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Feature selection plays an important role in applications with high dimensional data. The assessment of the stability of feature selection/ranking algorithms becomes an important issue when the dataset is small and the aim is to gain insight into the underlying process by analyzing the most relevant features. In this work, we propose a graphical approach that enables to analyze the similarity between feature ranking techniques as well as their individual stability. Moreover, it works withdoi:10.5281/zenodo.1083751 fatcat:d3fwkllfzvby3c6pvip5yksehu
more »... er stability metric (Canberra distance, Spearman's rank correlation coefficient, Kuncheva's stability index,...). We illustrate this visualization technique evaluating the stability of several feature selection techniques on a spectral binary dataset. Experimental results with a neural-based classifier show that stability and ranking quality may not be linked together and both issues have to be studied jointly in order to offer answers to the domain experts.
., which is to achieve rotation invariance  , García-Olalla et al.,  presented an approach called adaptive local binary pattern with oriented standard deviation (ALBPS), which adds an oriented ...doi:10.1186/1687-5281-2013-31 fatcat:ymasdfgiffdarfygzjt5ghcmgi
Isaías García-Rodríguez: Formal analysis, Investigation, Validation, Writing -review & editing. Oscar García-Olalla: Formal analysis, Investigation, Validation, Writing -review & editing. ... García-Ordás et al. ...doi:10.1016/j.bspc.2021.102946 fatcat:wdlxldvtubeu5j76qtkex74fwi
Lecture Notes in Computer Science
[12, 13] that obtained a 76.80% of hit rate using texture descriptors when testing images captured at 100× and, more recently, García-Olalla et al. in  achieved a 78,67% of hit rate combining ...doi:10.1007/978-3-642-37410-4_6 fatcat:dwe27rzm5baflhn5iost3byk4e
COVID-19 disease has affected almost every country in the world. The large number of infected people and the different mortality rates between countries has given rise to many hypotheses about the key points that make the virus so lethal in some places. In this study, the eating habits of 170 countries were evaluated in order to find correlations between these habits and mortality rates caused by COVID-19 using machine learning techniques that group the countries together according to thedoi:10.3390/healthcare8040371 pmid:33003439 fatcat:zktogszf4zbtdldj3myftfwbgu
more »... ent distribution of fat, energy, and protein across 23 different types of food, as well as the amount ingested in kilograms. Results shown how obesity and the high consumption of fats appear in countries with the highest death rates, whereas countries with a lower rate have a higher level of cereal consumption accompanied by a lower total average intake of kilocalories.
García-Olalla et al. studied methods that make use of the statistical information of the image and combine them with LBP    , developing a new booster algorithm which improved previous results ...doi:10.3390/s19051048 fatcat:drjtfrtjdjfy5hpd7dswgnholm
We propose M-SRPCNN, a fully convolutional generative deep neural network to recover missing historical hourly data from a sensor based on the historic monthly energy consumption. The network performs a reconstruction of the load profile while keeping the overall monthly consumption, which makes it suitable to effectively replace energy apportioning systems. Experiments demonstrate that M-SRPCNN can effectively reconstruct load curves from single month overall values, outperforming traditional apportioning systems.doi:10.3390/en14164765 fatcat:kisbirqilrbu3nhitbfr6y3xsy
Author Contributions: Oscar García-Olalla and Enrique Alegre conceived the proposed method and designed the experiments; Surajit Saikia performed the experiments for CNNs and Oscar García-Olalla performed ... the rest of experiments; Oscar García-Olalla, Enrique Alegre, Laura Fernández-Robles and Eduardo Fidalgo analyzed the data; Laura Fernández-Robles and Oscar García-Olalla wrote the paper; Eduardo Fidalgo ...doi:10.3390/s18051329 pmid:29693590 pmcid:PMC5982789 fatcat:amwuxppsvzfuramseuvhjgc7pa
Stem Cell Reports
In vitro surrogate models of human cardiac tissue hold great promise in disease modeling, cardiotoxicity testing, and future applications in regenerative medicine. However, the generation of engineered human cardiac constructs with tissue-like functionality is currently thwarted by difficulties in achieving efficient maturation at the cellular and/or tissular level. Here, we report on the design and implementation of a platform for the production of engineered cardiac macrotissues from humandoi:10.1016/j.stemcr.2019.05.024 pmid:31231023 pmcid:PMC6626888 fatcat:b5hmzvroh5ez5fe27abdl5eo2y
more »... ripotent stem cells (PSCs), which we term "CardioSlice." PSC-derived cardiomyocytes, together with human fibroblasts, are seeded into large 3D porous scaffolds and cultured using a parallelized perfusion bioreactor with custom-made culture chambers. Continuous electrical stimulation for 2 weeks promotes cardiomyocyte alignment and synchronization, and the emergence of cardiac tissue-like properties. These include electrocardiogram-like signals that can be readily measured on the surface of CardioSlice constructs, and a response to proarrhythmic drugs that is predictive of their effect in human patients.
, Óscar García-Altés, Anna García-Calvente, Mar García-Gómez, Pilar García-Ruiz, Antonio J. ... García Caeiro, Ángela García Continente, Xavier García de la Hera, Manuela García de Olalla, Patricia García García, Francisco José García Martínez, Montserrat García Mochón, Leticia García-Algar ...doi:10.1016/j.gaceta.2012.01.002 fatcat:n3gtmrgeyzcibedtsn5jpx5rx4
National Union Catalog
Santa eee Santa Olalla, Enrique M, Olalle, José Pprate Garcia- see Prats Garcia-Olalla, José. Olalla Villalba, Ramén. ... Olander, Oscar Gustav, 1899- Police courtesy, by Oscar G. Olander Lansing, Mich., Franklin DeKleine company. *1987, a 47, (1) p inet. ...
