiento psicológico, 2007-01, Vol.3 (8), p.19

2007

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Identificacion y valoracion neuropsicologica del riesgo perinatal: intumentos

Revista colombiana de obstetricia y ginecología, 2008-10, Vol.59 (4), p.317

2008

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A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images

Generalized smart evolving fuzzy systems

Prediction of long-term creep modulus of thermoplastics using brief tests and interpretable machine learning

Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation

Validation and calibration of machine‐learning predictive models aimed to identify dementia‐related neuropsychiatric symptoms on real‐world data (RWD): Neuropsychiatry and behavioral neurology/assessment/measurement of neuropsychiatric/behavioral and psychological symptoms

Validation and calibration of machine‐learning predictive models aimed to identify dementia‐related neuropsychiatric symptoms on real‐world data (RWD)

Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data

Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery

Improved quantification of important beer quality parameters based on nonlinear calibration methods applied to FT-MIR spectra

Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization

Incremental and decremental active learning for optimized self-adaptive calibration in viscose production

Enhanced genetic operators design for waveband selection in multivariate calibration based on NIR spectroscopy

Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data

NIR-based quantification of process parameters in polyetheracrylat (PEA) production using flexible non-linear fuzzy systems

Critical Analysis of the Suitability of Surrogate Models for Finite Element Method Application in Catalog-Based Suspension Bushing Design

Hybrid adaptive calibration methods and ensemble strategy for prediction of cloud point in melamine resin production

Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data

Towards Robust Defect Detection in Casting Using Contrastive Learning

Evolving chemometric models for predicting dynamic process parameters in viscose production

On the Relevance of Preprocessing in Predictive Maintenance for Dynamic Systems

Identificación y valoración neuropsicológica del riesgo perinatal: instrumentos

An Industrial HMI Temporal Adaptation based on Operator-Machine Interaction Sequence Similarity

An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance

Curso y pronóstico del trastorno autista

Identificacion y valoracion neuropsicologica del riesgo perinatal: intumentos

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