Zobrazeno 1 - 10
of 69
pro vyhledávání: '"José C. Cunha"'
Autor:
Prudêncio, Elane Schwinden, Müller, Carmen M.O., Fritzen-Freire, Carlise B., Amboni, Renata D.M. Castanho, Petrus, José C. Cunha
Publikováno v:
In Food Research International February 2014 56:92-99
Autor:
Prudêncio, Ana P. Aguiar, Prudêncio, Elane Schwinden, Amboni, Renata D.M. Castanho, Murakami, Aureanna N. Negrão, Maraschin, Marcelo, Petrus, José C. Cunha, Ogliari, Paulo José, Leite, Rodrigo Santos
Publikováno v:
In Food and Bioproducts Processing July 2012 90(3):399-405
Autor:
José C. Cunha, Nuno Viduedo, A. Sofia Santos, Daniel Raydan, M. Manuel B. Marques, Artur M. S. Silva
Publikováno v:
Catalysts, Vol 11, Iss 1108, p 1108 (2021)
N-heterocycles, both saturated and unsaturated, are ubiquitous biologically active molecules that are extremely appealing scaffolds in drug discovery programs. Although classical synthetic methods have been developed to access many relevant N-heteroc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6820db2ba5bd57dc2d58912b0923f98e
https://www.mdpi.com/2073-4344/11/9/1108
https://www.mdpi.com/2073-4344/11/9/1108
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779603
ICCS (1)
ICCS (1)
The statistical extraction of multiwords (n-grams) from natural language corpora is challenged by computationally heavy searching and indexing, which can be improved by low error prediction of the n-gram frequency distributions. For different n-gram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f76632b66c5733718a755ca2cfc3fbb
https://doi.org/10.1007/978-3-030-77961-0_55
https://doi.org/10.1007/978-3-030-77961-0_55
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783030474355
PAKDD (2)
PAKDD (2)
Statistical multiword extraction methods can benefit from the knowledge on the n-gram (\(n \ge 1\)) frequency distribution in natural language corpora, for indexing and time/space optimization purposes. The appearance of increasingly large corpora ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::000b9a855851aa7189b08d406846d81b
https://doi.org/10.1007/978-3-030-47436-2_63
https://doi.org/10.1007/978-3-030-47436-2_63
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030227401
ICCS (2)
ICCS (2)
Statistical extraction of relevant n-grams in natural language corpora is important for text indexing and classification since it can be language independent. We show how a theoretical model identifies the distribution properties of the distinct n-gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41159a1bc3f19fad5fa89729f54ae3dd
https://doi.org/10.1007/978-3-030-22741-8_6
https://doi.org/10.1007/978-3-030-22741-8_6
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
The authors are grateful to Dr. Giuseppe Zibordi (E.C. Joint Research Centre, Italy) for his support from in situ marine radiometry perspectives. This study was supported by the Portuguese Foundation for Science and Technology (FCT/MEC) through the g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f2c8430c592200b07960113f3d356eb
http://www.scopus.com/inward/record.url?scp=84973333071&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=84973333071&partnerID=8YFLogxK
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Workflows have been successfully applied to express the decomposition of complex scientific applications. This has motivated many initiatives that have been developing scientific workflow tools. However the existing tools still lack adequate support
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38125953a0559f6b9b1a74724e717911
https://doi.org/10.4018/ijaras.2014040104
https://doi.org/10.4018/ijaras.2014040104
Publikováno v:
International Journal of Grid and High Performance Computing. 5:48-64
Data analytics applications handle large data sets subject to multiple processing phases, some of which can execute in parallel on clusters, grids or clouds. Such applications can benefit from using MapReduce model, only requiring the end-user to def
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e3205e8e14adfe8ddee81af0a06a8d9
https://doi.org/10.4018/ijghpc.2013100104
https://doi.org/10.4018/ijghpc.2013100104
Publikováno v:
IEEE BigData
There is a wide diversity of applications relying on the identification of the sequences of n consecutive words (n-grams) occurring in corpora. Many studies follow an empirical approach for determining the statistical distribution of the n-grams but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd4073a61958a9fce8d1e82c1dd27080
https://hdl.handle.net/10400.21/6829
https://hdl.handle.net/10400.21/6829