Repositorio de Datos de la UNED
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

3,681 to 3,690 of 3,719 Results
readme autogenic meditation training research.txt
Jun 8, 2021 - Autogenic meditation training in a randomized controlled trial: a framework for promoting mental health and attention regulation in children
Texto plano - 5,2 KB - MD5: d17301e3f50e28ab558722398490a878
Formal concept analysis for topic detection: a clustering quality experimental analysis
Jun 3, 2021
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...
FCA.tar.gz
Jun 3, 2021 - Formal concept analysis for topic detection: a clustering quality experimental analysis
Archivo Gzip - 2,7 MB - MD5: c79dfaaeba4970321576a7ce1650b40f
readme.txt
Jun 3, 2021 - Formal concept analysis for topic detection: a clustering quality experimental analysis
Texto plano - 4,8 KB - MD5: a4c7c08bab5647aea051fd0737be1b0e
Reproducibility dataset for a benchmark of biomedical semantic measures libraries
Reproducibility dataset for a benchmark of biomedical semantic measures libraries
May 6, 2021
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],...
rawoutput-run3.tar.gz
May 6, 2021 - Reproducibility dataset for a benchmark of biomedical semantic measures libraries
Archivo Gzip - 574,8 KB - MD5: 77aee55e76f1cf515b04740c746e524f
HESML V1R5 Java software library of ontology-based semantic similarity measures and information content models
HESML V1R5 Java software library of ontology-based semantic similarity measures and information content models
Apr 30, 2021
Lastra-Díaz, Juan José; Lara-Clares, Alicia; Garcia-Serrano, Ana M., 2021, "HESML V1R5 Java software library of ontology-based semantic similarity measures and information content models", https://doi.org/10.21950/1RRAWJ, e-cienciaDatos, V2
This dataset introduces HESML V1R5 which is the fifth release of the Half-Edge Semantic Measures Library (HESML) detailed in [13]. HESML V1R5 is a linearly scalable and efficient Java software library of ontology-based semantic similarity measures and Information Content (IC) models for ontolgies like WordNet, SNOMED-CT, MeSH, GO and any other onto...
HESML-Release_HESML_V1R5.0.2.zip
Apr 30, 2021 - HESML V1R5 Java software library of ontology-based semantic similarity measures and information content models
Archivo ZIP - 143,3 MB - MD5: 732ab8e8edd746b4705714fd638253bf
HESML_V1R5_0_2_Release_notes.pdf
HESML_V1R5_0_2_Release_notes.pdf
Apr 30, 2021 - HESML V1R5 Java software library of ontology-based semantic similarity measures and information content models
Adobe PDF - 227,4 KB - MD5: a74d01c02d93c52ea0c2c5271148518e
Documentation
final_benchmark_tables.R
Apr 30, 2021 - Reproducibility dataset for a benchmark of biomedical semantic measures libraries
Sintasis R - 63,4 KB - MD5: 286b156419070aa804bc233a6bb8b3b0
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.