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A Multi-Disciplinary Approach to Remote Sensing through Low-Cost UAVs
(MDPI, 2017-06)
The use of Unmanned Aerial Vehicles (UAVs) based on remote sensing has generated low cost monitoring, since the data can be acquired quickly and easily. This paper reports the experience related to agave crop analysis with ...
A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface
(Public Library Science, 2019-06-18)
A brain-computer interface (BCI), based on motor imagery EEG, uses information extracted from the electroencephalography signals generated by a person who intends to perform any action. One of the most important issues of ...
ORdensity: user-friendly R package to identify differentially expressed genes
(BCM, 2020-04-07)
Background Microarray technology provides the expression level of many genes. Nowadays, an important issue is to select a small number of informative differentially expressed genes that provide biological knowledge and may ...
Histogram-Based Descriptor Subset Selection for Visual Recognition of Industrial Parts
(MDPI, 2020-05-22)
This article deals with the 2D image-based recognition of industrial parts. Methods based on histograms are well known and widely used, but it is hard to find the best combination of histograms, most distinctive for instance, ...
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, ...
ICGE: an R package for detecting relevant clusters and atypical units in gene expression
(BioMed Central, 2012-02)
Background: Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to ...
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 ...
Continuous changes of variables and the Magnus expansion
(IOP, 2019-09-23)
In this paper, we are concerned with a formulation of Magnus and Floquet-Magnus expansions for general nonlinear differential equations. To this aim, we introduce suitable continuous variable transformations generated by ...
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 ...
EXFI: Exon and splice graph prediction without a reference genome
(Wiley, 2020-08)
For population genetic studies in nonmodel organisms, it is important to use every single source of genomic information. This paper presents EXFI, a Python pipeline that predicts the splice graph and exon sequences using ...