• Additional feature layers from ordered aggregations for deep neural networks 

      Domínguez Catena, Iris Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Galar Idoate, Mikel Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In the last years we have seen huge advancements in the area of Machine Learning, specially with the use of Deep Neural Networks. One of the most relevant examples is in image classification, where convolutional neural ...
    • An empirical study on supervised and unsupervised fuzzy measure construction methods in highly imbalanced classification 

      Uriz Martín, Mikel Xabier Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Bustince Sola, Humberto Upna Orcid; Galar Idoate, Mikel Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The design of an ensemble of classifiers involves the definition of an aggregation mechanism that produces a single response obtained from the information provided by the classifiers. A specific aggregation methodology ...
    • Gender stereotyping impact in facial expression recognition 

      Domínguez Catena, Iris Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Galar Idoate, Mikel Upna Orcid (Springer, 2023)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Facial Expression Recognition (FER) uses images of faces to identify the emotional state of users, allowing for a closer interaction between humans and autonomous systems. Unfortunately, as the images naturally integrate ...
    • Learning channel-wise ordered aggregations in deep neural networks 

      Domínguez Catena, Iris Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Galar Idoate, Mikel Upna Orcid (Springer, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      One of the most common techniques for approaching image classification problems are Deep Neural Networks. These systems are capable of classifying images with different levels of detail at different levels of detail, with ...
    • On the influence of admissible orders in IVOVO 

      Uriz Martín, Mikel Xabier Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Bustince Sola, Humberto Upna Orcid; Galar Idoate, Mikel Upna Orcid (Springer, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for ...
    • On the influence of interval normalization in IVOVO fuzzy multi-class classifier 

      Uriz Martín, Mikel Xabier Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Bustince Sola, Humberto Upna Orcid; Galar Idoate, Mikel Upna Orcid (Springer, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      IVOVO stands for Inverval-Valued One-Vs-One and is the combination of IVTURS fuzzy classifier and the One-Vs-One strategy. This method is designed to improve the performance of IVTURS in multi-class problems, by dividing ...

      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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