| Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review A Alberdi, A Aztiria, A Basarab Journal of biomedical informatics 59, 49-75, 2016 | 574 | 2016 |
| On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey A Alberdi, A Aztiria, A Basarab Artificial intelligence in medicine 71, 1-29, 2016 | 257 | 2016 |
| Synthetic data generation for tabular health records: A systematic review M Hernandez, G Epelde, A Alberdi, R Cilla, D Rankin Neurocomputing 493, 28-45, 2022 | 242 | 2022 |
| Smart home-based prediction of multidomain symptoms related to Alzheimer's disease A Alberdi, A Weakley, M Schmitter-Edgecombe, DJ Cook, A Aztiria, ... IEEE journal of biomedical and health informatics 22 (6), 1720-1731, 2018 | 173 | 2018 |
| Automatic assessment of functional health decline in older adults based on smart home data AA Aramendi, A Weakley, AA Goenaga, M Schmitter-Edgecombe, ... Journal of biomedical informatics 81, 119-130, 2018 | 113 | 2018 |
| Using smart offices to predict occupational stress A Alberdi, A Aztiria, A Basarab, DJ Cook International Journal of Industrial Ergonomics 67, 13-26, 2018 | 59 | 2018 |
| Synthetic tabular data evaluation in the health domain covering resemblance, utility, and privacy dimensions M Hernadez, G Epelde, A Alberdi, R Cilla, D Rankin Methods of information in medicine 62 (S 01), e19-e38, 2023 | 57 | 2023 |
| Incorporation of synthetic data generation techniques within a controlled data processing workflow in the health and wellbeing domain M Hernandez, G Epelde, A Beristain, R Álvarez, C Molina, X Larrea, ... Electronics 11 (5), 812, 2022 | 30 | 2022 |
| 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 | 26 | 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 | 23 | 2022 |
| Standardised metrics and methods for synthetic tabular data evaluation M Hernandez, G Epelde, A Alberdi, R Cilla, D Rankin Preprint at https://doi. org/10.36227/techrxiv 16610896, v1, 2021 | 10 | 2021 |
| Synthetic subject generation with coupled coherent time series data X Larrea, M Hernandez, G Epelde, A Beristain, C Molina, A Alberdi, ... Engineering Proceedings 18 (1), 7, 2022 | 9 | 2022 |
| Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis I Isasa, M Hernandez, G Epelde, F Londoño, A Beristain, X Larrea, ... BMC Medical Informatics and Decision Making 24 (1), 27, 2024 | 7 | 2024 |
| Spatial characterization of the effect of age and sex on macular layer thicknesses and foveal pit morphology D Romero-Bascones, U Ayala, A Alberdi, A Erramuzpe, M Galdós, ... PLoS One 17 (12), e0278925, 2022 | 6 | 2022 |
| Effect of incorporating metadata to the generation of synthetic time series in a healthcare context I Isasa, M Hernandez, G Epelde, F Londoño, A Beristain, A Alberdi, ... 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | 5 | 2023 |
| Testing architecture with variability management in embedded distributed systems A Arrieta, I Agirre, A Alberdi Actas de las IV Jornadas de Computación Empotrada (JCE) 17, 20, 2013 | 5 | 2013 |
| Comparative Evaluation of Oversampling Techniques for Balancing Metabolic Profiles M Hernandez, G Epelde, R Gil-Redondo, N Embade, A Alberdi, I Macia, ... Proceedings of the 9th International Conference on Bioinformatics Research …, 2022 | 1 | 2022 |
| Aging effects on resting state networks after an emotional memory task. ESJ Garazi Artola Balda, Ane Errarte, Erik Isusquiza, Maitane Barrenechea ... Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB …, 2018 | 1* | 2018 |
| Deep learning applied to retinal OCT images to differentiate Parkinson's disease patients from healthy controls M Barrenechea, D Romero-Bascones, A Murueta-Goyena, ... MOVEMENT DISORDERS 37, S63-S63, 2022 | | 2022 |
| Synthetic Subject Generation with Coupled Coherent Time Series Data. Eng. Proc. 2022, 18, 7 X Larrea, M Hernandez, G Epelde, A Beristain, C Molina, A Alberdi, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
