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Modelo de asignación donante-receptor español en transplantes hepáticos
(Consejo Social de la Universidad de Córdoba, 2011)
El reto que presentan los autores del proyecto se centra en encontrar un modelo español de asignación donante-receptor en trasplantes de hígado que sea válido a un número de pares donantes-receptores. El método que proponen ...
Ordinal and nominal classication of wind speed from synoptic pressure patterns
(2017-01-18)
Wind speed reconstruction is a challenging problem in areas (mainly wind
farms) where there are not direct wind measures available. Di erent approaches
have been applied to this reconstruction, such as measure-correlat ...
Ordinal regression methods: survey and experimental study
(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 ...
Cooperative coevolution of artificial neural network ensembles for pattern classification
(IEEE, 2005)
This paper presents a cooperative coevolutive approach for designing neural network ensembles. Cooperative coevolution is a recent paradigm in evolutionary computation that allows the effective modeling of cooperative ...
Exploitation of Pairwise Class Distances for Ordinal Classification
(2013-07-15)
Ordinal classification refers to classification problems in which the classes have a natural
order imposed on them because of the nature of the concept studied. Some ordinal
classification approaches perform a projection ...
Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery
(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 ...
Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients
(2017-02-17)
In liver transplantation, matching donor and recipient is a
problem that can be solved using machine learning techniques.
In this paper we consider a liver transplant dataset
obtained from eleven Spanish hospitals, ...
Borderline kernel based over-sampling
(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 ...
Algoritmos de aprendizaje evolutivo y estadístico para la determinación de mapas de malas hierbas utilizando técnicas de teledetección
(2013-10-08)
Este trabajo aborda la resolución de problemas de
clasificación binaria utilizando una metodología
híbrida que combina la regresión logística y
modelos evolutivos de redes neuronales de
unidades producto. Para estimar ...
Projection based ensemble learning for ordinal regression
(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 ...