1,431 to 1,438 of 1,438 Results
Texto plano - 17,9 KB -
MD5: 147d6f42cd783eee0ed3a99c14beef74
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Hoja de cálculo MS Excel - 29,6 KB -
MD5: 9676a9e01add35558fe2ed3bdb6af897
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Dec 18, 2020 - Universidad Nacional de Educación a Distancia (UNED)
Hennig, Sebastian; Garcia-Serrano, Ana M., 2020, "Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain", https://doi.org/10.21950/DYAZRE, e-cienciaDatos, V1
Semantic Textual Similarity (also known as Semantic Short-text Similarity) is a research problem that aims to calculate the similarity among text units (phrases, sentences, paragraphs or texts) focusing on the semantic content. The importance of Semantic Similarity in Natural Language Processing has increased in the last years due to its relevance... |
Dec 18, 2020 -
Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain
Texto plano - 6,1 KB -
MD5: 1dd80692aac37dccc56aa55ef2086581
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Dec 18, 2020 -
Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain
Adobe PDF - 163,8 KB -
MD5: ceec87c68a5dc590ba4ad1dca2709bc6
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Dec 18, 2020 -
Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain
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, you should go top the NLM license page, https://uts.nlm.nih.gov//licen... |
Apr 3, 2019 - Universidad Carlos III de Madrid
Olmeda, Daniel; Premebida, Cristiano; Nunes, Urbano; Armingol, José M.; Escalera, Arturo de la, 2019, "LSI Far Infrared Pedestrian Dataset", https://doi.org/10.21950/VBIIBU, e-cienciaDatos, V1
The database consists of FIR images collected from a vehicle driven in outdoors urban scenarios. Images were acquired with an Indigo Omega imager, with a resolution of 164x129 pixels, a grey-level scale of 14 bits, and focal length of 318 pixels. The camera was mounted on the exterior of the vehicle, to avoid infrared filtering of the windshield. R... |
Apr 3, 2019 -
LSI Far Infrared Pedestrian Dataset
Archivo Gzip - 418,6 MB -
MD5: 39b3ff8745175789304c8d47c33af904
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