Publicaciones (23) Publicaciones de Carlos Cernuda García

2024

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

    Applied Sciences, Vol. 14, Núm. 7, pp. 2785

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

    International Journal of Solids and Structures, Vol. 304

  3. Towards Robust Defect Detection in Casting Using Contrastive Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

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

    Revista de Psiquiatria y Salud Mental, Vol. 15, Núm. 3, pp. 167-175

2021

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

    Proceedings of the IEEE International Conference on Industrial Technology

  2. An adaptive industrial human-machine interface to optimise operators working performance

    IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

  3. Generalized SMOTE: A universal generation oversampling technique for all data types in imbalanced learning

    XIX Conferencia de la Asociación Española para la Inteligencia Artificial CAEPIA 2021. 22-24, septiembre, 2021. Málaga

2020

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

    IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

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

    IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

  3. Interpreting remaining useful life estimations combining explainable artificial intelligence and domain knowledge in industrial machinery

    IEEE International Conference on Fuzzy Systems

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

    Journal of Alzheimer's Disease, Vol. 77, Núm. 2, pp. 855-864

2019

  1. On the relevance of preprocessing in predictive maintenance for dynamic systems

    Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications (Springer International Publishing), pp. 53-92

2018

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

    Analytica Chimica Acta, Vol. 1013, pp. 1-12

2017

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

    Analytical and Bioanalytical Chemistry, Vol. 409, Núm. 3, pp. 841-857

2015

  1. Generalized smart evolving fuzzy systems

    Evolving Systems, Vol. 6, Núm. 4, pp. 269-292

2014

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

    Journal of Chemometrics, Vol. 28, Núm. 2, pp. 123-136

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

    Chemometrics and Intelligent Laboratory Systems, Vol. 138, pp. 14-29

2013

  1. Ensembled self-adaptive fuzzy calibration models for on-line cloud point prediction

    8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research

  2. Generalized flexible fuzzy inference systems

    Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013

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

    Chemometrics and Intelligent Laboratory Systems, Vol. 126, pp. 60-75