The brain can be regarded as an information processing system in which neurons store and propagate information about external stimuli and internal processes. Therefore, estimating interactions between neural activity at ...

Machine Learning is a cornerstone when it comes to artificial intelligence and big data analysis. It provides powerful algorithms that are capable of recognizing patterns, classifying data, and, basically, learn by themselves ...

Elaboración de un modelo predictivo de los niveles de contaminación, con el fin de identificar aquellas situaciones en las que el tráfico va a provocar que se superen determinados límites de contaminantes. El modelo se ...

Standard state estimation techniques, either for linear or nonlinear systems, typically assume a perfect knowledge of the system, i.e., known process and measurement functions, and the corresponding noise statistics. The ...

In this paper, a lossy partition coding technique is presented which leads to decoded partitions with unnoticeable losses. It uses a hexagonal grid for contour representation and it is based on the concept of multi-grid ...

The objective of this paper is to provide an efficient and yet simple method to encode the prediction error image of video sequences, based on a stochastic vector quantization (SVQ) approach that has been modified to cope ...

During the last few months, there has been increased attention in the stock market due to the Covid pandemic. The new-found leisure time has driven many people to buy and sell stocks without any knowledge on the matter at ...