1,061 to 1,070 of 1,505 Results
Dec 10, 2021 -
Stressors, uplifts, coping and well-being in a sample of university faculty and staff in confinement due to covid-19
Texto plano - 3,6 KB -
MD5: 92a0bafa865b4ffc9c4e51949e2d78ae
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Dec 10, 2021 -
Stressors, uplifts, coping and well-being in a sample of university faculty and staff in confinement due to covid-19
Adobe PDF - 3,1 MB -
MD5: 2f44e3b465c2867524da758cd3a2174b
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Jun 3, 2021 - Universidad Nacional de Educación a Distancia (UNED)
Castellanos, Angel; Cigarran Recuero, Juan Manuel; Garcia-Serrano, Ana M., 2021, "Formal concept analysis for topic detection: a clustering quality experimental analysis", https://doi.org/10.21950/ML9OI9, e-cienciaDatos, V1
RepLab is a competitive evaluation exercise for Online Reputation Management systems organized as an activity of CLEF. RepLab 2013 focused on the task of monitoring the reputation of entities (companies, organizations, celebrities, etc.) on Twitter. The monitoring task for analysts consists of searching the stream of tweets for potential mentions t... |
Jun 3, 2021 -
Formal concept analysis for topic detection: a clustering quality experimental analysis
Archivo Gzip - 2,7 MB -
MD5: c79dfaaeba4970321576a7ce1650b40f
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Jun 3, 2021 -
Formal concept analysis for topic detection: a clustering quality experimental analysis
Texto plano - 4,8 KB -
MD5: a4c7c08bab5647aea051fd0737be1b0e
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May 6, 2021 - Universidad Nacional de Educación a Distancia (UNED)
Lastra-Díaz, Juan J.; Lara-Clares, Alicia; Garcia-Serrano, Ana M., 2020, "Reproducibility dataset for a benchmark of biomedical semantic measures libraries", https://doi.org/10.21950/OTDA4Z, e-cienciaDatos, V5
This dataset introduces a set of reproducibility resources with the aim of allowing the exact replication of the experiments introduced by our companion paper, which compare the performance of the three UMLS-based semantic similarity libraries reported in the literature as follows: (1) UMLS::Similarity [20], (2) Semantic Measures Library (SML) [3],... |
Archivo Gzip - 574,8 KB -
MD5: 77aee55e76f1cf515b04740c746e524f
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Sintasis R - 63,4 KB -
MD5: 286b156419070aa804bc233a6bb8b3b0
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application/mac-compactpro - 4,0 GB -
MD5: 3c74a196b4775bc558986f597bfa9f73
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... |
application/mac-compactpro - 73,9 MB -
MD5: 36dc6139142c18e2b50c5bd8fa573e5f
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... |
