Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Gonzalo Joya"'
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030850296
Advances in Computational Intelligence ISBN: 9783030850982
Advances in Computational Intelligence ISBN: 9783030850982
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b81f9e12e65991d30e0a7eeb3ecb0b3
https://doi.org/10.1007/978-3-030-85030-2_51
https://doi.org/10.1007/978-3-030-85030-2_51
Autor:
Ruxandra Stoean, C. Patru, Andreea Sorina Marcu, Dan Ruican, Dominic Gabriel Iliescu, Vlad Ilie, Catalin Stoean, Miguel Atencia, Mircea Hotoleanu, Gonzalo Joya, Rares Trocan, Rodica Daniela Nagy
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030850296
IWANN (1)
IWANN (1)
The current paper challenges convolutional neural networks to address the computationally undebated task of recognizing four key views in first trimester fetal heart scanning (the aorta, the arches, the atrioventricular flows and the crossing of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96284183159797fb1026ab149778d2e7
https://doi.org/10.1007/978-3-030-85030-2_1
https://doi.org/10.1007/978-3-030-85030-2_1
Publikováno v:
Mathematics
Volume 8
Issue 7
Mathematics, Vol 8, Iss 1078, p 1078 (2020)
Volume 8
Issue 7
Mathematics, Vol 8, Iss 1078, p 1078 (2020)
Uncertainty quantification in deep learning models is especially important for the medical applications of this complex and successful type of neural architectures. One popular technique is Monte Carlo dropout that gives a sample output for a record,
Autor:
Francisco García-Lagos, Ruxandra Stoean, Luis Velázquez-Pérez, Roberto Becerra-García, Gonzalo Joya, Miguel Atencia, Rodolfo García-Bermúdez, Catalin Stoean
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 7, p e0236401 (2020)
PLoS ONE, Vol 15, Iss 7, p e0236401 (2020)
Medical data are often tricky to get mined for patterns even by the generally demonstrated successful modern methodologies of deep learning. This paper puts forward such a medical classification task, where patient registers of two of the categories
Publikováno v:
Neural Computing and Applications. 32:309-311
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5021, p 5021 (2021)
Sensors
Volume 21
Issue 15
Sensors, Vol 21, Iss 5021, p 5021 (2021)
Sensors
Volume 21
Issue 15
Saccadic electrooculograms are discrete biosignals that contain the instantaneous angular position of the human eyes as a response to saccadic visual stimuli. These signals are essential to monitor and evaluate several neurological diseases, such as
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030205201
IWANN (1)
IWANN (1)
One prevalent option used in the manufacturing of dental and orthopedic medical implants is titanium, since it is a strong, yet light, biocompatible metal. Nevertheless, possible micro-defects due to earlier chemical treatment can alter its surface m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66345e7bb134da6bee5320352ecb9da5
https://doi.org/10.1007/978-3-030-20521-8_71
https://doi.org/10.1007/978-3-030-20521-8_71
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030205171
IWANN (2)
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
IWANN (2)
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
In this paper we introduce a novel methodology for unsupervised analysis of time series, based upon the iterative implementation of a clustering algorithm embedded into the evolution of a recurrent Echo State Network. The main features of the tempora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aac5f483e993716fed9c550566eae87a
https://doi.org/10.1007/978-3-030-20518-8_7
https://doi.org/10.1007/978-3-030-20518-8_7
Publikováno v:
Soft Computing. 19:2447-2455
In this paper, we study the use of various strategies for selecting the server node in Peer to Peer networks, which are especially oriented networks with limited resources such as wireless mesh networks based on WiFi technology. We examine three diff