Listar DIAN-Artículos, capítulos... por autor "342fdf73-f8fa-4cbf-90de-7830e923bf7d"

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    • A general framework for boosting feature subset selection algorithms 

      Pérez Rodríguez, Javier; Haro García, Aída de; Romero-del-Castillo, Juan A.; García Pedrajas, Nicolás (Elsevier, 2018)
      Feature selection is one of the most important tasks in many machine learning and data mining problems. Due to the increasing size of the problems, removing useless, erroneous or noisy features is frequently an initial ...

    • Higher education institutions to promote a lifelong learning strategy 

      Romero-del-Castillo, Juan A.; Haro García, Aída de; Ortiz-Boyer, Domingo (IATED, 2019)
      In today’s society students and graduates are demanded to be equipped with two fundamental attitudes. The first is being active learners enrolled in all different activities related to Active Learning that have place at ...

    • PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification 

      García Pedrajas, Nicolás; Cuevas-Muñoz, José Manuel; Romero-del-Castillo, Juan A.; Haro García, Aída de (Elsevier, 2023)
      Multi-label classification has recently attracted research interest as a data mining task. Many current applications in data mining address problems that have instances belonging to more than one class. This requires the ...