| Generalized smart evolving fuzzy systems E Lughofer, C Cernuda, S Kindermann, M Pratama Evolving systems 6 (4), 269-292, 2015 | 175 | 2015 |
| NIR-based quantification of process parameters in polyetheracrylat (PEA) production using flexible non-linear fuzzy systems C Cernuda, E Lughofer, W Märzinger, J Kasberger Chemometrics and Intelligent Laboratory Systems 109 (1), 22-33, 2011 | 40 | 2011 |
| Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery O Serradilla, E Zugasti, C Cernuda, A Aranburu, JR de Okariz, U Zurutuza 2020 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2020 | 36 | 2020 |
| Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation R Nikzad-Langerodi, E Lughofer, C Cernuda, T Reischer, W Kantner, ... Analytica chimica acta 1013, 1-12, 2018 | 30 | 2018 |
| Evolving chemometric models for predicting dynamic process parameters in viscose production C Cernuda, E Lughofer, L Suppan, T Röder, R Schmuck, P Hintenaus, ... Analytica chimica acta 725, 22-38, 2012 | 24 | 2012 |
| Incremental and decremental active learning for optimized self-adaptive calibration in viscose production C Cernuda, E Lughofer, G Mayr, T Röder, P Hintenaus, W Märzinger, ... Chemometrics and Intelligent Laboratory Systems 138, 14-29, 2014 | 23 | 2014 |
| Hybrid adaptive calibration methods and ensemble strategy for prediction of cloud point in melamine resin production C Cernuda, E Lughofer, P Hintenaus, W Märzinger, T Reischer, ... Chemometrics and Intelligent Laboratory Systems 126, 60-75, 2013 | 21 | 2013 |
| On the relevance of preprocessing in predictive maintenance for dynamic systems C Cernuda Predictive maintenance in dynamic systems: Advanced methods, decision …, 2019 | 18 | 2019 |
| Validation of random forest machine learning models to predict dementia-related neuropsychiatric symptoms in real-world data J Mar, A Gorostiza, O Ibarrondo, C Cernuda, A Arrospide, Á Iruin, ... Journal of Alzheimer's Disease 77 (2), 855-864, 2020 | 17 | 2020 |
| Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data J Mar, A Gorostiza, A Arrospide, I Larrañaga, A Alberdi, C Cernuda, ... Revista de Psiquiatría y Salud Mental (English Edition) 15 (3), 167-175, 2022 | 16 | 2022 |
| Improved quantification of important beer quality parameters based on nonlinear calibration methods applied to FT-MIR spectra C Cernuda, E Lughofer, H Klein, C Forster, M Pawliczek, M Brandstetter Analytical and Bioanalytical Chemistry 409, 841-857, 2017 | 14 | 2017 |
| Data-driven industrial human-machine interface temporal adaptation for process optimization D Reguera-Bakhache, I Garitano, R Uribeetxeberria, C Cernuda, ... 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 13 | 2020 |
| Generalized flexible fuzzy inference systems E Lughofer, C Cernuda, M Pratama 2013 12th International Conference on Machine Learning and Applications 2, 1-7, 2013 | 7 | 2013 |
| Enhanced waveband selection in NIR spectra using enhanced genetic operators C Cernuda, E Lughofer, P Hintenaus, W Märzinger J Chemometr 28 (3), 123-136, 2014 | 6 | 2014 |
| An adaptive industrial human-machine interface to optimise operators working performance D Reguera-Bakhache, I Garitano, C Cernuda, R Uribeetxeberria, ... 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2021 | 5 | 2021 |
| Critical analysis of the suitability of surrogate models for finite element method application in catalog-based suspension bushing design C Cernuda, I Llavori, AC Zăvoianu, A Aguirre, A Zabala, J Plaza 2020 25th IEEE international conference on emerging technologies and factory …, 2020 | 4 | 2020 |
| An industrial hmi temporal adaptation based on operator-machine interaction sequence similarity D Reguera-Bakhache, I Garitano, R Uribeetxeberria, C Cernuda 2021 22nd IEEE International Conference on Industrial Technology (ICIT) 1 …, 2021 | 3 | 2021 |
| Enhanced genetic operators design for waveband selection in multivariate calibration based on NIR spectroscopy C Cernuda, E Lughofer, P Hintenaus, W Märzinger Journal of Chemometrics 28 (2), 123-136, 2014 | 3 | 2014 |
| Self-adaptive non-linear methods for improved multivariate calibration in chemical processes C Cernuda, E Lughofer, T Röder, W Märzinger, T Reischer, M Pawliczek, ... Lenzing. Ber. 92, 12-32, 2015 | 1 | 2015 |
| Decremental active learning for optimized self-adaptive calibration in viscose production C Cernuda, E Lughofer, G Mayr, T Roeder, P Hintenaus, W Maerzinger 13th Scandinavian Symposium in Chemometrics, Stockholm, 2013 | 1 | 2013 |
