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Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching?
(MDPI, 2022)
Liver transplantation outcomes have improved in recent years. However, with the emergence of expanded donor criteria, tools to better assist donor–recipient matching have become necessary. Most of the currently proposed ...
ML-k’sNN: Label Dependent k Values for Multi-Label k-Nearest Neighbor Rule
(MDPI, 2023)
Multi-label classification as a data mining task has recently attracted increasing interest from researchers. Many current data mining applications address problems with instances that belong to more than one category. ...
sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints
(MDPI, 2023)
Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving ...
Desarrollo y aplicación de nuevos modelos de aprendizaje automático para el estudio del cáncer colorrectal
(Universidad de Córdoba, UCOPress, 2023)
En la actualidad, en el ámbito sanitario, hay un interés creciente en la consideración de técnicas de Inteligencia Artificial, en concreto técnicas de Aprendizaje Automático o Machine Learning, que tan buenos resultados ...
Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle
(Universidad de Córdoba, UCOPress, 2016)
En este artículo, aplicamos técnicas de minería de datos para descubrir rutas de aprendizaje frecuentes. Hemos utilizado datos de 84 estudiantes universitarios, seguidos en un curso online usando Moodle 2.0. Proponemos ...
Unimodal regularisation based on beta distribution for deep ordinal regression
(Elsevier, 2022)
Currently, the use of deep learning for solving ordinal classification problems, where categories follow a natural order, has not received much attention. In this paper, we propose an unimodal regularisation based on the ...
Parallelization Strategies for Markerless Human Motion Capture
(2015-10-15)
Markerless Motion Capture (MMOCAP) is the
problem of determining the pose of a person from images
captured by one or several cameras simultaneously without
using markers on the subject. Evaluation of the solutions
is ...
Human interaction categorization by using audio-visual cues
(Springer Nature, 2013)
Human Interaction Recognition (HIR) in uncontrolled TV video material is a very challenging problem because of the huge intra-class variability of the classes (due to large differences in the way actions are performed, ...
Comparing Evolutionary Algorithms and Particle Filters for Markerless Human Motion Capture
(Elsevier, 2014)
Markerless Human Motion Capture is the problem of determining the joints’ angles of a three-dimensional articulated body model that best matches current and past observations acquired by video cameras. The problem of ...
Técnicas de clasificación para la predicción de tarifas aéreas
(Universidad de Córdoba, UCOPress, 2023)
Esta memoria de tesis se enfoca en los problemas multifactoriales a los que se enfrentan las aerolíneas comerciales como son la guerra de precios y la creación de una tabla dinámica de descuentos. Por un lado, dentro de ...