Carlos
Cernuda García
Universidad de Mondragón/Mondragon Unibertsitatea
Mondragón, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Mondragón/Mondragon Unibertsitatea (11)
2024
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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, Vol. 304
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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
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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, Vol. 15, Núm. 3, pp. 167-175
2021
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An Industrial HMI Temporal Adaptation based on Operator-Machine Interaction Sequence Similarity
Proceedings of the IEEE International Conference on Industrial Technology
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An adaptive industrial human-machine interface to optimise operators working performance
IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
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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
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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
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Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
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Interpreting remaining useful life estimations combining explainable artificial intelligence and domain knowledge in industrial machinery
IEEE International Conference on Fuzzy Systems
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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, Vol. 77, Núm. 2, pp. 855-864
2019
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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