Exploració per autor "Garcia Gasulla, Dario"
Ara es mostren els items 21-40 de 66
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Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients
(Elsevier, 2021)
Article
Accés obertWe aimed to examine the circulating microRNA (miRNA) profile of hospitalized COVID-19 patients and evaluate its potential as a source of biomarkers for the management of the disease. This was an observational and multicenter ... -
Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-13)
Article
Accés obertThe COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of this change. In order to study mobility ... -
Data augmentation for deep learning of non-mydriatic screening retinal fundus images
(Springer, 2018)
Text en actes de congrés
Accés restringit per política de l'editorialFundus image is an effective and low-cost tool to screen for common retinal diseases. At the same time, Deep Learning (DL) algorithms have been shown capable of achieving similar or even better performance accuracies than ... -
Discovery of spatio-temporal patterns from location based social networks
(IOS Press, 2014)
Text en actes de congrés
Accés restringit per política de l'editorialLocation Based Social Networks (LBSN) have become an interesting source for mining user behavior. These networks (e.g. Twitter, Instagram or Foursquare) collect spatio-temporal data from users in a way that they can be ... -
Discovery of spatio-temporal patterns from location-based social networks
(2015-07-20)
Article
Accés obertLocation Based Social Networks (LBSN) like Twitter or Instagram are a good source for user spatio-temporal behavior. These networks collect data from users in such a way that they can be seen as a set of collective and ... -
DOME: recommendations for supervised machine learning validation in biology
(Nature Research, 2021)
Article
Accés obertSupervised machine learning is widely used in biology and deserves more scrutiny. We present a set of community-wide recommendations (DOME) aiming to help establish standards of supervised machine learning validation in ... -
Effects of intubation timing in patients with COVID-19 throughout the four waves of the pandemic: a matched analysis
(2023)
Article
Accés obertBackground: The primary aim of our study was to investigate the association between intubation timing and hospital mortality in critically ill patients with COVID-19-associated respiratory failure. We also analysed both ... -
Efficient and versatile data analytics for deep networks
(Barcelona Supercomputing Center, 2015-05-05)
Text en actes de congrés
Accés obertDeep networks (DN) perform cognitive tasks related with image and text at human-level. To extract and exploit the knowledge coded within these networks we propose a framework which combines state-of-the-art technology in ... -
EPSILoN: Environmental Problem Solving Interface Logic Non-monotonic
(Universitat Politècnica de Catalunya, 2011-09-05)
Projecte Final de Màster Oficial
Accés obertEnglish: The goal of this thesis is to study the viability of an IDSS based on a LFAC. At the end, we intend to develop a complete IDSS application based on a LFAC which implements a real domain and which can be put to ... -
Evaluating link prediction on large graphs
(IOS Press, 2015)
Text en actes de congrés
Accés obertExploiting network data (i.e., graphs) is a rather particular case of data mining. The size and relevance of network domains justifies research on graph mining, but also brings forth severe complications. Computational ... -
Feature discriminativity estimation in CNNs for transfer learning
(IOS Press, 2019)
Text en actes de congrés
Accés obertThe purpose of feature extraction on convolutional neural networks is to reuse deep representations learnt for a pre-trained model to solve a new, potentially unrelated problem. However, raw feature extraction from all ... -
Focus and bias: will it blend?
(IOS Press, 2022)
Text en actes de congrés
Accés obertOne direct application of explainable AI feature attribution methods is to be used for detecting unwanted biases. To do so, domain experts typically have to review explained inputs, checking for the presence of unwanted ... -
Focus! Rating XAI methods and finding biases
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertAI explainability improves the transparency and trustworthiness of models. However, in the domain of images, where deep learning has succeeded the most, explainability is still poorly assessed. In the field of image ... -
Full-network embedding in a multimodal embedding pipeline
(Association for Computational Linguistics, 2017)
Comunicació de congrés
Accés obertThe current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representation into a shared embedding space. In this ... -
GOPHER, an HPC framework for large scale graph exploration and inference
(Springer, 2020)
Text en actes de congrés
Accés obertBiological ontologies, such as the Human Phenotype Ontology (HPO) and the Gene Ontology (GO), are extensively used in biomedical research to investigate the complex relationship that exists between the phenome and the ... -
Healthy Twitter discussions? Time will tell
(2022-03-21)
Report de recerca
Accés obertStudying misinformation and how to deal with unhealthy behaviours within online discussions has recently become an important field of research within social studies. With the rapid development of social media, and the ... -
Hierarchical inference applied to Cyc
(IOS PRESS-ECSC, BRUXELLES, 2013)
Text en actes de congrés
Accés obertHierarchical graphs are a frequent solution for capturing symbolic data due the importance of hierarchies for defining knowledge. In these graphs, relations among elements may contain large portions of the element’s ... -
Higher frequency of comorbidities in fully vaccinated patients admitted to the ICU due to severe COVID-19: a prospective, multicentre, observational study
(European Respiratory Society, 2022-02)
Article
Accés obertSevere COVID-19 disease requiring ICU admission is possible in the fully vaccinated population, especially in those with immunocompromised status and other comorbidities. Interventions to improve vaccine response might be ... -
HSCW intelligent management
(Internatinal Water Association (IWA), 2011)
Comunicació de congrés
Accés restringit per política de l'editorialThis work is motivated by the difficulty of representing Environmental domains in a functional way. We present a formalization approach covering both environmental and computational needs. It allows us to produce an ... -
ICU-acquired pneumonia is associated with poor health post-COVID-19 syndrome
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-31)
Article
Accés obertSome patients previously presenting with COVID-19 have been reported to develop persistent COVID-19 symptoms. While this information has been adequately recognised and extensively published with respect to non-critically ...
