Ponències/Comunicacions de congressos
Recent Submissions
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knowlEdge Project –Concept, methodology and innovations for artificial intelligence in industry 4.0
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessAI is one of the biggest megatrends towards the 4th industrial revolution. Although these technologies promise business sustainability as well as product and process quality, it seems that the ever-changing market demands, ... -
Collection, processing and analysis of heterogeneous data coming from Spanish hospitals in the context of COVID-19
(IOS Press, 2021)
Conference report
Open AccessThe COVID-19 pandemic has already caused more than 150,000,000 cases worldwide. In Spain this has lead to a massive and simultaneous saturation of all sanitary regions. Coherently, the quick and consistent understanding ... -
Applying and verifying an explainability method based on policy graphs in the context of reinforcement learning
(IOS Press, 2021)
Conference report
Open AccessThe advancement on explainability techniques is quite relevant in the field of Reinforcement Learning (RL) and its applications can be beneficial for the development of intelligent agents that are understandable by humans ... -
The impact of COVID-19 on flight networks
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessAs COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections. Such restrictions have a direct effect on the volume of international flights among ... -
Modelling temporal relationships in pseudomonas aeruginosa antimicrobial resistance prediction in intensive care unit
(CEUR-WS.org, 2020)
Conference lecture
Open AccessIn this paper, the prediction of antimicrobial resistance of Pseudomonas aeruginosa bacteria caused by nosocomial infections in the Intensive Care Unit (ICU) was considered. It was trained a Logistic Regression model using ... -
Denoising wavefront sensor image with deep neural networks
(International Society for Photo-Optical Instrumentation Engineers (SPIE), 2020)
Conference report
Open AccessA classical closed-loop adaptive optics system with a Shack-Hartmann wavefront sensor (WFS) relies on a center of gravity approach to process the WFS information and an integrator with gain to produce the commands to a ... -
The role of intelligent decision support systems in sustainability: an end-user experience
(2019)
Conference lecture
Restricted access - publisher's policyThe paper presents a preliminary analysis of some intelligent decision support systems for sustainability from the point of view of the end user experience, by comparing up to four available systems. The role that these ... -
GOPHER, an HPC framework for large scale graph exploration and inference
(Springer, 2020)
Conference report
Open AccessBiological 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 ... -
Data augmentation for deep learning of non-mydriatic screening retinal fundus images
(Springer, 2018)
Conference report
Restricted access - publisher's policyFundus 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 ... -
Building graph representations of deep vector embeddings
(Association for Computational Linguistics, 2017)
Conference lecture
Open AccessPatterns stored within pre-trained deep neural networks compose large and powerful descriptive languages that can be used for many different purposes. Typically, deep network representations are implemented within vector ... -
Full-network embedding in a multimodal embedding pipeline
(Association for Computational Linguistics, 2017)
Conference lecture
Open AccessThe 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 ... -
Herramienta basada en minería de datos para la automatización del diseño de sistemas inteligentes en EDAR
(Asociación Española de Abastecimientos de Agua y Saneamiento, 2019)
Conference lecture
Open AccessUno de los principales problemas para diseñar e implementar un sistema de supervisión y control para un proceso radica en la necesidad de establecer una solución ad-hoc para cada instalación. La interoperabilidad de los ...
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