Genetics plays a major role in Alzheimer Disease (AD). To date, 40 genes associated with AD have been identified, although most remain undiscovered. Clinical, neuropathological and genetic variability might impact genetic discoveries and complicate dissection of the biological pathways underlying AD. Methods: GR@ACE is a genome-wide study of dementia and its clinical endophenotypes that encompasses 4,120 cases and 3,289 controls from Spain. GR@ACE phenotypes were defined according to ADdoi:10.1101/528901 fatcat:zn7iq3ydvrbztpkx2fydfd4dlm
more »... certainty and the presence of vascular co-morbidity. To explore whether clinical endophenotypes reflect variation in underlying biological pathways, we first assessed the impact of known AD loci across endophenotypes to generate three loci categories. Next, we incorporated gene co-expression data and conducted pathway analysis on each category. To assess the impact of heterogeneity in the GWAS findings, the GR@ACE series were meta-analyzed with: 1) genotype-level data from dbGaP (N=21,235); and 2) summary statistics from IGAP Stages I and II (n=61,571 and n=81,455 respectively). Findings: We classified known AD loci in three categories, which might reflect the disease clinical heterogeneity, from vascular and mixed forms to pure AD pathology. Immune system pathways were detected in all categories. Intriguingly, vascular processes were only detected as a causal mechanism in probable AD. A meta-analysis of GR@ACE with additional GWAS datasets revealed the ANKRD31-rs4704171 signal in the HMGCR genomic region. We confirmed NDUFAF6-rs10098778 and SCIMP-rs7225151, which were previously detected by IGAP, to be suggestive signals. We also confirmed CD33-rs3865444 to be genome-wide significant. Interpretation: The regulation of vasculature is a prominent causal component of probable AD. In that context, cerebral amyloid angiopathy, the unique identified link between the vascular and amyloid hypotheses, deserves further investigation. The GR@ACE meta-analysis revealed novel AD genetic signals. GWAS results are strongly driven by the presence of clinical heterogeneity in the AD series.
Óscar Soriano. ... Fig. 4 . 4 Mecanismo de sujeción de documentos del archivo personal de Juan (4 archivos) -Galera, Alfredo (1 documento) -García Bengoechea (1 documento) -García Figueras, Tomás (32 archivos) ) : - ...doi:10.15366/cupauam2015.41.007 fatcat:5okuz67x6ja33jdntdd57adqmy
PÉREZ LATORRE, Federico CASIMIRO-SORIGUER SOLANAS, Oscar GAVIRA, Juan A. ... Notas de la Ecología de Santa Olalla de ía de Santa Olalla de í Cala Pertenece esta localidad a la unidad geológica de Sierra Morena, con materiales de los periodos Cámbrico y Devónico, constituidos por ...doi:10.24310/abm.v35i0.2864 fatcat:6pbail4derazxo3nwmyujohlkm
To adapt the ICU Mobility Scale (IMS) to the area of intensive care units (ICU) in Spain and to evaluate the metric properties of the Spanish version of the IMS (IMS-Es). Descriptive metric study developed in two phases. Phase 1, adaptation to Spanish of the IMS by a team of nurses and physiotherapists (translation, pilot, backtranslation and agreement). Phase 2, analysis of metric properties (convergent, divergent and predictive validity, interobserver reliability, sensitivity and minimumdoi:10.1016/j.enfi.2019.10.001 pmid:32205014 pmcid:PMC7128886 fatcat:p77k62274badbhcdfo64an3nsy
more »... tant difference) of the IMS-Es. Patient characteristics (Barthel, Charlson, BMI, sex), sedation/agitation level (RASS), ICU and hospital stays, survival, quality of life (SF-12), muscle weakness (MRC-SS) and mobility (IMS-Es) were recorded in the patients of the MOviPre national multicentre study. After obtaining the IMS-Es, it was implemented in 645 patients from 80 Spanish ICUs between April and June 2017. Convergent validity: moderate correlation between IMS-Es and MRC-SS (r=.389; P<.001) and significant comparison between groups with and without ICU-acquired weakness (P<.001). Divergent validity: no correlation between IMS-Es and BMI [r (95%CI): -.112 (-.232 to .011)], weight [r (95%CI): -.098 (-.219 to .026)], Charlson [r (95%CI): -.122 (-.242 to .001)] and Barthel [r(95%CI): -.037 (-.160 to .087)] and no differences between sexes (P=.587) or BMI categories (P=.412). Predictive validity: moderate and significant correlations with post-ICU hospital stay [r (95%CI): -.442 (-.502 to -.377)] and physical component of SF-12 (PCS) [r (95%CI): .318 (.063 to .534)]; patients without active mobilisation in ICU increased risk of hospital mortality [OR (95%CI): 3.769 (1.428 to 9.947)]. Interobserver reliability: very good concordance between nurses [CCI (95%CI): .987 (.983 to .990)] and nurse-physiotherapist [CCI (95%CI): .963 (.948 to .974)]. Sensitivity to change: small effect on discharge from ICU (d=.273) and moderate effect at 3months after hospital discharge (d=.709). Minimal important difference: 2-point difference cut-off point, 91.1% sensitivity and 100.0% specificity. The IMS-Es is useful, valid and reliable for implementation by ICU nurses and physiotherapists in assessing the mobility of critical patients.
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