57 citations · 58 across the 3 of their papers we have counts for
5 papers
Cumulative link models for deep ordinal classification
Víctor-Manuel Vargas, Pedro-Antonio Gutiérrez, César Hervás-Martínez
This paper proposes a deep convolutional neural network model for ordinal regression by considering a family of probabilistic ordinal link functions in the output layer. The link f…
A mixture of experts model for predicting persistent weather patterns
Maria Perez-Ortiz, Pedro A. Gutierrez, Peter Tino +2
Weather and atmospheric patterns are often persistent. The simplest weather forecasting method is the so-called persistence model, which assumes that the future state of a system w…
Monotonic classification: an overview on algorithms, performance measures and data sets
José-Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk +2
Currently, knowledge discovery in databases is an essential step to identify valid, novel and useful patterns for decision making. There are many real-world scenarios, such as bank…
Time series clustering based on the characterisation of segment typologies
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez +2
Time series clustering is the process of grouping time series with respect to their similarity or characteristics. Previous approaches usually combine a specific distance measure f…
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala
M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez +1
Ordinal Data are those where a natural order exist between the labels. The classification and pre-processing of this type of data is attracting more and more interest in the area o…