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Supervised and unsupervised investigation of the temporal dynamics of normal and pathological behaviour in the mouse and rat
(2017-09-22)
Modern neuroscience highlights the need for designing sophisticated behavioral readout of internal cognitive states. From a thorough analysis of classical behavioral test, my results supports the hypothesis that sensory ...
Graph-based Semi-supervised Learning: Algorithms and Applications.
(2017-05-24)
Graph-based semi-supervised learning have attracted large numbers of researchers and it is an important part of semi-supervised learning. Graph construction and semi-supervised embedding are two main steps in graph-based ...
Variable selection for data aggregated from different sources with group of variable structure
(2019-11-14)
During the last decades, the amount of available genetic data on populations has grown drastically. From one side, a refinement of chemical technologies have made possible the extraction of the human genome of individuals ...
Cloud point labelling in optical motion capture systems
(2019-02-15)
This Thesis deals with the task of point labeling involved in the overall workflow of Optical Motion Capture Systems. Human motion capture by optical sensors produces at each frame snapshots of the motion as a cloud of ...
Quadrotor team modeling and control for DLO transportation
(2016-06-24)
Esta Tesis realiza una propuesta de un modelado dinámico para el transporte de sólidos lineales deformables (SLD) mediante un equipo de cuadricópteros. En este modelo intervienen tres factores: - Modelado dinámico del ...
Computational intelligent methods for trusting in social networks
(2016-02-26)
This Thesis covers three research lines of Social Networks. The first proposed reseach line is related with Trust. Different ways of feature extraction are proposed for Trust Prediction comparing results with classic ...
Contributions to Ensemble Classifiers with Image Analysis Applications
(2015-12-18)
Ésta tesis tiene dos aspectos fundamentales, por un lado, la propuesta denuevas arquitecturas de clasificadores y, por otro, su aplicación a el análisis deimagen.Desde el punto de vista de proponer nuevas arquitecturas de ...
Contributions to the analysis and segmentation of remote sensing hyperspectral images
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2011-06-13)
This PhD Thesis deals with the segmentation of hyperspectral images from the point of view of Lattice Computing. We have introduced the application of Associative Morphological Memories as a tool to detect strong lattice ...
Detecting, counting and sizing bluefin tuna schools using medium range sonars of baitboats in the Bay of Biscay.
(2017-07-17)
This study presents a methodology for the automated analysis of commercial medium-range sonar signals for detecting, counting and sizing bluefin tuna (Tunnus thynnus) schools at the Bay of Biscay. Data can be recorded from ...
K-means for massive data
(2019-04-30)
The K-means algorithm is undoubtedly one of the most popular clustering analysis techniques, due to its easiness in the implementation, straightforward parallelizability and competitive computational complexity, when ...