581 a 590 de 623 Resultados
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
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 |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
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].... |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
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... |
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... |
Hoja de cálculo MS Excel - 19,2 KB -
MD5: 1c47892186d9cb9377f42b7d31c23b13
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Adobe PDF - 58,8 KB -
MD5: e2cfd51cdc358cedc54f1eac093f9ca6
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Texto plano - 5,2 KB -
MD5: d17301e3f50e28ab558722398490a878
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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... |
3 jun 2021 -
Formal concept analysis for topic detection: a clustering quality experimental analysis
Archivo Gzip - 2,7 MB -
MD5: c79dfaaeba4970321576a7ce1650b40f
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3 jun 2021 -
Formal concept analysis for topic detection: a clustering quality experimental analysis
Texto plano - 4,8 KB -
MD5: a4c7c08bab5647aea051fd0737be1b0e
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