Ponències/Comunicacions de congressos
Recent Submissions
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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 ... -
A hybrid recommender system for industrial symbiotic networks
(2018)
Conference lecture
Open AccessVarious solutions enabling the realization of synergies in Industrial Symbiotic Networks have been proposed. However, incorporating intelligence into the platforms that these networks use, supporting the involved actors ... -
An interoperable workflow-based framework for the automation of building intelligent process control systems
(International Environmental Modelling and Software Society (iEMSs), 2018)
Conference lecture
Open AccessOne of the major problems to design and implement a control/supervision system for a process lies in the need to establish an ad-hoc system for each process installation. On the other side, an open challenge related to the ... -
Random forest as a tumour genetic marker extractor
(IOS Press, 2019)
Conference report
Open AccessFinding tumour genetic markers is essential to biomedicine due to their relevance for cancer detection and therapy development. In this paper, we explore a recently released dataset of chromosome rearrangements in 2,586 ... -
Towards a goal-oriented agent-based simulation framework for high-performance computing
(IOS Press, 2019)
Conference lecture
Open AccessCurrently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability) or simulations including agents with ... -
Coin_flipper at eHealth-KD challenge 2019: voting LSTMs for key phrases and semantic relation identification applied to spanish eHealth texts
(CEUR-WS.org, 2019)
Conference report
Open AccessThis paper describes our approach presented for the eHealthKD 2019 challenge. Our participation was aimed at testing how far we could go using generic tools for Text-Processing but, at the same time, using common optimization ...
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