Listar DIAN-Artículos, capítulos... por autor "Pérez-Ortiz, María"

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    • A Review of Classification Problems and Algorithms in Renewable Energy Applications 

      Pérez-Ortiz, María; Jiménez-Fernández, Silvia; Gutiérrez, Pedro A.; Alexandre, Enrique; Salcedo Sanz, S.; Hervás-Martínez, César (MDPI, 2016)
      Classification problems and their corresponding solving approaches constitute one of the fields of machine learning. The application of classification schemes in Renewable Energy (RE) has gained significant attention in ...

    • Borderline kernel based over-sampling 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Hervás-Martínez, César (2017-03-30)
      Nowadays, the imbalanced nature of some real-world data is receiving a lot of attention from the pattern recognition and machine learning communities in both theoretical and practical aspects, giving rise to di erent ...

    • Ordinal regression methods: survey and experimental study 

      Gutiérrez, Pedro A.; Pérez-Ortiz, María; Sánchez-Monedero, J.; Fernández-Navarro, Francisco; Hervás-Martínez, César (2017-02-03)
      Abstract—Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a categorical scale which shows a natural order between the labels. Many real-world applications ...

    • Projection based ensemble learning for ordinal regression 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Hervás-Martínez, César (2013-10-08)
      The classification of patterns into naturally ordered labels is referred to as ordinal regression. This paper proposes an ensemble methodology specifically adapted to this type of problems, which is based on computing ...

    • Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Torres-Sánchez, Jorge; Hervás-Martínez, César; López-Granados, Francisca; Peña, José Manuel (2017-03-30)
      This paper approaches the problem of weed mapping for precision agriculture, using imagery provided by Unmanned Aerial Vehicles (UAVs) from sun ower and maize crops. Precision agriculture referred to weed control is ...