Now showing items 1-10 of 47
Feature Selection for Speech Emotion Recognition in Spanish and Basque: On the Use of Machine Learning to Improve Human-Computer Interaction
(Public Library Science, 2014-10-03)
Study of emotions in human-computer interaction is a growing research area. This paper shows an attempt to select the most significant features for emotion recognition in spoken Basque and Spanish Languages using different ...
Data Preprocessing and Model Design for Medicine Problems
(Hindawi Publishing Corporation, 2013)
Metabolic efficiency with fast spiking in the squid axon
Fundamentally, action potentials in the squid axon are consequence of the entrance of sodium ions during the depolarization of the rising phase of the spike mediated by the outflow of potassium ions during the hyperpolarization ...
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 ...
Classification of neocortical interneurons using affinity propagation
(Frontiers Reseach Foundation, 2013-12)
In spite of over a century of research on cortical circuits, it is still unknown how many classes of cortical neurons exist. Neuronal classification has been a difficult problem because it is unclear what a neuronal cell ...
Efficient implementation of symplectic implicit Runge-Kutta schemes with simplified Newton iterations
We are concerned with the efficient implementation of symplectic implicit Runge-Kutta (IRK) methods applied to systems of (non-necessarily Hamiltonian) ordinary differential equations by means of Newton-like iterations. ...
Reducing and monitoring round-off error propagation for symplectic implicit Runge-Kutta schemes
We propose an implementation of symplectic implicit Runge-Kutta schemes for highly accurate numerical integration of non-stiff Hamiltonian systems based on fixed point iteration. Provided that the computations are done in ...
Towards Application of One-Class Classification Methods to Medical Data
(Hindawi Publishing, 2014)
In the problem of one-class classification (OCC) one of the classes, the target class, has to be distinguished from all other possible objects, considered as nontargets. In many biomedical problems this situation arises, ...
Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning
(Public Library Science, 2015-07-09)
Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. ...
Image-Based Delineation and Classification of Built Heritage Masonry
Fundacion Zain is developing new built heritage assessment protocols. The goal is to objectivize and standardize the analysis and decision process that leads to determining the degree of protection of built heritage in the ...