671 a 680 de 1.101 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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20 nov 2020 - Universidad Rey Juan Carlos
Escribano, Nuria; Giráldez, Isabel; Laura Ceballos; Cerdán, Fátima; Infante, Raquel; Fuentes, Mª Victoria, 2020, "Dental emergency care in Spain during the state of alarm due to COVID-19 pandemic", https://doi.org/10.21950/3STT2Q, e-cienciaDatos, V1
The state of alarm due to COVID-19 in Spain led to limit dental treatment exclusively to emergencies. The objective of the survey was to evaluate the amount and type of emergencies attended during this period, as well as to know how they were solved and what measures were adopted... |
MS Word - 30,9 KB -
MD5: 9de93a205a3c96a78a75ffd0fdec4faa
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Datos tabulares - 580,2 KB
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Texto plano - 2,7 KB -
MD5: 1d6444beee565b3d926f7e3764d2ea1a
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10 jul 2020 -
Anemone active regions catalogue from 2011-2014
Texto plano - 7,3 KB -
MD5: 0f2e7ebcfd110894c93145e956ee86de
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Lastra-Díaz, Juan J.; Goikoetxea, Josu; Hadj Taieb, Mohamed Ali; Garcia-Serrano, Ana M.; Ben Aouicha, Mohamed; Agirre, Eneko, 2019, "Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures", https://doi.org/10.21950/AQ1CVX, e-cienciaDatos, V2
This dataset is a companion reproducibility package of the related paper submitted for publication, whose aim is to allow the exact replication of a very large experimental survey on word similarity between the families of ontology-based semantic similarity measures and word embe... |
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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