• Automatic detection of high-voltage power lines in LiDAR surveys using data mining techniques 

      Chasco Hernández, Daniel; Sanz Delgado, José Antonio Upna Orcid; García Morales, Víctor; Álvarez-Mozos, Jesús Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The correct classification of power lines in LiDAR point clouds has attracted the interest of the mapping community in the last years. The objective of this research is the detection and automatic extraction of high-voltage ...
    • Enhancing the efficiency of the interval-valued fuzzy rule-based classifier with tuning and rule selection 

      Sanz Delgado, José Antonio Upna Orcid; Asmus, Tiago Upna Orcid; Osa Hernández, Borja de la Upna; Bustince Sola, Humberto Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Interval-Valued fuzzy rule-based classifier with TUning and Rule Selection, IVTURS, is a state-of-the-art fuzzy classifier. One of the key point of this method is the usage of interval-valued restricted equivalence functions ...
    • A first study on the use of interval-valued fuzzy sets with genetic tuning for classification with imbalanced data sets 

      Sanz Delgado, José Antonio Upna Orcid; Fernández, Alberto; Bustince Sola, Humberto Upna Orcid; Herrera, Francisco (Springer, 2009)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Classification with imbalanced data-sets is one of the recent challenging problems in Data Mining. In this framework, the class dis- tribution is not uniform and the separability between the classes is often difficult. ...
    • General admissibly ordered interval-valued overlap functions 

      Asmus, Tiago Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; Wieczynski, Jonata; Lucca, Giancarlo; Bustince Sola, Humberto Upna Orcid (CEUR Workshop Proceedings (CEUR-WS.org), 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Overlap functions are a class of aggregation functions that measure the verlapping degree between two values. They have been successfully applied in several problems in which associativity is not required, such as ...
    • General grouping functions 

      Santos, Helida; Pereira Dimuro, Graçaliz Upna Orcid; Asmus, Tiago Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a ...
    • Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function 

      Hinojosa-Cardenas, Edward; Sarmiento-Calisaya, Edgar; Camargo, Heloisa A.; Sanz Delgado, José Antonio Upna Orcid (CEUR Workshop Proceedings (CEUR-WS.org), 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This paper presents a modification of a Michigan-style fuzzy rule based classifier by applying the Choquet-like Copula-based aggregation function, which is based on the minimum t-norm and satisfies all the conditions ...

      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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