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Energy and information in Hodgkin-Huxley neurons
(American Physical Society, 2011-03-21)
[EN]The generation of spikes by neurons is energetically a costly process and the evaluation of the metabolic energy required to maintain the signaling activity of neurons a challenge of practical interest. Neuron models ...
Data analysis advances in marine science for fisheries management : supervised classification application
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2011-05-06)
La gestión de pesquerías tiene un gran impacto a muchos niveles: biológico, económico, social y político con gran incertidumbre sobre las relaciones entre el clima, los peces y las decisiones de gestión. Esta tesis doctoral, ...
Learning Probability Distributions over Permutations by Means of Fourier Coefficients
(2011)
A large and increasing number of data mining domains consider data
that can be represented as permutations. Therefore, it is important to
devise new methods to learn predictive models over datasets of permutations.
However, ...
Approaching Sentiment Analysis by Using Semi-supervised Learning of Multidimensional Classifiers
(2011)
Sentiment Analysis is defined as the computational study of opinions, sentiments and emotions
expressed in text. Within this broad field, most of the work has been focused on either Sentiment
Polarity classification, ...
A review on Estimation of Distribution Algorithms in Permutation-based Combinatorial Optimization Problems
(2011)
Estimation of Distribution Algorithms (EDAs) are a set of algorithms
that belong to the field of Evolutionary Computation. Characterized by the use of
probabilistic models to represent the solutions and the dependencies ...
Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms
(2011)
Conducting research in order to know the range of problems in which a search
algorithm is effective constitutes a fundamental issue to understand the algorithm
and to continue the development of new techniques. In this ...
Advances towards behaviour-based indoor robotic exploration
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2011-09-05)
The main contributions of this research work remain in object recognition by computer vision, by one side, and in robot localisation and mapping by the other. The first contribution area of the research address object ...
A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images
(MDPI, 2011)
This paper presents a model-based approach for reconstructing 3D polyhedral building models from aerial images. The proposed approach exploits some geometric and photometric properties resulting from the perspective ...
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 ...
Modeling the Effector - Regulatory T Cell Cross-Regulation Reveals the Intrinsic Character of Relapses in Multiple Sclerosis
(Biomed Central, 2011-07-15)
Background: The relapsing-remitting dynamics is a hallmark of autoimmune diseases such as Multiple Sclerosis (MS). Although current understanding of both cellular and molecular mechanisms involved in the pathogenesis of ...