Encuesta satisfacción e-cienciaDatos
e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es aceptado por las principales editoriales científicas
Estamos comprometidos con la mejora de nuestro servicio. Conocer mejor sus expectativas nos ayudará a adaptar nuestros servicios a sus necesidades.
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Gracias por su colaboración.
3.421 a 3.430 de 3.440 Resultados
application/mac-compactpro - 66,0 GB -
MD5: cf5d23e515313d35a1a3d959e0140ed9
In order to obtain a decrypt password for this, you should sign and obtain a license for the National Library of Medicine (NLM) of the United States to use the UMLS Metathesaurus databases, as well as SNOMED-CT and MeSH ontologies included in this Docker image. For this purpose,... |
Archivo Gzip - 573,0 KB -
MD5: f21249e966162907d8c08edeb7f1851a
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Archivo Gzip - 573,5 KB -
MD5: 53086a1feda2458b97dfad161fc256f5
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Texto plano - 6,1 KB -
MD5: 1dd80692aac37dccc56aa55ef2086581
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Adobe PDF - 163,8 KB -
MD5: ceec87c68a5dc590ba4ad1dca2709bc6
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application/mac-compactpro - 6,8 GB -
MD5: 63c928b1042bb5c9ddfab647d5c1c492
In order to obtain a decrypt password for this, you should sign and obtain a license for the National Library of Medicine (NLM) of the United States to use the UMLS Metathesaurus databases, as well as SNOMED-CT and MeSH ontologies included in this Docker image. For this purpose,... |
31 oct 2019 -
Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures
Sintasis R - 46,5 KB -
MD5: db5cf18c43c60bc151793ea3d62db470
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29 ene 2019 -
Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures
Adobe PDF - 278,8 KB -
MD5: c35e28086040251b163c5960c7a0c53b
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29 ene 2019 -
Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures
Desconocido - 53,0 KB -
MD5: 1dbd8b637fbc07ff760ed182692a07ab
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29 ene 2019 -
Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures
Sintasis R - 40,8 KB -
MD5: 3703d2cae12ce8dad349bb0862156abb
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