Zobrazeno 1 - 10
of 28
pro vyhledávání: '"CASTRO, D. C."'
Autor:
Robinson, R., Dou, Q., Castro, D. C., Kamnitsas, K., de Groot, M., Summers, R. M., Rueckert, D., Glocker, B.
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention (2020), pp. 710-719, LNCS 12267
We investigate the use of image-and-spatial transformer networks (ISTNs) to tackle domain shift in multi-site medical imaging data. Commonly, domain adaptation (DA) is performed with little regard for explainability of the inter-domain transformation
Externí odkaz:
http://arxiv.org/abs/2006.16741
Autor:
BIGANZOLI, M.1, CASTRO, D. C.1,2 dcastro@fca.unl.edu.ar, GHÍO, N.1, GABRIEL, P. M.1, ÁLVAREZ, N.1, BUYATTI, M. A.1
Publikováno v:
Revista FAVE. 2021, Vol. 20 Issue 1, p189-203. 15p.
Publikováno v:
The Journal of Parasitology, 2010 Feb 01. 96(1), 40-48.
Externí odkaz:
https://www.jstor.org/stable/40606675
Autor:
CASTRO, D. C.1, ABELVEY, E. C.1, RICHARD, G. A.2, GABRIEL, P.1, ALVAREZ, N.1, BUYATTI, M.1, GARIGLIO, N.1
Publikováno v:
Revista FAVE. 2018, Vol. 17 Issue 2, p7-21. 15p.
Publikováno v:
Journal of Machine Learning Research, 20 (178)
Scopus-Elsevier
Scopus-Elsevier
Revealing latent structure in data is an active field of research, having introduced excitingtechnologies such as variational autoencoders and adversarial networks, and is essentialto push machine learning towards unsupervised knowledge discovery. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95f62a0a3721106f219a1164a6e77def
https://hdl.handle.net/20.500.11850/398616
https://hdl.handle.net/20.500.11850/398616
Autor:
Castro, D. C.1,2 dcastro@fca.unl.edu.ar, Micheloud, N. A.3, Butarelli, M.1, Álvarez, N. H.1, Favaro, J. C.1, Gariglio, N. F.1
Publikováno v:
Revista FAVE. 1/1/2015, Vol. 14 Issue 1, p1-11. 11p.
Autor:
Kamnitsas, K., Castro, D. C., Loïc Le Folgoc, Walker, I., Tanno, R., Rueckert, D., Glocker, B., Criminisi, A., Nori, A.
Publikováno v:
International Conference on Machine Learning (ICML) 2018
Daniel Coelho de Castro
Scopus-Elsevier
Daniel Coelho de Castro
Scopus-Elsevier
We present a novel cost function for semi-supervised learning of neural networks that encourages compact clustering of the latent space to facilitate separation. The key idea is to dynamically create a graph over embeddings of labeled and unlabeled s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace858418944f3a0cc78f076c7acc42b
http://arxiv.org/abs/1806.02679
http://arxiv.org/abs/1806.02679
Akademický článek
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Autor:
González, A., Castro, D. C.
Publikováno v:
Graellsia, Vol 52, Iss 0, Pp 31-35 (1996)
The authors described a new species Hoplopleura zentaensi sp. n. based on specimens collected on Andinomys edax Thomas, l902, from Sierra de Zenta, Jujuy province, Argentina. Descriptions involve the holotype female; three nymphal instar, external ar
Publikováno v:
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
In captive common marmoset groups, the reproductive inhibition observed in subordinate female seems to be a result of olfactory, visual and behavioral cues from the dominant female. However, few studies have examined the relationship among adult male
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::10f417470397295034d7bc7d2a450289
https://repositorio.ufrn.br/jspui/handle/1/18
https://repositorio.ufrn.br/jspui/handle/1/18