• Interval-valued aggregation functions based on moderate deviations applied to motor-imagery-based brain computer interface 

      Fumanal Idocin, Javier Upna Orcid; Takáč, Zdenko; Fernández Fernández, Francisco Javier Upna Orcid; Sanz Delgado, José Antonio; Goyena Baroja, Harkaitz; Lin, Chin-Teng; Wang, Yu-Kai; Bustince Sola, Humberto Upna Orcid (IEEE, 2021)   Artículo / Artikulua  OpenAccess
      In this work we develop moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data to construct interval-valued aggregation functions, and we apply these functions in two ...
    • Logistic regression versus XGBoost for detecting burned areas using satellite images 

      Militino, Ana F. Upna Orcid; Goyena Baroja, Harkaitz; Pérez-Goya, Unai Upna Orcid; Ugarte Martínez, María Dolores Upna Orcid (Springer, 2024)   Artículo / Artikulua  OpenAccess
      Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ...
    • Unpaired spatio-temporal fusion of image patches (USTFIP) from cloud covered images 

      Goyena Baroja, Harkaitz; Pérez Goya, Unai Upna Orcid; Montesino San Martín, Manuel Upna Orcid; Militino, Ana F. Upna Orcid; Wang, Qunming; Atkinson, Peter M.; Ugarte Martínez, María Dolores Upna Orcid (Elsevier, 2023)   Artículo / Artikulua  OpenAccess
      Spatio-temporal image fusion aims to increase the frequency and resolution of multispectral satellite sensor images in a cost-effective manner. However, practical constraints on input data requirements and computational ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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