Repositorio de Datos de la UNED
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Archivo ZIP - 100,9 GB - MD5: 079326772685a95c86e0ed003137bd42
IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/PreprocessedBioCCorpus.zip
Archivo Gzip - 39,0 GB - MD5: 6ccf1d8b29b824cafd36ac1d3a238d1b
This file contains the Word Embedding pretrained models detailed in HESML V2R1 [1] and our pretrained model based on Fastext [3] in the BioC PMC Corpus [4]. Our pretrained model has been trained on Fastext skipgram model using the parameters from [1] in the BioC PMC Corpus [4]....
application/mac-compactpro - 10,4 GB - MD5: 3c265c455fe16950e93ce03387bc92d0
This file contains all the dependencies and external sources for executing the experiments in [1]. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/Dependencies.tar.gz.cpt. In order to obtain a decrypt password for this, you should sign...
8 jun 2021
Juan M. Guiote; Vanesa Lozano; Miguel A. Vallejo; Blanca Mas, 2021, "Autogenic meditation training in a randomized controlled trial: a framework for promoting mental health and attention regulation in children", https://doi.org/10.21950/SVZ860, e-cienciaDatos, V1
This research project aims to know the effectiveness of autogenic meditation training on selective and sustained attention, state and trait anxiety and a set of emotional and behavioral symptoms in a Spanish scholar population sample. DESIGN: Multi-arm randomized controlled trial...
3 jun 2021
Castellanos, Angel; Cigarrán, Juan; Garcia-Serrano, Ana, 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 analys...
Archivo Gzip - 2,7 MB - MD5: c79dfaaeba4970321576a7ce1650b40f
Texto plano - 4,8 KB - MD5: a4c7c08bab5647aea051fd0737be1b0e
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